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1. COMPLIANCE TO DIABETIC MANAGEMENT AMONGST PATIENTS WITH DIABETES MELLITUS ATTENDING A GOVERNMENT HOSPITAL IN KANO, NORTHWESTERN NIGERIA

Author: LAWAN UM, TANIMU N, and GADANYA MA
Subjects: compliance, diabetic management, antidiabetic measures, Medicine (General), R5-920, Dentistry, RK1-715
Abstract: Background: The physical, social, and economic burden of diabetes mellitus result mostly from the complication of the disease, which occur because of poor compliance to treatment. However, physicians commonly ignore this important aspect of diabetic management. This study assessed patients' compliance to diabetic control measures using a combination of direct and indirect approaches. Objectives: The study aimed to assess diabetic patients' compliance to management, as well as the sociodemographic factors influencing their compliance. Methods: A cross sectional design was used to study 240 systematically selected diabetic patients from the diabetic Clinic of a General Hospital. Subjects were interviewed using a semi-structured interviewer administered questionnaires, and data generated were analyzed using "Mini tab" 12.21 computer statistical software. Patients compliance was assessed using regularity of appointment visit, dietary control, regularity on drugs, modification of life style, and scored using a Likert scale. Resulls: More than one-third (37.1%) of the diabetic patients had good compliance to diabetic management, whereas 41.3% and 21.6% of them had moderate and poor compliance respectively. Compliance however varied for the different methods used to control the disease, with compliance to drugs use being highest. The sex of the patients, their educational status, occupation, and their average monthly incomes were found to significantly influence the patients' compliance to diabetic management. Conclusion: This study demonstrates that diabetic patients are being selective on the use of disease control measures prescribed to them by their physicians.
Published: 2008

2. Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

Author: Vollset, SE, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbastabar, H, Abd Al Magied, AHA, Abd ElHafeez, S, Abdelkader, A, Abdelmasseh, M, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdullahi, A, Abebe, M, Abiodun, O, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Absalan, A, Abualruz, H, Abubakar, B, Abukhadijah, HJJ, Addolorato, G, Adekanmbi, V, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adhikary, RK, Adnani, QES, Adzigbli, LA, Afrashteh, F, Afzal, MS, Afzal, S, Agbozo, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahlstrom, AJ, Ahmad, A, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmed, A, Ahmed, H, Ahmed, S, Ahmed, SA, Akinosoglou, K, Akkaif, MA, Akrami, AE, Akter, E, Al Awaidy, S, Al Hasan, SM, Al Mosa, AS, Al Ta'ani, O, Al Zaabi, OAM, Alahdab, F, Alajlani, MM, Al-Ajlouni, Y, Alalalmeh, SO, Al-Aly, Z, Alam, K, Alam, N, Alam, T, Alam, Z, Al-Amer, RM, Alanezi, FM, Alanzi, TM, Albakri, A, Aldhaleei, WA, Aldridge, RW, Alemohammad, SY, Alemu, YM, Al-Gheethi, AAS, Al-Hanawi, MK, Ali, A, Ali, I, Ali, MU, Ali, R, Ali, SSS, Ali, VE, Ali, W, Al-Ibraheem, A, Alicandro, G, Alif, SM, Aljunid, SM, Alla, F, Almazan, JU, Al-Mekhlafi, HM, Alqutaibi, AY, Alrawashdeh, A, Alrousan, SM, Al-Sabah, SK, Alsabri, MA, Altaany, Z, Al-Tammemi, AB, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Al-Wardat, MS, Al-Worafi, YM, Aly, H, Alyahya, MS, Alzoubi, KH, Al-Zyoud, W, Amani, R, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Andrews, EA, Anil, A, Anil, S, Anoushiravani, A, Antony, CM, Antriyandarti, E, Anuoluwa, BS, Anvari, S, Anyasodor, AE, Appiah, F, Aquilano, M, Arab, JP, Arabloo, J, Arafa, EA, Arafat, M, Aravkin, AY, Ardekani, A, Areda, D, Aregawi, BB, Aremu, A, Ariffin, H, Arkew, M, Armani, K, Artamonov, AA, Arumugam, A, Asghari-Jafarabadi, M, Ashbaugh, C, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Aujayeb, A, Ausloos, M, Awad, H, Awotidebe, AW, Ayatollahi, H, Ayuso-Mateos, JL, Azadnajafabad, S, Azeez, FK, Azevedo, RMS, Badar, M, Baghdadi, S, Bagheri, M, Bagheri, N, Bai, R, Baker, JL, Bako, AT, Balakrishnan, S, Balcha, WF, Baltatu, OC, Barchitta, M, Bardideh, E, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Barteit, S, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Bauckneht, M, Baune, BT, Bayati, M, Bayileyegn, NS, Behnoush, AH, Behzadi, P, Beiranvand, M, Bello, OO, Belo, L, Beloukas, A, Bemanalizadeh, M, Bensenor, IM, Benzian, H, Beran, A, Berezvai, Z, Bernstein, RS, Bettencourt, PJG, Beyene, KA, Beyene, MG, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhandari, D, Bharadwaj, R, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhattacharjee, NV, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhuiyan, MA, Bisignano, C, Biswas, B, Bjorge, T, Bodolica, V, Bodunrin, AO, Hashemi, MB, Basara, BB, Borhany, H, Bosoka, SA, Carvajal, AB, Bouaoud, S, Boufous, S, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brauer, M, Brazo-Sayavera, J, Brenner, H, Brown, CS, Browne, AJ, Brugha, T, Bryazka, D, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, dos Santos, FLC, Barsbay, MC, Calina, D, Campos, LA, Cao, S, Capodici, A, Cardenas, R, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castelpietra, G, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenko, E, Cerin, E, Chadban, SJ, Chadwick, J, Chakraborty, C, Chakraborty, S, Chalek, J, Chan, JSK, Chandika, RM, Chandy, S, Charan, J, Chaudhary, AA, Chaurasia, A, Chen, A-T, Chen, H, Chen, MX, Chen, S, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, DY, Cho, WCS, Choi, D-W, Chong, B, Chong, CL, Chopra, H, Chu, D-T, Chung, E, Chutiyami, M, Clayton, JT, Cogen, RM, Cohen, AJ, Columbus, A, Comfort, H, Conde, J, Connolly, JT, Cooper, EEK, Cortese, S, Cruz-Martins, N, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Dalton, BE, Damiani, G, Dandona, L, Dandona, R, Das, JK, Das, S, Dash, NR, Davletov, K, De la Hoz, FP, De Leo, D, Debopadhaya, S, Delgado-Enciso, I, Denova-Gutierrez, E, Dervenis, N, Desai, HD, Devanbu, VGC, Dewan, SMR, Dhama, K, Dhane, AS, Dhingra, S, da Silva, DD, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Do, THP, Do Prado, CB, Dodangeh, M, Doegah, PT, Dohare, S, Dong, W, D'Oria, M, Doshi, R, Dowou, RK, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dushpanova, A, Dutta, S, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Kalan, ME, Edinur, HA, Efendi, F, Eikemo, TA, Eini, E, Ekundayo, TC, El Arab, RA, El Sayed, I, Elamin, O, Elemam, NM, ElGohary, GMT, Elhadi, M, Elmeligy, OAA, Elmoselhi, AB, Elshaer, M, Elsohaby, I, Eltahir, ME, Emeto, TI, Eshrati, B, Eslami, M, Esmaeili, Z, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faro, A, Fasihi, K, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Ferrara, P, Ferreira, N, Firew, BS, Fischer, F, Fitriana, I, Flavel, J, Flor, LS, Folayan, MO, Foley, KM, Fonzo, M, Force, LM, Foschi, M, Freitas, A, Fridayani, NKY, Fukutaki, KG, Furtado, JM, Fux, B, Gaal, PA, Gadanya, MA, Gallus, S, Ganesan, B, Ganiyani, MA, Gautam, RK, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Getacher, L, Getahun, GKA, Gething, PW, Ghadimi, DJ, Ghadirian, F, Ghafarian, S, Ghailan, KY, Ghasemi, M, Dabaghi, GG, Ghazy, RM, Ghoba, S, Gholami, E, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Vajargah, PG, Ghotbi, E, Gil, AU, Gill, TK, Girmay, A, Glasbey, JC, Glushkova, EV, Gnedovskaya, EV, Gobolos, L, Goldust, M, Goleij, P, Golinelli, D, Gopalani, SV, Goulart, AC, Gouravani, M, Goyal, A, Grivna, M, Grosso, G, Guarducci, G, Gubari, MIM, Guicciardi, S, Guimaraes, RA, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, R, Gupta, S, Gupta, VK, Haakenstad, A, Hadi, NR, Haep, N, Hafiz, A, Haghmorad, D, Haile, D, Ali, AH, Ali, HA, Haj-Mirzaian, A, Halboub, ES, Haller, S, Halwani, R, Abdullah, KH, Hamdy, NM, Hamoudi, R, Hanifi, N, Hankey, GJ, Haq, ZA, Haque, MR, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, SMM, Hasanian, M, Hasnain, MS, Hassan, A, Haubold, J, Hay, SI, Hebert, JJ, Hegazi, OE, Heidari, M, Hemmati, M, Henson, CA, Herrera-Serna, BY, Herteliu, C, Heydari, M, Hezam, K, Hidayana, I, Hiraike, Y, Hoan, NQ, Holla, R, Hoogar, P, Horita, N, Hossain, MM, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, C, Huang, J, Hultstrom, M, Hundie, TG, Hunt, AJ, Hushmandi, K, Hussain, J, Hussain, MA, Hussein, NR, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Iftikhar, PM, Ikiroma, AI, Ikwegbue, PC, Ilic, IM, Ilic, MD, Immurana, M, Isa, MA, Islam, MR, Islam, SMS, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iyamu, IO, Jacob, L, Jacobsen, KH, Jafarinia, M, Jahankhani, K, Jahanmehr, N, Jain, N, Jairoun, AA, Mani, DRJ, Jamil, S, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jee, SH, Jeganathan, J, Jiang, H, Jokar, M, Jonas, JB, Joseph, N, Joshua, CE, Jurisson, M, Vaishali, K, Kabir, A, Kabir, Z, Kadashetti, V, Kalankesh, LR, Kalra, S, Kamath, A, Kamath, R, Kamireddy, A, Kanaan, M, Kanchan, T, Kanmiki, EW, Kanmodi, KK, Kansal, SK, Karim, A, Karkhah, S, Kashoo, FZ, Kasraei, H, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kaur, H, Kayode, GA, Kazemi, F, Kazemian, S, Kebede, F, Kendal, ES, Kesse-Guyot, E, Khademvatan, S, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, F, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Kashani, HRK, Kheirallah, KA, Khokhar, M, Khormali, M, Khorrami, Z, Khosla, AA, Khosravi, M, Khosrowjerdi, M, Khubchandani, J, Kifle, ZD, Kim, G, Kim, JS, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Kochhar, S, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Krishan, K, Krishna, V, Krishnamoorthy, V, Bicer, BK, Kuddus, MA, Kuddus, M, Kuitunen, I, Kujan, O, Kulimbet, M, Kulkarni, V, Kumar, GA, Kumar, H, Kumar, N, Kumar, R, Kumar, V, Kundu, A, Kusuma, D, Kyei-Arthur, F, Kyto, V, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lalloo, R, Lallukka, T, Lam, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Levesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Lawlor, HR, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Le, TDT, Leasher, JL, Lee, DW, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, SWH, Lee, YH, Leigh, J, Leong, E, Li, M-C, Libra, M, Ligade, VS, Lim, L-L, Lim, SS, Limenh, LW, Lindholm, D, Lindstedt, PA, Listl, S, Liu, G, Liu, S, Liu, X, Llanaj, E, Lopez-Bueno, R, Lopez-Gil, JF, Loreche, AM, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, Lusk, JB, Lv, L, Amin, HIM, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madureira-Carvalho, AM, Abd El Razek, HM, Maghazachi, AA, Prasad, DRM, Mahalleh, M, Mahasha, PW, Mahmoud, MA, Mahmoudi, E, Mahmoudvand, G, Makama, M, Rad, EM, Malhotra, K, Malik, AA, Malta, DC, Manla, Y, Mansour, A, Mansouri, MH, Mansouri, P, Mansouri, V, Mansourian, M, Mansournia, MA, Marasini, BP, Marateb, HR, Maravilla, JC, Mardi, P, Marjani, A, Moghadam, HM, Arnedo, CAM, Martinez, G, Martinez-Piedra, R, Martins-Melo, FR, Martorell, M, Marx, W, Marzo, RR, Masoudi, S, Mathangasinghe, Y, Mathioudakis, AG, Mathur, M, Mathur, N, Matozinhos, FP, Mattumpuram, J, Maude, RJ, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, Mckee, M, McKowen, ALW, McPhail, MA, McPhail, SM, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Meto, TM, Melese, EB, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Mhlanga, A, Mhlanga, L, Miazgowski, T, Michalek, IM, de Sa, ACMGN, Miller, TR, Minh, LHN, Mirahmadi, A, Mirijello, A, Mirrakhimov, EM, Mirzaei, R, Mitchell, PB, Mittal, C, Moberg, ME, Fard, AM, Mohajelin, S, Mohamadkhani, A, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad, AM, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Montazeri, F, Ghalibaf, AM, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Najdaghi, S, Ansari, NN, Nangia, V, Swamy, SN, Nargus, S, Davani, DN, Nascimento, BR, Nascimento, GG, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Minh, DNT, Niazi, RK, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, Padukudru, MPA, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Stoian, AMP, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Toroudi, HP, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rad, MR, Radhakrishnan, V, Shahraki, HR, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, MJ, Rahimibarghani, S, Rahman, MMMR, Rahman, M, Rahman, MA, Rahman, T, Rahmani, AM, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Ramasamy, SK, Ramazanu, S, Ramteke, PW, Rana, K, Rana, RK, Ranabhat, CL, Rane, A, Rao, CR, Rao, M, Rasella, D, Rashedi, V, Rashid, AM, Rasouli-Saravani, A, Rastogi, P, Rasul, A, Rathish, D, Babu, GR, Rauniyar, SK, Ravangard, R, Rawaf, DL, Rawaf, S, Raza, RZ, Redwan, EMM, Reifels, L, Reitsma, MB, Remuzzi, G, Rengasamy, KRR, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, N, Rezaei, ZS, Rezaeian, M, Rhee, TG, Rickard, J, Robalik, T, Robinson-Oden, HE, Rocha, HAL, Rodrigues, M, Rodriguez, JAB, Roever, L, Romadlon, DS, Ronfani, L, Rony, MKK, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Russo, M, Saad, AMA, Saber, K, Saber-Ayad, MM, Sabet, CJ, Sabour, S, Sachdev, PS, Saddler, A, Sadee, BA, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Saghafi, A, Sagoe, D, Sahebkar, A, Sahoo, PM, Sajid, MR, Salam, N, Salamati, P, Salami, AA, Saleh, MA, Salehi, L, Salem, MR, Salemcity, AJ, Salimi, S, Kafil, HS, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, 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Abstract: BACKGROUND: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects m
Published: 2024

3. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, 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Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

4. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, 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Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
Published: 2024

5. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

Author: Khanh, BT, Lang, JJ, Compton, K, Xu, R, Acheson, AR, Henrikson, HJ, Kocarnik, JM, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, AA, Abdoli, G, Abdulkadir, HA, Abedi, A, Abegaz, KH, Abidi, H, Aboagye, RG, Abolhassani, H, Absalan, A, Abtew, YD, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Addison, D, Addo, IY, Adegboye, OA, Adesina, MA, Adnan, M, Adnani, QES, Advani, SM, Afrin, S, Afzal, MS, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, R, Ahmad, S, Ahmadi, S, Ahmed, H, Ahmed, LA, Ahmed, MB, Rashid, TA, Aiman, W, Ajami, M, Akalu, GT, Akbarzadeh-Khiavi, M, Aklilu, A, Akonde, M, Akunna, CJ, Al Hamad, H, Alahdab, F, Alanezi, FM, Alanzi, TM, Alessy, SA, Algammal, AM, Al-Hanawi, MK, Alhassan, RK, Ali, BA, Ali, L, Ali, SS, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alqalyoobi, S, Al-Raddadi, RM, Al-Rifai, RHH, Al-Sabah, SK, Al-Tammemi, AB, Altawalah, H, Alvis-Guzman, N, Amare, F, Ameyaw, EK, Dehkordi, JJA, Amirzade-Iranaq, MH, Amu, H, Amusa, GA, Ancuceanu, R, Anderson, JA, Animut, YA, Anoushiravani, A, Anoushirvani, AA, Ansari-Moghaddam, A, Ansha, MG, Antony, B, Antwi, MH, Anwar, SL, Anwer, R, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, AM, Ariffin, H, Aripov, T, Arshad, M, Al, A, Arulappan, J, Aruleba, RT, Aryannejad, A, Asaad, M, Asemahagn, MA, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, SS, Null, MMWA, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Awoke, MA, Awoke, T, Quintanilla, BPA, Ayana, TM, Ayen, SS, Azadi, D, Null, SA, Azami-Aghdash, S, Azanaw, MM, Azangou-Khyavy, M, Jafari, AA, Azizi, H, Azzam, AYY, Babajani, A, Badar, M, Badiye, AD, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, AA, Baker, JL, Bakhtiari, A, Bakshi, RK, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, NZ, Bashiri, A, Basu, S, Batiha, A-MM, Begum, A, Bekele, AB, Belay, AS, Belete, MA, Belgaumi, UI, Bell, AW, Belo, L, Benzian, H, Berhie, AY, Bermudez, ANC, Bernabe, E, Bhagavathula, AS, Bhala, N, Bhandari, BB, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhojaraja, VS, Bhuyan, SS, Bibi, S, Bilchut, AH, Bintoro, BS, Biondi, A, Birega, MGB, Birhan, HE, Bjorge, T, Blyuss, O, Bodicha, BBA, Bolla, SR, Boloor, A, Bosetti, C, Braithwaite, D, Brauer, M, Brenner, H, Briko, AN, Briko, NI, Buchanan, CM, Bulamu, NB, Bustamante-Teixeira, MT, Butt, MH, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Camera, LA, Cao, C, Cao, Y, Carreras, G, Carvalho, M, Cembranel, F, Cerin, E, Chakraborty, PA, Charalampous, P, Chattu, VK, Chimed-Ochir, O, Chirinos-Caceres, JL, Cho, DY, Cho, WCS, Christopher, DJ, Chu, D-T, Chukwu, IS, Cohen, AJ, Conde, J, Cortas, S, Costa, VM, Cruz-Martins, N, Culbreth, GT, Dadras, O, Dagnaw, FT, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Danielewicz, A, An, TMD, Soltani, RDC, Darwesh, AM, Das, S, Davitoiu, DV, Esmaeili, ED, De la Hoz, FP, Debela, SA, Dehghan, A, Demisse, B, Demisse, FW, DenovaGutiA, E, Derakhshani, A, Molla, MD, Dereje, D, Deribe, KS, Desai, R, Desalegn, MD, Dessalegn, FN, Dessalegni, SAA, Dessie, G, Desta, AA, Dewan, SMR, Dharmaratne, SD, Dhimal, M, Dianatinasab, M, Diao, N, Diaz, D, Digesa, LE, Dixit, SG, Doaei, S, Linh, PD, Doku, PN, Dongarwar, D, dos Santos, WM, Driscoll, TR, Dsouza, HL, Durojaiye, OC, Edalati, S, Eghbalian, F, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, TC, Ekwueme, DU, El Tantawi, M, Elbahnasawy, MA, Elbarazi, I, Elghazaly, H, Elhadi, M, El-Huneidi, W, Emamian, MH, Bain, LE, Enyew, DB, Erkhembayar, R, Eshetu, T, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Etaee, F, Etemadimanesh, A, Eyayu, T, Ezeonwumelu, IJ, Ezzikouri, S, Fagbamigbe, AF, Fahimi, S, Fakhradiyev, IR, Faraon, EJA, Fares, J, Farmany, A, Farooque, U, Farrokhpour, H, Fasanmi, AO, Fatehizadeh, A, Fatima, W, Fattahi, H, Fekadu, G, Feleke, BE, Ferrari, AA, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Foroumadi, R, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gaipov, A, Galehdar, N, Gallus, S, Garg, T, Fonseca, MG, Gebremariam, YH, Gebremeskel, TG, Gebremichael, MA, Geda, YF, Gela, YY, Gemeda, BNB, Getachew, M, Getachew, ME, Ghaffari, K, Ghafourifard, M, Ghamari, S-H, Nour, MG, Ghassemi, F, Ghimire, A, Ghith, N, Gholamalizadeh, M, Navashenaq, JG, Ghozy, S, Gilani, SA, Gill, PS, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Godos, J, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Golitaleb, M, Gorini, G, Goulart, BNG, Grosso, G, Guadie, HA, Gubari, MIM, Gudayu, TW, Guerra, MR, Gunawardane, DA, Gupta, B, Gupta, S, Gupta, V, Gupta, VK, Gurara, MK, Guta, A, Habibzadeh, P, Avval, AH, Hafezi-Nejad, N, Ali, AH, Haj-Mirzaian, A, Halboub, ES, Halimi, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Hariri, S, Harlianto, N, Haro, JM, Hartono, RK, Hasaballah, A, Hasan, SMM, Hasani, H, Hashemi, SM, Hassan, AM, Hassanipour, S, Hayat, K, Heidari, G, Heidari, M, Heidarymeybodi, Z, Herrera-Serna, BY, Herteliu, C, Hezam, K, Hiraike, Y, Hlongwa, MM, Holla, R, Holm, M, Horita, N, Hoseini, M, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Hugo, FN, Humayun, A, Hussain, S, Hussein, NR, Hwang, B-F, Ibitoye, SE, Iftikhar, PM, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Immurana, M, Innos, K, Iranpour, P, Irham, LM, Islam, MS, Islam, RM, Islami, F, Ismail, NE, Isola, G, Iwagami, M, Merin, LJ, Jaiswal, A, Jakovljevic, M, Jalili, M, Jalilian, S, Jamshidi, E, Jang, S-I, Jani, CT, Javaheri, T, Jayarajah, UU, Jayaram, S, Jazayeri, SB, Jebai, R, Jemal, B, Jeong, W, Jha, RP, Jindal, HA, John-Akinola, YO, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jarisson, M, Kabir, A, Kacimi, SEO, Kadashetti, V, Kahe, F, Kakodkar, PV, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamangar, F, Kamath, A, Kanchan, T, Kandaswamy, E, Kandel, H, Kang, H, Kanno, GG, Kapoor, N, Kar, SS, Karanth, SD, Karaye, IM, Karch, A, Karimi, A, Kassa, BG, Katoto, PDMC, Kauppila, JH, Kaur, H, Kebede, AG, Keikavoosi-Arani, L, Kejela, GG, Bohan, PMK, Keramati, M, Keykhaei, M, Khajuria, H, Khan, A, Khan, AAK, Khan, EA, Khan, G, Khan, MN, Ab Khan, M, Khanali, J, Khatab, K, Khatatbeh, MM, Khatib, MN, Khayamzadeh, M, Kashani, HRK, Tabari, MAK, Khezeli, M, Khodadost, M, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Klugar, M, Klugarova, J, Kolahi, A-A, Kolkhir, P, Kompani, F, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Bicer, BK, Kugbey, N, Kulimbet, M, Kumar, A, Kumar, GA, Kumar, N, Kurmi, OP, Kuttikkattu, A, La Vecchia, C, Lahiri, A, Lal, DK, Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YY, Lee, YH, Legesse, SM, Leigh, J, Leong, E, Li, M-C, Lim, SS, Liu, G, Liu, J, Lo, C-H, Lohiya, A, Lopukhov, PD, Lorenzovici, L, Lotfi, M, Loureiro, JA, Lunevicius, R, Madadizadeh, F, Mafi, AR, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, RA, Majeed, A, Majidpoor, J, Makki, A, Makris, KC, Rad, EM, Malekpour, M-R, Malekzadeh, R, Malik, AA, Mallhi, TH, Mallya, SD, Mamun, MA, Manda, AL, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Mantovani, LG, Martini, S, Martorell, M, Masoudi, S, Masoumi, SZ, Matei, CN, Mathews, E, Mathur, MR, Mathur, V, McKee, M, Meena, JK, Mehmood, K, Nasab, EM, Mehrotra, R, Melese, A, Mendoza, W, Menezes, RG, Mengesha, SD, Mensah, LG, Mentis, A-FA, Mera-Mamian, AYM, Meretoja, TJ, Merid, MW, Mersha, AG, Meselu, BT, Meshkat, M, Mestrovic, T, Jonasson, JM, Miazgowski, T, Michalek, IM, Mijena, GFW, Miller, TR, Mir, SA, Mirinezhad, SK, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Mirzaei, HR, Misganaw, AS, Misra, S, AbdulmuhsinMohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, AH, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Al Montasir, A, Montazeri, F, Montero, A, Moosavi, MA, Moradi, A, Moradi, Y, Sarabi, MM, Moraga, P, Morawska, L, Morrison, SD, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, SM, Isfahani, HM, Khaneghah, AM, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, SB, Murillo-Zamora, E, Musa, J, Nabhan, AF, Nagarajan, AJ, Nagaraju, SP, Nagel, G, Naghipour, M, Naimzada, MD, Nair, TS, Naqvi, AA, Swamy, SN, Narayana, AI, Nassereldine, H, Natto, ZS, Nayak, BP, Ndejjo, R, Nduaguba, SO, Negash, WW, Nejadghaderi, SA, Nejati, K, Kandel, SN, Huy, VNN, Niazi, RK, Noor, NM, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odukoya, OO, Oghenetega, OB, Ogunsakin, RE, Oguntade, AS, Oh, I-H, Okati-Aliabad, H, Okekunle, AP, Olagunju, AT, Olagunju, TO, Olakunde, BO, Olufadewa, II, Omer, E, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Otstavnov, SS, Oulhaj, A, Oumer, B, Owopetu, OF, Oyinloye, BE, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E-K, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Toroudi, HP, Peng, M, Pereira, J, Pereira, RB, Perna, S, Perumalsamy, N, Pestell, RG, Pezzani, R, Piccinelli, C, Pillay, JD, Piracha, ZZ, Pischon, T, Postma, MJ, Langroudi, AP, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, MMF, Syed, ZQ, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, MO, Rahman, M, Rahman, MA, Rahmani, AM, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rashedi, S, Rashidi, A, Rashidi, M-M, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, MS, Rehman, AU, Rehman, IU, Reitsma, MB, Renzaho, AMN, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, TJ, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, GM, Manjula, S, Saber-Ayad, MM, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, MR, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, MR, Salari, H, Salehi, S, Salem, MR, Salimzadeh, H, Samodra, YL, Samy, AM, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, MM, Saqib, MAN, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, IJC, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, SG, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, PA, Shahabi, S, Shahid, I, Shahrbaf, MA, Shahsavari, HR, Shaikh, MA, Shaka, MF, Shaker, E, Shannawaz, M, Sharew, MMS, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, BB, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, RA, Sheikhy, A, Shepherd, PR, Shetty, A, Shetty, JK, Shetty, RS, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, KM, Shivalli, S, Shivarov, V, Shobeiri, P, Varniab, ZS, Shorofi, SA, Shrestha, S, Sibhat, MM, Malleshappa, SS, Sidemo, NB, Silva, DAS, Silva, LMLR, Julian, GS, Silvestris, N, Simegn, W, Singh, AD, Singh, A, Singh, G, Singh, H, Singh, JA, Singh, JK, Singh, P, Singh, S, Sinha, DN, Sinke, AH, Siraj, MS, Sitas, F, Siwal, SS, Skryabin, VY, Skryabina, AA, Socea, B, Soeberg, MJ, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, MS, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, MB, Suk, R, Suleman, M, Abdulkader, RS, Sultana, S, Sur, D, Szacska, M, Tabaeian, SP, Tabares-Seisdedos, R, Tabatabaei, SM, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Soodejani, MT, Takahashi, K, Talaat, IM, Tampa, M, Tan, K-K, Tat, NY, Tat, VY, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, FH, Thapar, R, Thavamani, A, Chandrasekar, VT, Thomas, N, Thomas, NK, Ticoalu, JHV, Tiyuri, A, Tollosa, DN, Topor-Madry, R, Touvier, M, Tovani-Palone, MR, Traini, E, Mai, TNT, Tripathy, JP, Ukke, GG, Ullah, 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Abstract: BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [2
Published: 2022

6. Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019

Author: Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, Ivers, RQ, Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, and Ivers, RQ
Abstract: BACKGROUND: Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. METHODS: Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. FINDINGS: In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31·1 million DALYs (of which 16·2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34·4% (from 17·5 to 11·5 per 100 000) for transport injuries, and by 47·7% (from 15·9 to 8·3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80·5% to 42 774 for transport injuries and by 39·4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19
Published: 2022

7. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author: Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Ababneh, E, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Abbasi-Kangevari, M, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Abbastabar, H, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Abd-Elsalam, SM, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Abdoli, A, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Abedi, A, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Abidi, H, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Abolhassani, H, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Adedeji, IA, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Adnani, QES, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Advani, SM, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Afzal, MS, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Aghaali, M, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Ahinkorah, BO, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ahmad, S, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ahmad, T, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Ahmadi, A, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Ahmadi, S, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Ahmed Rashid, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Ahmed Salih, Y, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Akalu, GT, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Aklilu, A, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Akram, T, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Akunna, CJ, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Al Hamad, H, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Alahdab, F, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Al-Aly, Z, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, 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Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Ansari, F, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Ansari-Moghaddam, A, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Antwi, MH, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Anvari, D, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Anyasodor, AE, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Aqeel, M, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Arabloo, J, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Arab-Zozani, M, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Aremu, O, Murray, CJL, Force, LM, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Ababneh, E, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Abbasi-Kangevari, M, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Abbastabar, H, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Abd-Elsalam, SM, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Abdoli, A, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Abedi, A, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Abidi, H, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Abolhassani, H, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Adedeji, IA, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Adnani, QES, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Advani, SM, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Afzal, MS, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Aghaali, M, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Ahinkorah, BO, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ahmad, S, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ahmad, T, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Ahmadi, A, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Ahmadi, S, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Ahmed Rashid, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Ahmed Salih, Y, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Akalu, GT, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Aklilu, A, Lami, FH, 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Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Alipour, V, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Aljunid, SM, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Alkhayyat, M, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Almasi-Hashiani, A, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Almasri, NA, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Al-Maweri, SAA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Almustanyir, S, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Alonso, N, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Alvis-Guzman, N, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Amu, H, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Anbesu, EW, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Ancuceanu, R, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Ansari, F, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Ansari-Moghaddam, A, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Antwi, MH, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Anvari, D, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Anyasodor, AE, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Aqeel, M, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Arabloo, J, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Arab-Zozani, M, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Aremu, O, Murray, CJL, Force, LM, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, and Bhattacharyya, K
Abstract: Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low
Published: 2022

8. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019:A Systematic Analysis for the Global Burden of Disease Study 2019

Author: Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, Das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, Force, LM, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Kocarnik, J, Compton, K, Dean, F, Fu, W, Gaw, B, Harvey, J, Henrikson, H, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, S, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, I, Adnani, Q, Advani, S, Afzal, M, Aghaali, M, Ahinkorah, B, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, G, Aklilu, A, Akram, T, Akunna, C, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, S, Alkhayyat, M, Almasi-Hashiani, A, Almasri, N, Al-Maweri, S, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, E, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, M, Anvari, D, Anyasodor, A, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, A, Ayala Quintanilla, B, Ayenew, T, Azab, M, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, A, Badiye, A, Bahadory, S, Baig, A, Baker, J, Balakrishnan, S, Banach, M, Barnighausen, T, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, U, Bezabhe, W, Bezabih, Y, Bhagat, D, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, V, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjorge, T, Bleyer, A, Blyuss, O, Bolarinwa, O, Bolla, S, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, M, Butt, N, Butt, Z, Caetano Dos Santos, F, Cao, Y, Carreras, G, Catala-Lopez, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, R, Chattu, S, Chattu, V, Chaturvedi, P, Chimed-Ochir, O, Cho, D, Christopher, D, Chu, D, Chung, M, Conde, J, Cortes, S, Cortesi, P, Costa, V, Cunha, A, Dadras, O, Dagnew, A, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Darwesh, A, Das Neves, J, De La Hoz, F, Demis, A, Denova-Gutierrez, E, Dhamnetiya, D, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, H, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, F, Driscoll, T, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, H, Elhadi, M, El-Jaafary, S, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, E, Fares, J, Farzadfar, F, Feroze, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, J, Foroutan, M, Fukumoto, T, Gaal, P, Gad, M, Gadanya, M, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, S, Ginindza, T, Gizaw, A, Glasbey, J, Golechha, M, Goleij, P, Gomez, R, Gopalani, S, Gorini, G, Goudarzi, H, Grosso, G, Gubari, M, Guerra, M, Guha, A, Gunasekera, D, Gupta, B, Gupta, V, Gutierrez, R, Hafezi-Nejad, N, Haider, M, Haj-Mirzaian, A, Halwani, R, Hamadeh, R, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, N, Haro, J, Hasaballah, A, Hassanipour, S, Hay, R, Hay, S, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, B, Herteliu, C, Hezam, K, Holla, R, Hossain, M, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, F, Hussain, R, Hussein, N, Hwang, B, 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Y., Mohammadi M., Mohammadi S.M., Mohammadian-Hafshejani A., Mohammed S., Moka N., Mokdad A.H., Molokhia M., Monasta L., Moni M.A., Moosavi M.A., Moradi Y., Moraga P., Morgado-Da-Costa J., Morrison S.D., Mosapour A., Mubarik S., Mwanri L., Nagarajan A.J., Nagaraju S.P., Nagata C., Naimzada M.D., Nangia V., Naqvi A.A., Narasimha Swamy S., Ndejjo R., Nduaguba S.O., Negoi I., Negru S.M., Neupane Kandel S., Nguyen C.T., Nguyen H.L.T., Niazi R.K., Nnaji C.A., Noor N.M., Nunez-Samudio V., Nzoputam C.I., Oancea B., Ochir C., Odukoya O.O., Ogbo F.A., Olagunju A.T., Olakunde B.O., Omar E., Omar Bali A.O., Omonisi A.E.E., Ong S., Onwujekwe O.E., Orru H., Ortega-Altamirano D.V., Otstavnov N., Otstavnov S.S., Owolabi M.O., P A M., Padubidri J.R., Pakshir K., Pana A., Panagiotakos D., Panda-Jonas S., Pardhan S., Park E.-C., Park E.-K., Pashazadeh Kan F., Patel H.K., Patel J.R., Pati S., Pattanshetty S.M., Paudel U., Pereira D.M., Pereira R.B., Perianayagam A., Pillay J.D., Pirouzpanah S., Pishgar F., Podder I., Postma M.J., Pourjafar H., Prashant A., Preotescu L., Rabiee M., Rabiee N., Radfar A., Radhakrishnan R.A., Radhakrishnan V., Rafiee A., Rahim F., Rahimzadeh S., Rahman M., Rahman M.A., Rahmani A.M., Rajai N., Rajesh A., Rakovac I., Ram P., Ramezanzadeh K., Ranabhat K., Ranasinghe P., Rao C.R., Rao S.J., Rawassizadeh R., Razeghinia M.S., Renzaho A.M.N., Rezaei N., Rezapour A., Roberts T.J., Rodriguez J.A.B., Rohloff P., Romoli M., Ronfani L., Roshandel G., Rwegerera G.M., Manjula S., Sabour S., Saddik B., Saeed U., Sahebkar A., Sahoo H., Salehi S., Salem M.R., Salimzadeh H., Samaei M., Samy A.M., Sanabria J., Sankararaman S., Santric-Milicevic M.M., Sardiwalla Y., Sarveazad A., Sathian B., Sawhney M., Saylan M., Schneider I.J.J., Sekerija M., Seylani A., Shafaat O., Shaghaghi Z., Shaikh M.A., Shamsoddin E., Shannawaz M., Sharma R., Sheikh A., Sheikhbahaei S., Shetty A., Shetty J.K., Shetty P.H., Shibuya K., Shirkoohi R., Shivakumar K.M., Shivarov V., Siabani S., Siddappa Malleshappa S.K., Silva D.A.S., Singh J.A., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soeberg M.J., Sofi-Mahmudi A., Sotoudeh H., Steiropoulos P., Straif K., Subedi R., Sufiyan M.B., Sultan I., Sultana S., Sur D., Szerencses V., Szocska M., Tabares-Seisdedos R., Tabuchi T., Tadbiri H., Taherkhani A., Takahashi K., Talaat I.M., Tan K.-K., Tat V.Y., Tedla B.A.A., Tefera Y.G., Tehrani-Banihashemi A., Temsah M., Tesfay F.H., Tessema G.A., Thapar R., Thavamani A., Thoguluva Chandrasekar V., Thomas N., Tohidinik H.R., Touvier M., Tovani-Palone M.R., Traini E., Tran B.X., Tran K.B., Tran M.T.N., Tripathy J.P., Tusa B.S., Ullah I., Ullah S., Umapathi K.K., Unnikrishnan B., Upadhyay E., Vacante M., Vaezi M., Valadan Tahbaz S., Velazquez D.Z., Veroux M., Violante F.S., Vlassov V., Vo B., Volovici V., Vu G.T., Waheed Y., Wamai R.G., Ward P., Wen Y.F., Westerman R., Winkler A.S., Yadav L., Yahyazadeh Jabbari S.H., Yang L., Yaya S., Yazie T.S.Y., Yeshaw Y., Yonemoto N., Younis M.Z., Yousefi Z., Yu C., Yuce D., Yunusa I., Zadnik V., Zare F., Zastrozhin M.S., Zastrozhina A., Zhang J., Zhong C., Zhou L., Zhu C., Ziapour A., Zimmermann I.R., Fitzmaurice C., Murray C.J.L., Force L.M., Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, Kuwait University (Kuwait), National University of Malaysia (Malasia), Alexander von Humboldt Foundation, Federal Ministry of Education & Research (Alemania), NIH - National Cancer Institute (NCI) (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Novo Nordisk Foundation, National Health and Medical Research Council (Australia), Jazan University (Arabia Saudí), Romanian National Authority for Scientific Research and Innovation, Ministry of Education (Brasil), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), NHS - Research Scotland (Reino Unido), Medical Research Council (Reino Unido), Scottish Government (Reino Unido), Jatiya Kabi Kazi Nazrul Islam University (Bangladesh), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), King College London, National Health Service (Reino Unido), Government of the Russian Federation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), National Council for Scientific and Technological Development (Brasil), Cancer Prevention and Research Institute of Texas (Estados Unidos), Fundação para a Ciência e Tecnologia (Portugal), Neurosurgery, Kocarnik, J. 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L., Cao, Y., Carreras, G., Catala-Lopez, F., Cembranel, F., Cerin, E., Cernigliaro, A., Chakinala, R. C., Chattu, S. K., Chattu, V. K., Chaturvedi, P., Chimed-Ochir, O., Cho, D. Y., Christopher, D. J., Chu, D. -T., Chung, M. T., Conde, J., Cortes, S., Cortesi, P. A., Costa, V. M., Cunha, A. R., Dadras, O., Dagnew, A. B., Dahlawi, S. M. A., Dai, X., Dandona, L., Dandona, R., Darwesh, A. M., Das Neves, J., De La Hoz, F. P., Demis, A. B., Denova-Gutierrez, E., Dhamnetiya, D., Dhimal, M. L., Dhimal, M., Dianatinasab, M., Diaz, D., Djalalinia, S., Do, H. P., Doaei, S., Dorostkar, F., Dos Santos Figueiredo, F. W., Driscoll, T. R., Ebrahimi, H., Eftekharzadeh, S., El Tantawi, M., El-Abid, H., Elbarazi, I., Elhabashy, H. R., Elhadi, M., El-Jaafary, S. I., Eshrati, B., Eskandarieh, S., Esmaeilzadeh, F., Etemadi, A., Ezzikouri, S., Faisaluddin, M., Faraon, E. J. A., Fares, J., Farzadfar, F., Feroze, A. H., Ferrero, S., Ferro Desideri, L., Filip, I., Fischer, F., Fisher, J. L., Foroutan, M., Fukumoto, T., Gaal, P. A., Gad, M. M., Gadanya, M. A., Gallus, S., Gaspar Fonseca, M., Getachew Obsa, A., Ghafourifard, M., Ghashghaee, A., Ghith, N., Gholamalizadeh, M., Gilani, S. A., Ginindza, T. G., Gizaw, A. T. T., Glasbey, J. C., Golechha, M., Goleij, P., Gomez, R. S., Gopalani, S. V., Gorini, G., Goudarzi, H., Grosso, G., Gubari, M. I. M., Guerra, M. R., Guha, A., Gunasekera, D. S., Gupta, B., Gupta, V. B., Gupta, V. K., Gutierrez, R. A., Hafezi-Nejad, N., Haider, M. R., Haj-Mirzaian, A., Halwani, R., Hamadeh, R. R., Hameed, S., Hamidi, S., Hanif, A., Haque, S., Harlianto, N. I., Haro, J. M., Hasaballah, A. I., Hassanipour, S., Hay, R. J., Hay, S. I., Hayat, K., Heidari, G., Heidari, M., Herrera-Serna, B. Y., Herteliu, C., Hezam, K., Holla, R., Hossain, M. M., Hossain, M. B. H., Hosseini, M. -S., Hosseini, M., Hosseinzadeh, M., Hostiuc, M., Hostiuc, S., Househ, M., Hsairi, M., Huang, J., Hugo, F. N., Hussain, R., Hussein, N. 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A., Narasimha Swamy, S., Ndejjo, R., Nduaguba, S. O., Negoi, I., Negru, S. M., Neupane Kandel, S., Nguyen, C. T., Nguyen, H. L. T., Niazi, R. K., Nnaji, C. A., Noor, N. M., Nunez-Samudio, V., Nzoputam, C. I., Oancea, B., Ochir, C., Odukoya, O. O., Ogbo, F. A., Olagunju, A. T., Olakunde, B. O., Omar, E., Omar Bali, A., Omonisi, A. E. E., Ong, S., Onwujekwe, O. E., Orru, H., Ortega-Altamirano, D. V., Otstavnov, N., Otstavnov, S. S., Owolabi, M. O., P A, M., Padubidri, J. R., Pakshir, K., Pana, A., Panagiotakos, D., Panda-Jonas, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Patel, H. K., Patel, J. R., Pati, S., Pattanshetty, S. M., Paudel, U., Pereira, D. M., Pereira, R. B., Perianayagam, A., Pillay, J. D., Pirouzpanah, S., Pishgar, F., Podder, I., Postma, M. J., Pourjafar, H., Prashant, A., Preotescu, L., Rabiee, M., Rabiee, N., Radfar, A., Radhakrishnan, R. A., Radhakrishnan, V., Rafiee, A., Rahim, F., Rahimzadeh, S., Rahman, M., Rahman, M. A., Rahmani, A. M., Rajai, N., Rajesh, A., Rakovac, I., Ram, P., Ramezanzadeh, K., Ranabhat, K., Ranasinghe, P., Rao, C. R., Rao, S. J., Rawassizadeh, R., Razeghinia, M. S., Renzaho, A. M. N., Rezaei, N., Rezapour, A., Roberts, T. J., Rodriguez, J. A. B., Rohloff, P., Romoli, M., Ronfani, L., Roshandel, G., Rwegerera, G. M., Manjula, S., Sabour, S., Saddik, B., Saeed, U., Sahebkar, A., Sahoo, H., Salehi, S., Salem, M. R., Salimzadeh, H., Samaei, M., Samy, A. M., Sanabria, J., Sankararaman, S., Santric-Milicevic, M. M., Sardiwalla, Y., Sarveazad, A., Sathian, B., Sawhney, M., Saylan, M., Schneider, I. J. C., Sekerija, M., Seylani, A., Shafaat, O., Shaghaghi, Z., Shaikh, M. A., Shamsoddin, E., Shannawaz, M., Sharma, R., Sheikh, A., Sheikhbahaei, S., Shetty, A., Shetty, J. K., Shetty, P. H., Shibuya, K., Shirkoohi, R., Shivakumar, K. M., Shivarov, V., Siabani, S., Siddappa Malleshappa, S. K., Silva, D. A. S., Singh, J. A., Sintayehu, Y., Skryabin, V. Y., Skryabina, A. A., Soeberg, M. 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Z., Yousefi, Z., Yu, C., Yuce, D., Yunusa, I., Zadnik, V., Zare, F., Zastrozhin, M. S., Zastrozhina, A., Zhang, J., Zhong, C., Zhou, L., Zhu, C., Ziapour, A., Zimmermann, I. R., Fitzmaurice, C., Murray, C. J. L., and Force, L. M.
Subjects: Cancer Research, GBD, 195 COUNTRIES, Global Health, 1117 Public Health and Health Services, Global Burden of Disease, SDG 3 - Good Health and Well-being, WORLDWIDE, Risk Factors, Neoplasms, SURVEILLANCE, SUPPORT, Global Burden of Disease 2019 Cancer Collaboration, Prevalence, Online First, cancer, Humans, 1112 Oncology and Carcinogenesis, public health, cancer, burden of diseases, PROGRESS, Original Investigation, Global burden, Science & Technology, CHALLENGES, Research, Incidence, Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762 [VDP], COVID-19, 1112 Oncology and Carcinogenesis, 1117 Public Health and Health Services, Disability-Adjusted Life Years, mortality, STATISTICS, Oncology, Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019 A Systematic Analysis for the Global Burden of Disease Study 2019, HEALTH-CARE, TERRITORIES, Quality-Adjusted Life Years, Life Sciences & Biomedicine, Comments
Abstract: Key Points Question What was the burden of cancer globally and across Sociodemographic Index (SDI) groupings in 2019, and how has incidence, morbidity, and mortality changed since 2010? Findings In this systematic analysis, there were 23.6 million new global cancer cases in 2019 (17.2 million when excluding those with nonmelanoma skin cancer), 10.0 million cancer deaths, and an estimated 250 million disability-adjusted life years estimated to be due to cancer; since 2010, these represent increases of 26.3%, 20.9%, and 16.0%, respectively. Absolute cancer burden increased in all SDI quintiles since 2010, but the largest percentage increases occurred in the low and low-middle SDI quintiles. Meanings The study results suggest that increased cancer prevention and control efforts are needed to equitably address the evolving and increasing burden of cancer across the SDI spectrum., Importance The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. Conclusions and Relevance The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world., The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 examines cancer burden and trends globally for 204 countries and territories and by Socio-demographic Index quintiles from 2010 to 2019.
Published: 2022
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9. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author: Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, Shariful, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, 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Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, Force, LM, Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, Shariful, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, and Force, LM
Abstract: Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low
Published: 2021

10. Current use and acceptability of novel diagnostic tests for active tuberculosis: A worldwide survey|Uso atual e aceitabilidade de novos testes diagnósticos para tuberculose ativa: Um inquérito mundial

Author: Amicosante, M, D'Ambrosio, L, Munoz, M, Mello, Fcq, Tebruegge, M, Chegou, Nn, Seghrouchni, F, Centis, R, Goletti, D, Bothamley, G, Migliori, Gb, Al-Hattami, Aam, Kebede, A, Rendon, A, Garcia-Basteiro, Al, Abdulmumuni, As, Nota, A, Pace-Asciak, A, Loxton, A, Bhowmik, A, Catanzaro, A, Worku, A, Kabeer, Bsa, Savic, B, Nselebete, Bb, Montesano, C, Montagnani, C, Mammina, C, Nkenfou, C, Kvasnovsky, C, Braz, C, Blazquez-Gamero, D, Cirillo, Dm, Huluka, Dk, Handayani, D, Papaventsis, D, Palmero, D, Catanzaro, D, Chanda, D, Gurbanova, E, Sobh, E, Gebremariam, Fm, Pradel, Fk, Brindicci, G, Sotgiu, G, De Iaco, G, Kahenya, G, Nwankwo, G, Hoffmann, H, Mutunzi, H, Kenechukwu, I, Pavic, I, Mukeba, J, Wambugu, J, Abdulsemed, Ka, Ukwaja, Kn, Fattorini, L, Guglielmetti, L, Zammarchi, L, Anibarro, L, Zijenah, Ls, Lipman, M, Ivanovska, M, Nikolova, M, Joya, Mc, Bonnet, M, Chisale, M, Jachym, Mf, Elmi, M, Gadanya, Ma, Getahun, M, Veziris, N, Hanson-Nortey, Nn, Nwankwo, Ono, Del Monte, P, Fourati, R, Laniado-Laborin, R, Lodha, R, Wong, R, Bhebhe, R, de la Tour, R, Ferreira, Rt, Boy, S, Eyanu, S, Singh, S, Tafaj, S, Joosten, Sa, Callens, S, Moyo, S, Tao, Tm, Gebremariam, Th, Meshak, Tp, Perez-Porcuna, T, Vasankari, T, Rolla, Vc, Singh, V, Ratageri, Vh, Milanov, V, Rosati, Y, and Fuentes-Alcala, Z
Subjects: Adult, Male, Attitude of Health Personnel, Female, Global Health, Humans, Interviews as Topic, Middle Aged, Reagent Kits, Diagnostic, Sensitivity and Specificity, Tuberculosis, Young Adult, Mycobacterium tuberculosis, Settore MED/04, Reagent Kits, Diagnostic
Published: 2017

11. Enviromental Sanitation and National Development

Author: Bichi, AA, Adamu, A, Bichi, MA, and Gadanya, MA
Abstract: A descriptive cross-sectional study was conducted in Sabon Gari Local Government Area of Kaduna state to determine the level of environmental sanitation, and its effects on productivity as measured by school absenteeism and work days lost. The study used a pre-tested structured questionnaire to determine housing waste disposal practices. This was coupled with observation by researchers as regards proximity to open refuse site and open sewers, and association of that with productivity and development. The mean number of work days lost among those most proximal to sewers and open refuse dump was 9.87±2.31 compared to those 4.56±1.16; this difference is statistically significant (p < 0.05).Environmental sanitation has significant effect on health and productivity of people, as measured by school absenteeism by student, and days of works lost. This gives credence to the immediate need to address environmental sanitation in our country, with a view to foster national development.Keywords: Environment, sanitation, absenteeism, works days, productivity.
Published: 2013

12. Knowledge, attitude, and practice of breast self-examination among female nurses in Aminu Kano teaching hospital, Kano, Nigeria

Author: Yakubu, AA, primary, Gadanya, MA, additional, and Sheshe, AA, additional
Published: 2014
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13. HPV vaccine hesitancy among parents and caregivers of adolescents in Northern Nigeria.

Author: Yusuf KK, Olorunsaiye CZ, Gadanya MA, Ouedraogo S, Abdullahi AA, and Salihu HM
Abstract: Background: The recent introduction of the HPV vaccine into Nigeria's routine immunization schedule has brought parental vaccine hesitancy to the forefront. This cross-sectional study, conducted in Kano State, a region with historically low immunization rates, is crucial in assessing the level of parental hesitancy and uncovering its determinants, potentially informing future public health policies., Methods: The participants were a representative sample of parents or caregivers of children aged 9-14 years ( n = 1071) in Kano State and were selected via a multi-stage sampling method. We administered structured questionnaires anchored in the Socio-ecological Model and the Precaution Adoption Process Model. We utilized validated measures to assess intent to vaccinate against HPV and potential key indicators of intent to vaccinate adolescent boys and girls. Multivariate logistic regression analysis was performed to determine predictors of parental HPV vaccine hesitancy., Result: If the HPV vaccine were free or subsidized, about one-third [32.7 %] of parents would choose not to vaccinate their children against the virus. Only 4.2 % had ever heard of HPV, and a mere 5.1 % had heard of the cervical cancer vaccine or HPV vaccine. Compared to those who were aware of the virus, those who had never heard of HPV had higher adjusted odds of vaccine hesitancy [OR: 2.86, 95 %CI: 1.28-6.40]. Some of the top reasons for parental hesitancy were their concerns about the safety of the vaccine and the lack of doctors' recommendations., Conclusion: The study revealed that parental hesitancy is a significant barrier to HPV uptake in Kano State. There is an urgent need for a multi-faceted HPV knowledge enhancement approach focusing on elevating parental awareness about the HPV vaccine and, particularly, its relationship to cervical cancer prevention., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Korede Yusuf reports financial support was provided by Merck Sharp & Dohme LLC. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)
Published: 2024
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14. EFFECT OF ELECTRONIC SHORT MESSAGE SERVICE REMINDERS ON MEDICATION ADHERENCE AMONG HYPERTENSIVE PATIENTS IN KATSINA STATE: A QUASIEXPERIMENTAL STUDY.

Author: Aminu L, Abdullahi SB, Olorukooba AA, Hamza KL, Usman B, Abdulkadir A, Abba SK, Yahaya SS, Nass NS, Amadu L, Shuaibu ZB, Belgore S, Iliyasu H, Umar UM, Jibril BM, Bashir SS, Ahmad A, Saulawa FA, Babale MS, Abubakar AA, Abdullahi AU, Yakasai TU, Gadanya MA, and Isah AS
Subjects: Humans, Male, Female, Middle Aged, Adult, Surveys and Questionnaires, Aged, Young Adult, Socioeconomic Factors, Medication Adherence statistics & numerical data, Hypertension drug therapy, Reminder Systems, Text Messaging, Antihypertensive Agents therapeutic use
Abstract: Introduction: Globally, hypertension is considered a public health problem affecting over 1.3 billion individuals of which 60% need reminders to take medication to achieve adherence, optimal blood pressure and avert complications. Literature shows electronic short message reminders (eSMS) improved medication adherence., Objective: To determine the effect of e-SMS reminders on medication adherence among hypertensive patients in Katsina State., Methods: A quasi-experimental study was employed to determine the effect of e-SMS reminders on medication adherence among 252 control and 252 intervention groups selected using a multistage sampling technique. e-SMS reminders were sent to the intervention group only. Data was collected using a pretested interviewer-administered questionnaire, and analysed using IBM-SPSS-25, while medication adherence was assessed using the 8-item Modified Morisky Adherence Scale., Results: The commonest respondents' age group was 40-49 years (23.8%) and Male-Female ratio was 0.8:1 Majority were Hausas (97.6%) by tribe and Muslims (98%). Adherence in the study group was 59.5% and 75.9% (P<0.001) that of the control group was 63.1% and 66% at pre and post-intervention stages respectively. Factors associated with adherence in the intervention group were sex, occupation, insurance coverage, and being in the 4th wealth quintile. e-SMS reminder increased adherence in the intervention groups by >16% (P<0.001) In the control group, males were 3.4 times more likely to adhere to medication than females (aOR 3.4; 95% CI 1.4-8.3) while in the intervention group, business tycoons were 3 times more likely to adhere to medication than other occupations (aOR 3.7; 95% CI 1.006-13.75;)., Conclusion: e-SMS reminders significantly increased adherence to the intervention. Determinants of adherence were occupation, male sex, insurance coverage, and being in the 4th wealth quintile. It is recommended that the State Hospital Management Board integrate e-SMS reminders as part of hypertension treatment protocols due to their potential to improve medication adherence., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2024 by West African Journal of Medicine.)
Published: 2024

15. Comparison of blood lead levels between battery recycling workers and controls in Northern Nigeria.

Author: Sani-Gwarzo N, Garba RM, Muhammad M, Gadanya MA, Umar-Tsafe N, Amin SM, Nguku P, Gumel AG, Tirima S, Abah S, Iliyasu Z, Uzochukwu B, and Nasidi A
Abstract: About 80% of the global lead production is consumed by the battery industry. As old batteries are increasingly being recycled without adequate recourse to safety and protection in many developing countries, there is well-documented evidence of lead poisoning among the workers. This study compared blood lead levels (BLL) of battery recycling workers (BRW) with controls in Northern Nigeria. This cross-sectional study assessed the BLL of BRW (self-employed informal workers, n = 98) and controls (healthcare workers, n = 98). Respondents were selected using systematic random sampling from the lists of BRW and healthcare workers. All respondents in the two groups were males, matched for age (27.81 ± 7.2, 27.67 ± 7.0 years; p = 0.890). The mean BLL was significantly higher ( p < 0.001) among the BRW compared to the controls (40.17 ± 4.2 and 3.61 ± 0.4 µg/dL, respectively), with 78.1% of the BRW having elevated BLL (≥20.0 µg/dL) and none (0.0%) of the controls having elevated BLL. Logistic regression shows none of the variables was an independent predictor of BLL in this study, implying battery reclamation as the main source of lead. Federal and state government policies should ban informal battery recycling and emphasize on plants through national collection system to consolidate used batteries only to smelters that meet minimum regulatory requirements.
Published: 2024
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16. Role of the IL8 rs4073 polymorphism in central nervous system toxicity in patients receiving multidrug-resistant tuberculosis treatment.

Author: Badamasi IM, Muhammad M, Umar AA, Madugu UM, Gadanya MA, Aliyu IA, Kabir IM, Umar IA, Johnson O, and Stanslas J
Subjects: Humans, Genotype, Antitubercular Agents adverse effects, Interleukin-8 genetics, Interleukin-8 therapeutic use, Tuberculosis, Multidrug-Resistant drug therapy, Tuberculosis, Multidrug-Resistant genetics, Tuberculosis, Multidrug-Resistant diagnosis
Abstract: Objective: To determine the role of the IL8 rs4073 polymorphism in predicting the risk of central nervous system (CNS) toxicity in patients receiving standard pharmacological treatment for multidrug-resistant tuberculosis (MDR-TB)., Methods: A cohort of 85 consenting MDR-TB patients receiving treatment with second-line antituberculosis drugs had their blood samples amplified for the IL8 (rs4073) gene and genotyped. All patients were clinically screened for evidence of treatment toxicity and categorized accordingly. Crude and adjusted associations were assessed., Results: The chief complaints fell into the following categories: CNS toxicity; gastrointestinal toxicity; skin toxicity; and eye and ear toxicities. Symptoms of gastrointestinal toxicity were reported by 59% of the patients, and symptoms of CNS toxicity were reported by 42.7%. With regard to the genotypes of IL8 (rs4073), the following were identified: AA, in 64 of the study participants; AT, in 7; and TT, in 11. A significant association was found between the dominant model of inheritance and CNS toxicity for the crude model (p = 0.024; OR = 3.57; 95% CI, 1.18-10.76) and the adjusted model (p = 0.031; OR = 3.92; 95% CI, 1.13-13.58). The AT+TT genotype of IL8 (rs4073) showed a 3.92 times increased risk of CNS toxicity when compared with the AA genotype., Conclusions: The AT+TT genotype has a tendency to be associated with an increased risk of adverse clinical features during MDR-TB treatment.
Published: 2024
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17. Using social media to build confidence in vaccines: lessons from community engagement and social science research in Africa.

Author: Cooper S, Gadanya MA, Kaawa-Mafigiri D, Katoto PDMC, Sambala EZ, Temfack E, and Wiysonge CS
Subjects: Humans, Social Sciences, Africa, Social Media, Vaccines
Abstract: Competing Interests: Competing interests: We have read and understood BMJ policy on declaration of interests and have no interests to declare.
Published: 2024
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18. AWARENESS AND PRACTICES TOWARDS PREVENTION OF MOTHER-TO-CHILD TRANSMISSION OF HIV AMONG MARRIED MEN ATTENDING THE ANTIRETROVIRAL CLINIC IN AMINU KANO TEACHING HOSPITAL, KANO, NIGERIA.

Author: Abdulkareem S, Lawan UM, Mohammed A, Sari AM, Gadanya MA, Muhammad AS, Umar AM, Adamu DY, and Jibrin ZB
Subjects: Infant, Pregnancy, Humans, Female, Male, Adult, Infectious Disease Transmission, Vertical prevention & control, Nigeria, Cross-Sectional Studies, Health Knowledge, Attitudes, Practice, Hospitals, Teaching, Anti-Retroviral Agents therapeutic use, Pregnancy Complications, Infectious drug therapy, Pregnancy Complications, Infectious prevention & control, HIV Infections drug therapy, HIV Infections prevention & control
Abstract: Background: The prevention of mother-to-child transmission (PMTCT) of HIV programme was introduced as a comprehensive package of interventions with the aim of reducing mother-to-child transmission (MTCT) of HIV. The programme offers an opportunity to capture pregnant women and their partners in order to prevent the transmission of HIV to the baby. This study is aimed at assessing the awareness and practices of married HIV-positive male partners towards PMTCT., Methodology: A descriptive cross-sectional study that interviewed 220 HIV-positive male partners using an interviewer-administered questionnaire., Results: The study revealed that more of the respondents 145 (65.9%) were between the age group of 31 to 40 years. More than half 130 (59%) of the respondents were aware of PMTCT while 135 (61.4%) of the respondents had good practice of PMTCT. Respondents with formal education were 1.5 times more likely to be aware of the PMTCT programme than those having informal education [p=0.03, AOR=1.53, 95%CI=(1.98-4.54)]. Similarly, respondents with formal education were 2.5 times more likely to practice PMTCT programme than those having informal education [p=0.03, AOR=2.53, 95%CI= (1.63-4.54)].In addition, Male partners who were above 30 years of age were 3 times more likely to participate in PMTCT activities compared to those who were less than 30 years [p=0.02, AOR=2.17, 95%CI=(0.01-4.12)]., Conclusion: Raising awareness about the need for male partners' involvement in the PMTCT programme as well as encouraging male partners to partake in PMTCT activities will further increase its uptake., Competing Interests: The Authors declare that no competing interest exists., (Copyright © 2023 by West African Journal of Medicine.)
Published: 2023

19. Blood and body fluids exposure, post-exposure prophylaxis, and HIV self-testing among healthcare workers in northern Nigeria.

Author: Iliyasu Z, Babashani M, Dantata K, Zakariyyah SA, Gadanya MA, Bashir HA, Gajida AU, and Aliyu MH
Subjects: Pregnancy, Humans, Female, Male, Post-Exposure Prophylaxis, Nigeria, Self-Testing, Health Personnel, HIV Testing, Body Fluids, HIV Infections diagnosis, HIV Infections prevention & control
Abstract: Introduction: In high-HIV burden settings, such as Nigeria, HIV self-testing and post-exposure prophylaxis (PEP) are often recommended, but not widely practiced. This study aims to identify the predictors of PEP utilization and preferences for HIV self-testing among healthcare workers in Nigeria., Methods: A total of 403 healthcare workers from a tertiary hospital in Nigeria completed questionnaires. Adjusted odds ratios were derived from logistic regression models., Results: Among the respondents, 141 (35.0%) reported experiencing at least one workplace exposure incident, with 72 (51.1%) of them receiving PEP. The majority of healthcare workers ( n = 354, 87.8%) expressed a preference for HIV self-testing over traditional HIV testing and counseling. The occurrence of exposure incidents was predicted by the respondent's sex (adjusted odds ratio [aOR] = 1.25; 95% confidence interval [CI]: 1.15-3.08, female vs. male), age (aOR = 0. 16; 95% CI: 0.03-0.92, >40 vs. <30 years), profession (aOR = 1.88; 95% CI: 1.18-4.66, nurse/midwife vs. physician), work unit (aOR = 0.06; 95% CI: 0.02-0.23, obstetrics/gynecology vs. surgery), and previous HIV testing and counseling (aOR = 0.01; 95% Cl: 0.004-0.03, no vs. yes). Respondent's profession, work unit, and previous HIV testing and counseling independently predicted a preference for HIV self-testing., Conclusion: Further exploration of the feasibility of implementing HIV self-testing as an alternative to traditional HIV testing and counseling for workplace exposures is warranted.
Published: 2023

20. Epidemiology of physical inactivity in Nigeria: a systematic review and meta-analysis.

Author: Adeloye D, Ige-Elegbede JO, Auta A, Ale BM, Ezeigwe N, Omoyele C, Dewan MT, Mpazanje RG, Agogo E, Alemu W, Gadanya MA, Harhay MO, and Adebiyi AO
Subjects: Adult, Exercise, Female, Humans, Male, Nigeria epidemiology, Prevalence, Rural Population, Sedentary Behavior
Abstract: Background: Physical activity is crucial to preventing noncommunicable diseases. This study aimed to provide up-to-date evidence on the epidemiology of insufficient physical activity across Nigeria to increase awareness and prompt relevant policy and public health response., Methods: A systematic literature search of community-based studies on physical inactivity was conducted. We constructed a meta-regression epidemiologic model to determine the age-adjusted prevalence and number of physically inactive persons in Nigeria for 1995 and 2020., Results: Fifteen studies covering a population of 13 814 adults met our selection criteria. The pooled crude prevalence of physically inactive persons in Nigeria was 52.0% (95% CI: 33.7-70.4), with prevalence in women higher at 55.8% (95% CI: 29.4-82.3) compared to men at 49.3% (95% CI: 24.7-73.9). Across settings, prevalence of physically inactive persons was significantly higher among urban dwellers (56.8%, 35.3-78.4) compared to rural dwellers (18.9%, 11.9-49.8). Among persons aged 20-79 years, the total number of physically inactive persons increased from 14.4 million to 48.6 million between 1995 and 2020, equivalent to a 240% increase over the 25-year period., Conclusions: A comprehensive and robust strategy that addresses occupational policies, town planning, awareness and information, and sociocultural and contextual issues is crucial to improving physical activity levels in Nigeria., (© The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health.)
Published: 2022
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21. Population health outcomes in Nigeria compared with other west African countries, 1998-2019: a systematic analysis for the Global Burden of Disease Study.

Author: Angell B, Sanuade O, Adetifa IMO, Okeke IN, Adamu AL, Aliyu MH, Ameh EA, Kyari F, Gadanya MA, Mabayoje DA, Yinka-Ogunleye A, Oni T, Jalo RI, Tsiga-Ahmed FI, Dalglish SL, Abimbola S, Colbourn T, Onwujekwe O, Owoaje ET, Aliyu G, Aliyu SH, Archibong B, Ezeh A, Ihekweazu C, Iliyasu Z, Obaro S, Obadare EB, Okonofua F, Pate M, Salako BL, Zanna FH, Glenn S, Walker A, Ezalarab M, Naghavi M, and Abubakar I
Subjects: Africa, Western epidemiology, Female, Humans, Infant, Newborn, Life Expectancy, Male, Nigeria epidemiology, Global Burden of Disease, Population Health
Abstract: Background: Population-level health and mortality data are crucial for evidence-informed policy but scarce in Nigeria. To fill this gap, we undertook a comprehensive assessment of the burden of disease in Nigeria and compared outcomes to other west African countries., Methods: In this systematic analysis, using data and results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, we analysed patterns of mortality, years of life lost (YLLs), years lived with disability (YLDs), life expectancy, healthy life expectancy (HALE), and health system coverage for Nigeria and 15 other west African countries by gender in 1998 and 2019. Estimates of all-age and age-standardised disability-adjusted life-years for 369 diseases and injuries and 87 risk factors are presented for Nigeria. Health expenditure per person and gross domestic product were extracted from the World Bank repository., Findings: Between 1998 and 2019, life expectancy and HALE increased in Nigeria by 18% to 64·3 years (95% uncertainty interval [UI] 62·2-66·6), mortality reduced for all age groups for both male and female individuals, and health expenditure per person increased from the 11th to third highest in west Africa by 2018 (US$18·6 in 2001 to $83·75 in 2018). Nonetheless, relative outcomes remained poor; Nigeria ranked sixth in west Africa for age-standardised mortality, seventh for HALE, tenth for YLLs, 12th for health system coverage, and 14th for YLDs in 2019. Malaria (5176·3 YLLs per 100 000 people, 95% UI 2464·0-9591·1) and neonatal disorders (4818·8 YLLs per 100 000, 3865·9-6064·2) were the leading causes of YLLs in Nigeria in 2019. Nigeria had the fourth-highest under-five mortality rate for male individuals (2491·8 deaths per 100 000, 95% UI 1986·1-3140·1) and female individuals (2117·7 deaths per 100 000, 1756·7-2569·1), but among the lowest mortality for men older than 55 years. There was evidence of a growing non-communicable disease burden facing older Nigerians., Interpretation: Health outcomes remain poor in Nigeria despite higher expenditure since 2001. Better outcomes in countries with equivalent or lower health expenditure suggest health system strengthening and targeted intervention to address unsafe water sources, poor sanitation, malnutrition, and exposure to air pollution could substantially improve population health., Funding: The Bill & Melinda Gates Foundation., Competing Interests: Declaration of interests GA is a current head of the National Agency for the Control of AIDS. CI and SA held leadership roles in the Nigerian Government during the period of writing of this paper. SA is editor in chief of BMJ Global Health. IA was a scientific and technical adviser to the Nigerian Government Presidential Task Force on COVID-19 and ZI is chair of the Nigerian national ethics committee. IA, FO, GA, SA, and IMOA are members of the Presidential Health Reform Committee. All other authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2022
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22. The Lancet Nigeria Commission: investing in health and the future of the nation.

Author: Abubakar I, Dalglish SL, Angell B, Sanuade O, Abimbola S, Adamu AL, Adetifa IMO, Colbourn T, Ogunlesi AO, Onwujekwe O, Owoaje ET, Okeke IN, Adeyemo A, Aliyu G, Aliyu MH, Aliyu SH, Ameh EA, Archibong B, Ezeh A, Gadanya MA, Ihekweazu C, Ihekweazu V, Iliyasu Z, Kwaku Chiroma A, Mabayoje DA, Nasir Sambo M, Obaro S, Yinka-Ogunleye A, Okonofua F, Oni T, Onyimadu O, Pate MA, Salako BL, Shuaib F, Tsiga-Ahmed F, and Zanna FH
Subjects: Humans, Nigeria
Abstract: Competing Interests: Declaration of interests FS, MNS, GA, and BLS are current heads of Nigerian Government health agencies. CI and SHA held leadership roles in the Nigerian Government during the period of writing of this Commission. SA is editor-in-chief of BMJ Global Health. IA was a Scientific and Technical Adviser to the Nigerian Government Presidential Task Force on COVID-19 and ZI is chair of the Nigerian national ethics committee. All other authors declare no competing interests.
Published: 2022
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23. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author: Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D, Pennini A, Xu R, Ababneh E, Abbasi-Kangevari M, Abbastabar H, Abd-Elsalam SM, Abdoli A, Abedi A, Abidi H, Abolhassani H, Adedeji IA, Adnani QES, Advani SM, Afzal MS, Aghaali M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Akalu GT, Aklilu A, Akram T, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Ali S, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almasi-Hashiani A, Almasri NA, Al-Maweri SAA, Almustanyir S, Alonso N, Alvis-Guzman N, Amu H, Anbesu EW, Ancuceanu R, Ansari F, Ansari-Moghaddam A, Antwi MH, Anvari D, Anyasodor AE, Aqeel M, Arabloo J, Arab-Zozani M, Aremu O, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Asemi Z, Asghari Jafarabadi M, Ashraf T, Atorkey P, Aujayeb A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayenew T, Azab MA, Azadnajafabad S, Azari Jafari A, Azarian G, Azzam AY, Badiye AD, Bahadory S, Baig AA, Baker JL, Balakrishnan S, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Behzadifar M, Belgaumi UI, Bezabhe WMM, Bezabih YM, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bisignano C, Bjørge T, Bleyer A, Blyuss O, Bolarinwa OA, Bolla SR, Braithwaite D, Brar A, Brenner H, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano Dos Santos FL, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Cernigliaro A, Chakinala RC, Chattu SK, Chattu VK, Chaturvedi P, Chimed-Ochir O, Cho DY, Christopher DJ, Chu DT, Chung MT, Conde J, Cortés S, Cortesi PA, Costa VM, Cunha AR, Dadras O, Dagnew AB, Dahlawi SMA, Dai X, Dandona L, Dandona R, Darwesh AM, das Neves J, De la Hoz FP, Demis AB, Denova-Gutiérrez E, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Do HP, Doaei S, Dorostkar F, Dos Santos Figueiredo FW, Driscoll TR, Ebrahimi H, Eftekharzadeh S, El Tantawi M, El-Abid H, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Eshrati B, Eskandarieh S, Esmaeilzadeh F, Etemadi A, Ezzikouri S, Faisaluddin M, Faraon EJA, Fares J, Farzadfar F, Feroze AH, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gallus S, Gaspar Fonseca M, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gholamalizadeh M, Gilani SA, Ginindza TG, Gizaw ATT, Glasbey JC, Golechha M, Goleij P, Gomez RS, Gopalani SV, Gorini G, Goudarzi H, Grosso G, Gubari MIM, Guerra MR, Guha A, Gunasekera DS, Gupta B, Gupta VB, Gupta VK, Gutiérrez RA, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Haque S, Harlianto NI, Haro JM, Hasaballah AI, Hassanipour S, Hay RJ, Hay SI, Hayat K, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Hezam K, Holla R, Hossain MM, Hossain MBH, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hugo FN, Hussain R, Hussein NR, Hwang BF, Iavicoli I, Ibitoye SE, Ida F, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Irham LM, Islam JY, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jain V, Jakovljevic MB, Javaheri T, Jayaram S, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joseph N, Joukar F, Jürisson M, Kabir A, Kahrizi D, Kalankesh LR, Kalhor R, Kaliyadan F, Kalkonde Y, Kamath A, Kameran Al-Salihi N, Kandel H, Kapoor N, Karch A, Kasa AS, Katikireddi SV, Kauppila JH, Kavetskyy T, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khalilov R, Khan G, Khan M, Khan MN, Khan MAB, Khang YH, Khater AM, Khayamzadeh M, Kim GR, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kopec JA, Koteeswaran R, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Kucuk Bicer B, Kugbey N, Kumar GA, Kumar N, Kumar N, Kurmi OP, Kutluk T, La Vecchia C, Lami FH, Landires I, Lauriola P, Lee SW, Lee SWH, Lee WC, Lee YH, Leigh J, Leong E, Li J, Li MC, Liu X, Loureiro JA, Lunevicius R, Magdy Abd El Razek M, Majeed A, Makki A, Male S, Malik AA, Mansournia MA, Martini S, Masoumi SZ, Mathur P, McKee M, Mehrotra R, Mendoza W, Menezes RG, Mengesha EW, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mirzaei H, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Moka N, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moosavi MA, Moradi Y, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mubarik S, Mwanri L, Nagarajan AJ, Nagaraju SP, Nagata C, Naimzada MD, Nangia V, Naqvi AA, Narasimha Swamy S, Ndejjo R, Nduaguba SO, Negoi I, Negru SM, Neupane Kandel S, Nguyen CT, Nguyen HLT, Niazi RK, Nnaji CA, Noor NM, Nuñez-Samudio V, Nzoputam CI, Oancea B, Ochir C, Odukoya OO, Ogbo FA, Olagunju AT, Olakunde BO, Omar E, Omar Bali A, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Patel HK, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira DM, Pereira RB, Perianayagam A, Pillay JD, Pirouzpanah S, Pishgar F, Podder I, Postma MJ, Pourjafar H, Prashant A, Preotescu L, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Rafiee A, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajai N, Rajesh A, Rakovac I, Ram P, Ramezanzadeh K, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rawassizadeh R, Razeghinia MS, Renzaho AMN, Rezaei N, Rezaei N, Rezapour A, Roberts TJ, Rodriguez JAB, Rohloff P, Romoli M, Ronfani L, Roshandel G, Rwegerera GM, S M, Sabour S, Saddik B, Saeed U, Sahebkar A, Sahoo H, Salehi S, Salem MR, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sankararaman S, Santric-Milicevic MM, Sardiwalla Y, Sarveazad A, Sathian B, Sawhney M, Saylan M, Schneider IJC, Sekerija M, Seylani A, Shafaat O, Shaghaghi Z, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikh A, Sheikhbahaei S, Shetty A, Shetty JK, Shetty PH, Shibuya K, Shirkoohi R, Shivakumar KM, Shivarov V, Siabani S, Siddappa Malleshappa SK, Silva DAS, Singh JA, Sintayehu Y, Skryabin VY, Skryabina AA, Soeberg MJ, Sofi-Mahmudi A, Sotoudeh H, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Sultan I, Sultana S, Sur D, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Tadbiri H, Taherkhani A, Takahashi K, Talaat IM, Tan KK, Tat VY, Tedla BAA, Tefera YG, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Tohidinik HR, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tran MTN, Tripathy JP, Tusa BS, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Vacante M, Vaezi M, Valadan Tahbaz S, Velazquez DZ, Veroux M, Violante FS, Vlassov V, Vo B, Volovici V, Vu GT, Waheed Y, Wamai RG, Ward P, Wen YF, Westerman R, Winkler AS, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazie TSY, Yeshaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yuce D, Yunusa I, Zadnik V, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhong C, Zhou L, Zhu C, Ziapour A, Zimmermann IR, Fitzmaurice C, Murray CJL, and Force LM
Subjects: Disability-Adjusted Life Years, Global Health, Humans, Incidence, Prevalence, Quality-Adjusted Life Years, Risk Factors, Global Burden of Disease, Neoplasms epidemiology
Abstract: Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden., Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019., Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs)., Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles., Conclusions and Relevance: The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.
Published: 2022
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24. Estimating the prevalence of COPD in an African country: evidence from southern Nigeria.

Author: Ale BM, Ozoh OB, Gadanya MA, Li Y, Harhay MO, Adebiyi AO, and Adeloye D
Abstract: # Background: Though several environmental and demographic factors would suggest a high burden of chronic obstructive pulmonary disease (COPD) in most African countries, there is insufficient country-level synthesis to guide public health policy., # Methods: A systematic search of MEDLINE, EMBASE, Global Health and African Journals Online identified studies reporting the prevalence of COPD in Nigeria. We provided a detailed synthesis of study characteristics, and overall median and interquartile range (IQR) of COPD prevalence in Nigeria by case definitions (spirometry or non-spirometry)., # Results: Of 187 potential studies, eight studies (6 spirometry and 2 non-spirometry) including 4,234 Nigerians met the criteria. From spirometry assessment, which is relatively internally consistent, the median prevalence of COPD in Nigeria was 9.2% (interquartile range, IQR: 7.6-10.0), compared to a lower prevalence (5.1%, IQR: 2.2-15.4) from studies based on British Medical Research Council (BMRC) criteria or doctor's diagnosis. The median prevalence of COPD was almost the same among rural (9.5%, IQR: 7.6-10.3) and urban dwellers (9.0%, IQR: 5.3-9.3) from spirometry studies., # Conclusions: A limited number of studies on COPD introduces imprecision in prevalence estimates and presents concerns on the level of response available across different parts of Nigeria, and indeed across many countries in sub-Saharan Africa., Competing Interests: Competing interests: DA is a Co-Editor-in-Chief of the Journal of Global Health Reports. To ensure that any possible conflict of interest relevant to the journal has been addressed, this article was reviewed according to best practice guidelines of international editorial organisations. The authors completed the ICMJE Unified Competing Interests Form (available upon request) and declare no further conflicts of interest.
Published: 2022
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25. Estimating the prevalence of overweight and obesity in Nigeria in 2020: a systematic review and meta-analysis.

Author: Adeloye D, Ige-Elegbede JO, Ezejimofor M, Owolabi EO, Ezeigwe N, Omoyele C, Mpazanje RG, Dewan MT, Agogo E, Gadanya MA, Alemu W, Harhay MO, Auta A, and Adebiyi AO
Subjects: Adolescent, Adult, Aged, Body Mass Index, Female, Humans, Male, Middle Aged, Nigeria epidemiology, Prevalence, Rural Population statistics & numerical data, Urban Population statistics & numerical data, Waist Circumference, Young Adult, Obesity epidemiology, Overweight epidemiology
Abstract: Background: Targeted public health response to obesity in Nigeria is relatively low due to limited epidemiologic understanding. We aimed to estimate nationwide and sub-national prevalence of overweight and obesity in the adult Nigerian population., Methods: MEDLINE, EMBASE, Global Health, and Africa Journals Online were systematically searched for relevant epidemiologic studies in Nigeria published on or after 01 January 1990. We assessed quality of studies and conducted a random-effects meta-analysis on extracted crude prevalence rates. Using a meta-regression model, we estimated the number of overweight and obese persons in Nigeria in the year 2020., Results: From 35 studies ( n = 52,816), the pooled crude prevalence rates of overweight and obesity in Nigeria were 25.0% (95% confidence interval, CI: 20.4-29.6) and 14.3% (95% CI: 12.0-15.5), respectively. The prevalence in women was higher compared to men at 25.5% (95% CI: 17.1-34.0) versus 25.2% (95% CI: 18.0-32.4) for overweight, and 19.8% (95% CI: 3.9-25.6) versus 12.9% (95% CI: 9.1-16.7) for obesity, respectively. The pooled mean body mass index (BMI) and waist circumference were 25.6 kg/m 2 and 86.5 cm, respectively. We estimated that there were 21 million and 12 million overweight and obese persons in the Nigerian population aged 15 years or more in 2020, accounting for an age-adjusted prevalence of 20.3% and 11.6%, respectively. The prevalence rates of overweight and obesity were consistently higher among urban dwellers (27.2% and 14.4%) compared to rural dwellers (16.4% and 12.1%)., Conclusions: Our findings suggest a high prevalence of overweight and obesity in Nigeria. This is marked in urban Nigeria and among women, which may in part be due to widespread sedentary lifestyles and a surge in processed food outlets, largely reflective of a trend across many African settings.KEY MESSAGESAbout 12 million persons in Nigeria were estimated to be obese in 2020, with prevalence considerably higher among women. Nutritional and epidemiological transitions driven by demographic changes, rising income, urbanization, unhealthy lifestyles, and consumption of highly processed diets appear to be driving an obesity epidemic in the country.
Published: 2021
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26. The Conundrum of Low COVID-19 Mortality Burden in sub-Saharan Africa: Myth or Reality?

Author: Adams J, MacKenzie MJ, Amegah AK, Ezeh A, Gadanya MA, Omigbodun A, Sarki AM, Thistle P, Ziraba AK, Stranges S, and Silverman M
Subjects: Africa South of the Sahara epidemiology, Humans, SARS-CoV-2, COVID-19 mortality, Cost of Illness
Published: 2021
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27. Prevalence, awareness, treatment, and control of hypertension in Nigeria in 1995 and 2020: A systematic analysis of current evidence.

Author: Adeloye D, Owolabi EO, Ojji DB, Auta A, Dewan MT, Olanrewaju TO, Ogah OS, Omoyele C, Ezeigwe N, Mpazanje RG, Gadanya MA, Agogo E, Alemu W, Adebiyi AO, and Harhay MO
Subjects: Adult, Awareness, Blood Pressure, Cross-Sectional Studies, Female, Humans, Male, Nigeria epidemiology, Prevalence, Young Adult, Hypertension drug therapy, Hypertension epidemiology, Hypertension prevention & control, Prehypertension
Abstract: Improved understanding of the current burden of hypertension, including awareness, treatment, and control, is needed to guide relevant preventative measures in Nigeria. A systematic search of studies on the epidemiology of hypertension in Nigeria, published on or after January 1990, was conducted. The authors employed random-effects meta-analysis on extracted crude hypertension prevalence, and awareness, treatment, and control rates. Using a meta-regression model, overall hypertension cases in Nigeria in 1995 and 2020 were estimated. Fifty-three studies (n = 78 949) met our selection criteria. Estimated crude prevalence of pre-hypertension (120-139/80-89 mmHg) in Nigeria was 30.9% (95% confidence interval [CI]: 22.0%-39.7%), and the crude prevalence of hypertension (≥140/90 mmHg) was 30.6% (95% CI: 27.3%-34.0%). When adjusted for age, study period, and sample, absolute cases of hypertension increased by 540% among individuals aged ≥20 years from approximately 4.3 million individuals in 1995 (age-adjusted prevalence 8.6%, 95% CI: 6.5-10.7) to 27.5 million individuals with hypertension in 2020 (age-adjusted prevalence 32.5%, 95% CI: 29.8-35.3). The age-adjusted prevalence was only significantly higher among men in 1995, with the gap between both sexes considerably narrowed in 2020. Only 29.0% of cases (95% CI: 19.7-38.3) were aware of their hypertension, 12.0% (95% CI: 2.7-21.2) were on treatment, and 2.8% (95% CI: 0.1-5.7) had at-goal blood pressure in 2020. Our study suggests that hypertension prevalence has substantially increased in Nigeria over the last two decades. Although more persons are aware of their hypertension status, clinical treatment and control rates, however, remain low. These estimates are relevant for clinical care, population, and policy response in Nigeria and across Africa., (© 2021 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC.)
Published: 2021
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28. Effect of voice reminder on compliance with recommended hand hygiene practise among health-care workers in Kano metropolis.

Author: Ibrahim UM, Gajida AU, Garba RM, Gadanya MA, Umar AA, Jalo RI, Adamu AL, Ismai F, Tsiga-Ahmed, Gwarzo DH, Abdussalam K, Danzomo AA, Aliyu MS, and Jibo AM
Subjects: Guideline Adherence, Hand Disinfection, Health Personnel, Humans, Nigeria, Hand Hygiene
Abstract: Background: Poor compliance with recommended hand hygiene practise by health-care workers is an emerging public health threat associated with significant morbidity, mortality and spread of multidrug-resistant microorganisms., Objective: This study assessed the effect of voice reminder on compliance with recommended hand hygiene practise among the baseline, and post-intervention compliance with recommended hand hygiene among health-care workers using the WHO checklist for observation of 5-moments of hand hygiene of health-care workers in Kano., Methods: Quasi-experimental study design was used. A total of 408 (204 in each arm) baseline and post-intervention observations were conducted in two hospitals in Kano, selected using a multistage sampling technique. Voice reminders were installed in the intervention hospital, and post-intervention observation was conducted 3 months after introducing a voice reminder. SPSS version 22.0 was used for data analysis. Relationship between variables was tested using χ 2 and McNemar's test within the groups at 0.05 α-level of significance., Results: Baseline compliance with hand hygiene in the intervention and control hospitals were 31.4% and 48.0%, respectively. Post-intervention compliance in the intervention and control hospitals were found to be 78.0% and 65.2%, respectively. Voice reminder improved compliance with hand hygiene practise when compared with baseline by +148% (P# = 0.3) in the intervention hospital compared with +36% (P# =0.1) in the control hospital. The differences were not statistically significant post-intervention when compared with the baseline., Conclusions: Voice reminder intervention improved hand hygiene compliance among health-care workers in the intervention hospital compared with the control hospital. Voice reminders should be provided in the hospitals by stakeholders. This can help in improving compliance with hand hygiene among health-care workers and reducing the burden of hospital-acquired infections due to the hands of health-care workers., Competing Interests: None
Published: 2021
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29. Project OPUS: Development and evaluation of an electronic platform for pain management education of medical undergraduates in resource-limited settings.

Author: Onyeka TC, Iloanusi N, Namisango E, Onu JU, Okunade KS, Mohammed AD, Gadanya MA, Nagoma AU, Ojiakor S, Ilo C, Okuzu O, Oduche C, Ugwu N, and Allsop MJ
Subjects: Adult, Clinical Competence, Curriculum, Education, Medical methods, Female, Health Personnel education, Humans, Learning, Male, Nigeria, Prospective Studies, Qualitative Research, Students, Medical psychology, Surveys and Questionnaires, Young Adult, Education, Medical, Undergraduate methods, Pain Management methods
Abstract: Introduction: Pain is a very frequent symptom that is reported by patients when they present to health professionals but remains undertreated or untreated, particularly in low-resource settings including Nigeria. Lack of training in pain management remains the most significant obstacle to pain treatment alongside an inadequate emphasis on pain education in undergraduate medical curricula, negatively impacting on subsequent care of patients. This study aimed to determine the effect of a 12-week structured e-Learning course on the knowledge of pain management among Nigerian undergraduate medical students., Methods: Prospective, multisite, pre-post study conducted across five medical colleges in Nigeria. Structured modules covering aspects of pain management were delivered on an e-Learning platform. Pre- and post-test self-assessments were carried out in the 12-week duration of the study. User experience questionnaires and qualitative interviews were conducted via instant messaging to evaluate user experiences of the platform. User experience data was analysed using the UEQ Data Analysis Tool and Framework Analysis., Results: A total of 216 of 659 eligible students completed all sections of the e-Learning course. Participant mean age was 23.52 years, with a slight female predominance (55.3%). Across all participants, an increase in median pre- and post-test scores occurred, from 40 to 60 (Z = 11.3, p<0.001, effect size = 1.3), suggestive of increased knowledge acquisition relating to pain management. Participants suggested e-Learning is a valuable approach to delivering pain education alongside identifying factors to address in future iterations., Conclusion: e-Learning approaches to pain management education can enhance traditional learning methods and may increase students' knowledge. Future iterations of e-Learning approaches will need to consider facilitating the download of data and content for the platform to increase user uptake and engagement. The platform was piloted as an optional adjunct to existing curricula. Future efforts to advocate and support integration of e-Learning for pain education should be two-fold; both to include pain education in the curricula of medical colleges across Nigeria and the use of e-Learning approaches to enhance teaching where feasible., Competing Interests: Okey Okuzu is Founder and CEO, and Chinelo Oduche a Project Manager, for InStrat Global Health Solutions, the company providing the software on which the e-Learning platform was developed in collaboration with the research team. This commercial affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors declare no conflict of interest.
Published: 2020
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30. Factors influencing non-prescription sales of antibiotics among patent and proprietary medicine vendors in Kano, Nigeria: a cross-sectional study.

Author: Adamu AA, Gadanya MA, Jalo RI, Uthman OA, and Wiysonge CS
Subjects: Cross-Sectional Studies, Nigeria, Nonprescription Drugs economics, Nonprescription Drugs supply & distribution, Anti-Bacterial Agents economics, Anti-Bacterial Agents supply & distribution, Commerce
Abstract: Patent and proprietary medicine vendors (PPMVs) increase access to antibiotics through non-prescription sales in their drug retail outlets. This fosters irrational antibiotic use among people, thus contributing to the growing burden of resistance. Although training programmes on antibiotic use and resistance exist, they have disproportionately targeted health workers in hospital settings. It's unclear if there is a relationship between such trainings and non-prescription sales of antibiotics among PPMVs which are more embedded in communities. Therefore, a cross-sectional study was conducted to elicit the determinants of non-prescription antibiotic sales among PPMVs in Kano metropolis, Nigeria. Through brainstorming, causal loop diagrams (CLDs) were used to illustrate the dynamics of factors that are responsible for non-prescription antibiotic sales. Multilevel logistic regression model was used to determine the relationship between training on antibiotic use and resistance and non-prescription antibiotic sales, after controlling for potential confounders. We found that two-third (66.70%) of the PPMVs reported that they have sold non-prescribed antibiotics. A total of three CLDs were constructed to illustrate the complex dynamics of the factors that are related to non-prescription antibiotic sales. After controlling for all factors, PPMVs who reported that they had never received any training on antibiotic use and resistance were twice as more likely to sell antibiotic without prescription compared with those who reported that they have ever received such training (OR = 2.07, 95% CI: 1.27-3.37). This finding suggests that there is an association between training on antibiotic use and resistance and non-prescription sales of antibiotics. However, the complex dynamics of the factors should not be ignored as it can have implications for the development of intervention programmes. Multifaceted and multicomponent intervention packages (incorporating trainings on antibiotic use and resistance) that account for the inherent complexity within the system are likely to be more effective for this setting., (© The Author(s) 2020. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Published: 2020
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31. Assessing readiness to implement routine immunization among patent and proprietary medicine vendors in Kano, Nigeria: a theory-informed cross-sectional study.

Author: Adamu AA, Gadanya MA, Jalo RI, Uthman OA, Nnaji CA, Bello IW, and Wiysonge CS
Subjects: Adult, Cross-Sectional Studies, Feasibility Studies, Female, Health Knowledge, Attitudes, Practice, Humans, Male, Nigeria, Public Health, Surveys and Questionnaires, Young Adult, Commerce statistics & numerical data, Health Services Accessibility, Immunization methods, Medically Underserved Area
Abstract: Background: Patent and proprietary medicine vendors (PPMVs) are widespread in communities and can potentially be used to expand access to routine immunization especially in underserved areas. In this study, we aimed to assess their readiness to implement routine immunization in Kano, Nigeria and identify factors associated with it., Methods: We conducted a cross-sectional survey of PPMVs aged 18 years and above in Kano metropolis, Nigeria, using cluster sampling technique. A 10-item Likert scale-based measure was used to estimate readiness score. The relationship between selected factors and readiness score was examined using multilevel linear modeling technique., Results: A total of 455 PPMVs with median age of 36 years participated in the study. The median raw score for readiness was 4.7 (IQR: 4.3 - 4-8) (maximum obtainable was 5). The mean readiness score (obtained through factor analysis) was 5.28 (SD: 0.58). Readiness score was associated with factors such as knowledge of immunization and task demand, engagement by other public health programs among others., Conclusion: This study demonstrated the feasibility of measuring the level of readiness for implementing routine immunization among PPMVs. Given the high level of readiness, policy makers should consider the possibility of expanding access to immunization through PPMVs.
Published: 2020
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32. Using the consolidated framework for implementation research (CFIR) to assess the implementation context of a quality improvement program to reduce missed opportunities for vaccination in Kano, Nigeria: a mixed methods study.

Author: Adamu AA, Uthman OA, Gadanya MA, and Wiysonge CS
Subjects: Adult, Female, Health Personnel, Humans, Male, Nigeria, Vaccination, Quality Improvement, Vaccines
Abstract: Background : Although understanding implementation context is essential, there is a dearth of research on how to systematically explore it in quality improvement (QI) programs. Therefore, in this study, we used the consolidated framework for implementation research (CFIR) to guide a systematic evaluation of the implementation context of an ongoing QI program in order to generate rapid site-specific feedback that can be used to improve subsequent plan-do-study-act (PDSA) cycles. Methods : Formative cross-case evaluation was conducted using convergent mixed methods design. The study was conducted in five primary health care (PHC) facilities (PHC 1, PHC 3, PHC 5, PHC 9 and PHC 10) implementing the QI program. Health workers in those facilities formed the study population. Quantitative data were collected using a self-administered, Likert-based rating tool, while qualitative data collection was guided by an interview guide. The interviews were transcribed verbatim, and thematic analysis was performed. Raw median score and factor scores were computed. Methodological integration occurred at the design, analysis and reporting stage. Results : A total of 165 health workers were included in this study with a mean age of 33.43 years (standard deviation of 7.15). Majority were females and they all had post-secondary education. Health workers in two facilities; PHC 1 and PHC 5, reported higher score for the QI program across all five domains of CFIR. Implementation facilitators included intervention flexibility, relative advantage, self-efficacy among health workers, health workers confidence in the intervention, services integration. While implementation barriers included vaccine stock out, faulty cold chain infrastructure, lack of incentives, and socio-cultural beliefs. Conclusion : This study demonstrated that theory-driven formative evaluation can be integrated in QI programs in a low resource setting. It buttressed the value in conducting such assessment as they can be used to generate rapid feedback on factors that influence implementation success which can then be addressed in subsequent cycles.
Published: 2020
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33. Implementation and evaluation of a collaborative quality improvement program to improve immunization rate and reduce missed opportunities for vaccination in primary health-care facilities: a time series study in Kano, Nigeria.

Author: Adamu AA, Uthman OA, Gadanya MA, and Wiysonge CS
Subjects: Child, Preschool, Health Personnel, Humans, Immunization Programs statistics & numerical data, Infant, Infant, Newborn, Nigeria, Vaccination, Health Facilities, Immunization statistics & numerical data, Primary Health Care, Quality Improvement
Abstract: Background : The authors aimed to implement a quality improvement (QI) collaborative in primary health care (PHC) facilities in Nassarawa Local Government Area of Kano, Nigeria, to reduce missed opportunities for vaccination (MOV) among children aged 0-23 months. Research design and methods : Plausibility evaluation design was used in this study. Frontline health workers from five purposively selected PHC facilities used divergent-convergent thinking to select change ideas. Change ideas were implemented in two plan-do-study-act cycles that were 4 weeks apart. Statistical process control using P-chart was used to plot the outcomes over time. Upper and lower control limits were calculated for each p-chart. Results : In the facilities that implemented the QI program, the average percentage of MOV in the pre-implementation period was 31.7% with an upper control limit (UCL) of 44.5% and lower control limit (LCL) of 18.9%. After commencing QI implementation, data points stabilized as all points were within the control limits. Improvement was more evident in PHC 1 and 5. Conclusions : The findings from this study suggest that frontline health workers are capable of tailoring change ideas to their local context to generate context-specific change ideas. It also showed that QI can be used to attain process control in the occurrence of MOV.
Published: 2019
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34. Using the theoretical domains framework to explore reasons for missed opportunities for vaccination among children in Kano, Nigeria: a qualitative study in the pre-implementation phase of a collaborative quality improvement project.

Author: Adamu AA, Uthman OA, Gadanya MA, Cooper S, and Wiysonge CS
Subjects: Adult, Cooperative Behavior, Female, Focus Groups, Humans, Immunization Programs organization & administration, Immunization Programs standards, Infant, Infant, Newborn, Nigeria, Quality Improvement, Vaccination Coverage, Young Adult, Caregivers psychology, Health Knowledge, Attitudes, Practice, Vaccination statistics & numerical data, Vaccines administration & dosage
Abstract: Background : Missed opportunities for vaccination (MOV) have been identified as an important contributor to low childhood immunization coverage. In this study, we explore the reasons for MOV from the perspective of caregivers of children aged 0-23 months attending primary health care (PHC) facilities in Nassarawa Local Government Area (LGA) of Kano State, Nigeria. This was to inform the implementation of a quality improvement program to reduce MOV. Methodology : An exploratory qualitative research was conducted using focus group discussions (FGD) with caregivers of children aged 0-23 months that visited PHC facilities. The study was conducted in three purposively selected PHC facilities in Nassarawa, Kano. The caregivers were purposively selected from the three PHC facilities and were homogenous in terms of their place of residence. Each FGD was conducted face-to-face in a private room within the health facility. During the discussion, participants maintained a circular sitting arrangement. The FGD were audio-recorded, transcribed verbatim, and analyzed using template analysis approach through the lens of the theoretical domains framework (TDF) and the capability, opportunity, motivation - behavior (COM-B) model. The researchers that conducted this study are epidemiologists and implementation scientists with experience in immunization programs. They are multilingual, and some are fluent in both English and Hausa language. Although four of them are medical doctors, however, they do not have any affiliations or provide health services in any of the PHC facilities where this study was conducted. Result : Five FGD with 30 caregivers was conducted. The caregivers were aged between 19 and 32 years and lived within the LGA. Based on their lived experiences, several factors that are responsible for MOV were identified and categorized into three constructs based on the COM-B model. Capability encompassed caregiver's inadequate knowledge of the vaccines that children need. The opportunity included contextual factors such as non-screening of home-based records, health worker's refusal to offer immunization services, and husband's refusal due to socio-cultural beliefs. Finally, motivation included fear of the side effects of vaccination. Conclusion : This study identified a useful framework that aided deeper insights into caregiver-related factors responsible for MOV in Nassarawa, Kano. Some of the findings from this study can be used to inform change ideas in a quality improvement program and should be explored.
Published: 2019
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35. A multilevel analysis of the determinants of missed opportunities for vaccination among children attending primary healthcare facilities in Kano, Nigeria: Findings from the pre-implementation phase of a collaborative quality improvement programme.

Author: Adamu AA, Uthman OA, Gadanya MA, Adetokunboh OO, and Wiysonge CS
Subjects: Adolescent, Adult, Caregivers, Cross-Sectional Studies, Humans, Infant, Infant, Newborn, Male, Multilevel Analysis, Nigeria, Primary Health Care, Quality Improvement, Socioeconomic Factors, Young Adult, Vaccination statistics & numerical data
Abstract: Background: We aimed to determine the factors that are responsible for missed opportunities for vaccination (MOV) among children aged 0-23 months attending primary health care (PHC) facilities in Nassarawa, Kano State, Nigeria., Methods: This cross-sectional study was conducted in the pre-implementation phase of a quality improvement programme. One-stage cluster sampling technique was employed. Data were collected from caregivers of children aged 0-23 months in ten randomly selected PHC facilities in Nassarawa Local Government Area of Kano State. Semi-structured, interviewer administered questionnaires were used. Frequencies and percentages were used to summarize the data. Multilevel logistic regression model with fixed effect and random effect component was fitted to obtain measures of association and variation respectively., Results: Caregivers of 675 children responded. Among these children, the prevalence of MOV (for at least one antigen) was 36.15%. MOV (for individual antigens) was highest for inactivated polio vaccine followed by measles vaccine. The random effect model yielded an intraclass correlation coefficient of 9.60% for the empty model. The fixed effect model revealed that MOV was more likely among children that were accompanying a caregiver to the health facility (OR = 2.86, 95%CrI: 1.28 to 5.80) compared to those that were visiting the health facility for medical consultation. Failure to receive vaccination on the day of health facility visit (OR = 2.32, 95%CrI: 1.12 to 4.12) and visiting a clinic with three or more vaccinators (OR = 12.91, 95%CrI: 4.82 to 27.14) increased the likelihood of MOV., Conclusion: The study identified important local factors that are responsible for MOV which can be addressed in the QI programme., Competing Interests: The authors have declared that no competing interests exist.
Published: 2019
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36. Prevalence and dynamics of missed opportunities for vaccination among children in Africa: applying systems thinking in a systematic review and meta-analysis of observational studies.

Author: Adamu AA, Sarki AM, Uthman OA, Wiyeh AB, Gadanya MA, and Wiysonge CS
Subjects: Africa, Facilities and Services Utilization statistics & numerical data, Humans, Infant, Infant, Newborn, Systems Analysis, Vaccination Coverage statistics & numerical data, Vaccines administration & dosage
Abstract: Objective: To estimate the prevalence of missed opportunities for vaccination (MOV) among children aged 0-23 months attending health-care facilities in Africa and explore the factors responsible for MOV using systems thinking., Research Design and Methods: We conducted a systematic review and meta-analysis of studies reporting the proportion MOVs. Five electronic databases were searched. A random effects model was fitted to obtain pooled estimates of MOV and a causal loop diagram (CLD) was constructed to explore the dynamics of the causes of MOV. MOV was defined as any contact with health services in Africa, by an unvaccinated or under-vaccinated child, aged 0-23 months, who is eligible for vaccination and free of any contraindication, which does not result in vaccination., Results: Four hundred and twenty-one publications were found, of which 20 studies from 14 countries were included. The pooled prevalence of MOV was estimated to be 27.26% (95%CI: 18.80-36.62). A CLD with seven reinforcing and two balancing loops were constructed., Conclusion: Our findings suggest that about one in every four children under the age of two years who visited health facilities in 14 African countries missed the vaccination they were eligible to receive. To enable continent-wide estimates, more MOV assessments are required.
Published: 2019
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37. Application of quality improvement approaches in health-care settings to reduce missed opportunities for childhood vaccination: a scoping review.

Author: Adamu AA, Uthman OA, Wambiya EO, Gadanya MA, and Wiysonge CS
Subjects: Africa South of the Sahara, Child, Child Health, Health Facilities, Humans, Delivery of Health Care, Quality Improvement statistics & numerical data, Vaccination statistics & numerical data
Abstract: Missed opportunities for vaccination (MOV) is a poor reflection of the quality of care for children attending health facilities. It also contributes to a reduction in overall immunization coverage. Although there is a growing interest in the use of quality improvement (QI) in complex health systems to improve health outcomes, the degree to which this approach has been used to address MOV is poorly understood. We conducted a scoping review using Arksey and O'Malley's framework to investigate the extent to which QI has been used in health facilities to reduce MOV. The review followed five stages as follows: (1) identifying the research question; (2) identifying the relevant studies; (3) selecting the studies; (4) charting data; and (5) collating, summarizing, and reporting results. The search strategy included electronic databases and gray literature. A total of 12 literatures on QI projects focused on addressing MOV were identified. Eleven were published manuscripts, and one was a conference presentation. All the QI projects published were conducted in the United States and majority were between 2014 and 2018. In these projects, 45 change ideas targeting providers, clients, and health system were used. This study generated important evidence on the use of QI in health facilities to reduce MOV. In addition, the result suggests that there is a growing interest in the use of this approach to address MOV in recent years. However, no literature was found in low- and middle-income countries especially sub-Saharan Africa.
Published: 2019
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38. Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria.

Author: Iliyasu G, Dayyab FM, Abubakar S, Inuwa S, Tambuwal SH, Tiamiyu AB, Habib ZG, Gadanya MA, Sheshe AA, Mijinyawa MS, Aminu A, Adamu MS, Mande KM, and Habib AG
Abstract: Objective: Hospital-acquired infections (HAI) are a global problem and a major public health concern in hospitals throughout the world. Quantification of HAI is needed in developing countries; hence we describe the results of a 2-year surveillance data in a tertiary hospital in Nigeria., Methodology: This study is a 2-year review using secondary data collected at a tertiary referral center in northwestern Nigeria. The data was collected using surveillance forms modeled based on the Centre for Disease Control (CDC) protocol. Descriptive statistics were used to present results as frequencies and percentages., Result: 518 patients developed HAI out of 8216 patients giving an overall prevalence of 6.3%. The mean age of the patients was 35.98 years (±15.92). Males constituted 281 (54.2%). UTI 223 (43.1%) was the most prevalent HAI. Overall, E. coli 207 (40.0%) was the most frequent isolates followed by P. aerugenosa 80 (15.4%). There was a high prevalence of cloxacillin resistant S. aureus (67.9%) and gram-negative rods resistant to third-generation cephalosporins. Trimethoprim-sulfamethoxazole resistance across the board was more than 90%., Conclusion: There is a high burden of HAI especially UTI in our hospital with resistance to commonly used antibiotics documented.
Published: 2018
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39. Post-exposure prophylaxis following occupational exposure to HIV and hepatitis B: an analysis of a 12-year record in a Nigerian tertiary hospital.

Author: Abubakar S, Iliyasu G, Dayyab FM, Inuwa S, Tudun Wada RA, Sadiq NM, Gadanya MA, Sheshe AA, Mijinyawa MS, and Habib AG
Abstract: Background: Healthcare workers (HCWs) have an increased risk of occupational exposure to blood-borne pathogens., Aims/objectives: We aim to examine the utilisation and outcome of post-exposure prophylaxis (PEP) for both HIV and hepatitis B (HBV) among HCWs., Methods: This was a retrospective study conducted in a tertiary hospital in North-Western Nigeria. We reviewed data on HIV or HBV PEP given to HCWs between 2004 and 2016., Results: A total of 115 HCWs presented for PEP during the study period. Intern doctors were the most exposed group (40/115; 34.8%). There were 86/115 (74.8%) needle stick exposures. While 53/115 (46.1%) of the sources of exposure were HIV-positive, 9/115(7.83%) were HBV-positive. Zidovudine-based regimen (40/70) was the most commonly prescribed. No seroconversion occurred among those that completed PEP treatment and follow-up., Discussion: No seroconversion occurred among those that received either or both HIV and HBV PEP and completed PEP treatment., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Published: 2018
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40. Deaths during tuberculosis treatment among paediatric patients in a large tertiary hospital in Nigeria.

Author: Adamu AL, Aliyu MH, Galadanci NA, Musa BM, Gadanya MA, Gajida AU, Amole TG, Bello IW, Gambo S, and Abubakar I
Subjects: Child, Child, Preschool, Humans, Nigeria epidemiology, Retrospective Studies, Treatment Outcome, Antitubercular Agents therapeutic use, Tertiary Care Centers, Tuberculosis drug therapy, Tuberculosis mortality
Abstract: Background: Despite availability of effective cure, tuberculosis (TB) remains a leading cause of death in children. In many high-burden countries, childhood TB is underdiagnosed and underreported, and care is often accessed too late, resulting in adverse treatment outcomes. In this study, we examined the time to death and its associated factors among a cohort of children that commenced TB treatment in a large treatment centre in northern Nigeria., Methods: This is a retrospective cohort study of children that started TB treatment between 2010 and 2014. We determined mortality rates per 100 person-months of treatment, as well as across treatment and calendar periods. We used Cox proportional hazards regression to determine adjusted hazard ratios (aHR) for factors associated with mortality., Results: Among 299 children with a median age 4 years and HIV prevalence of 33.4%; 85 (28.4%) died after 1,383 months of follow-up. Overall mortality rate was 6.1 per 100 person-months. Deaths occurred early during treatment and declined from 42.4 per 100 person-months in the 1st week of treatment to 2.2 per 100 person-months after at the 3rd month of treatment. Mortality was highest between October to December period (9.1 per 100 pm) and lowest between July and September (2.8 per 100 pm). Risk factors for mortality included previous TB treatment (aHR 2.04:95%CI;1.09-3.84); HIV infection (aHR 1.66:95%CI;1.02-2.71), having either extra-pulmonary disease (aHR 2.21:95%CI;1.26-3.89) or both pulmonary and extrapulmonary disease (aHR 3.03:95%CI;1.70-5.40)., Conclusions: Mortality was high and occurred early during treatment in this cohort, likely indicative of poor access to prompt TB diagnosis and treatment. A redoubling of efforts at improving universal health coverage are required to achieve the End TB Strategy target of zero deaths from TB.
Published: 2017
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41. Coverage and determinants of childhood immunization in Nigeria: A systematic review and meta-analysis.

Author: Adeloye D, Jacobs W, Amuta AO, Ogundipe O, Mosaku O, Gadanya MA, and Oni G
Subjects: Child, Educational Status, Female, Humans, Infant, Male, Mothers psychology, Nigeria, Rural Population, Vaccines administration & dosage, Vaccines adverse effects, Immunization statistics & numerical data, Immunization Programs, Mass Vaccination statistics & numerical data, Vaccination Coverage
Abstract: Introduction: The proportion of fully immunized children in Nigeria is reportedly low. There are concerns over national immunization data quality, with this possibly limiting country-wide response. We reviewed publicly available evidence on routine immunization across Nigeria to estimate national and zonal coverage of childhood immunization and associated determinants., Methods: A systematic search of Medline, EMBASE, Global Health and African Journals Online (AJOL) was conducted. We included population-based studies on childhood immunization in Nigeria. A random effects meta-analysis was conducted on extracted crude rates to arrive at national and zonal pooled estimates for the country., Results: Our search returned 646 hits. 21 studies covering 25 sites and 26,960 children were selected. The estimated proportion of fully immunized children in Nigeria was 34.4% (95% confidence interval [CI]: 27.0-41.9), with South-south zone having the highest at 51.5% (95% CI: 20.5-82.6), and North-west the lowest at 9.5% (95% CI: 4.6-14.4). Mother's social engagements (OR=4.0, 95% CI: 1.9-8.1) and vaccines unavailability (OR=3.9, 95% CI: 1.2-12.3) were mostly reported for low coverage. Other leading determinants were vaccine safety concerns (OR=3.0, 95% CI: 0.9-9.4), mother's low education (OR=2.5, 95% CI: 1.8-3.6) and poor information (OR=2.0, 95% CI: 0.8-4.7)., Conclusion: Our study suggests a low coverage of childhood immunization in Nigeria. Due to the paucity of data in the Northern states, we are still uncertain of the quality of evidence presented. It is hoped that this study will prompt the needed research, public health and policy changes toward increased evenly-spread coverage of childhood immunization in the country., (Copyright © 2017 Elsevier Ltd. All rights reserved.)
Published: 2017
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42. The role of intervention mapping in designing disease prevention interventions: A systematic review of the literature.

Author: Garba RM and Gadanya MA
Subjects: Breast Neoplasms prevention & control, Candidiasis, Oral prevention & control, Female, HIV Infections prevention & control, Hepatitis prevention & control, Humans, Influenza, Human prevention & control, Male, Randomized Controlled Trials as Topic, Uterine Cervical Neoplasms prevention & control, Models, Theoretical
Abstract: Objective: To assess the role of Intervention Mapping (IM) in designing disease prevention interventions worldwide., Methods: Systematic search and review of the relevant literature-peer-reviewed and grey-was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines., Findings: Only five of the twenty two included studies reviewed were RCTs that compared intervention using IM protocol with placebo intervention, and provided the outcomes in terms of percentage increase in the uptake of disease-prevention programmes, and only one of the five studies provided an effect measure in the form of relative risk (RR = 1.59, 95% CI = 1.08-2.34, p = 0.02). Of the five RCTs, three were rated as strong evidences, one as a medium evidence and one as a weak evidence, and they all reported statistically significant difference between the two study groups, with disease prevention interventions that have used the intervention mapping approach generally reported significant increases in the uptake of disease-prevention interventions, ranging from 9% to 28.5% (0.0001 ≤ p ≤ 0.02), On the other hand, all the 22 studies have successfully identified the determinants of the uptake of disease prevention interventions that is essential to the success of disease prevention programmes., Conclusion: Intervention Mapping has been successfully used to plan, implement and evaluate interventions that showed significant increase in uptake of disease prevention programmes. This study has provided a good understanding of the role of intervention mapping in designing disease prevention interventions, and a good foundation upon which subsequent reviews can be guided.
Published: 2017
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43. High mortality among tuberculosis patients on treatment in Nigeria: a retrospective cohort study.

Author: Adamu AL, Gadanya MA, Abubakar IS, Jibo AM, Bello MM, Gajida AU, Babashani MM, and Abubakar I
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Delayed Diagnosis statistics & numerical data, Female, Follow-Up Studies, Health Services Accessibility statistics & numerical data, Humans, Male, Middle Aged, Nigeria epidemiology, Proportional Hazards Models, Retrospective Studies, Risk Factors, Treatment Outcome, Tuberculosis diagnosis, Tuberculosis drug therapy, Young Adult, Antitubercular Agents therapeutic use, Tuberculosis mortality
Abstract: Background: Tuberculosis (TB) remains a leading cause of death in much of sub-Saharan Africa despite available effective treatment. Prompt initiation of TB treatment and access to antiretroviral therapy (ART) remains vital to the success of TB control. We assessed time to mortality after treatment onset using data from a large treatment centre in Nigeria., Methods: We analysed a retrospective cohort of TB patients that commenced treatment between January 2010 and December 2014 in Aminu Kano Teaching Hospital. We estimated mortality rates per person-months at risk (pm). Cox proportional hazards model was used to determine risk factors for mortality., Results: Among 1,424 patients with a median age of 36.6 years, 237 patients (16.6%) died after commencing TB treatment giving a mortality rate of 3.68 per 100 pm of treatment in this cohort. Most deaths occurred soon after treatment onset with a mortality rate of 37.6 per 100 pm in the 1 st week of treatment. Risk factors for death were being HIV-positive but not on anti-retroviral treatment (ART) (aHR 1.39(1 · 04-1 · 85)), residence outside the city (aHR 3 · 18(2.28-4.45)), previous TB treatment (aHR 3.48(2.54-4.77)), no microbiological confirmation (aHR 4.96(2.69-9.17)), having both pulmonary and extra-pulmonary TB (aHR 1.45(1.03-2.02), and referral from a non-programme linked clinic/centre (aHR 3.02(2.01-4.53))., Conclusions: We attribute early deaths in this relatively young cohort to delay in diagnosis and treatment of TB, inadequate treatment of drug-resistant TB, and poor ART access. Considerable expansion and improvement in quality of diagnosis and treatment services for TB and HIV are needed to achieve the sustainable development goal of reducing TB deaths by 95% by 2035.
Published: 2017
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44. Adherence to Artemisinin-Based Combination Therapy for the Treatment of Uncomplicated Malaria: A Systematic Review and Meta-Analysis.

Author: Yakasai AM, Hamza M, Dalhat MM, Bello M, Gadanya MA, Yaqub ZM, Ibrahim DA, and Hassan-Hanga F
Abstract: Adherence to artemisinin-based combination therapy (ACT) is not clearly defined. This meta-analysis determines the prevalence and predictors of adherence to ACT. Twenty-five studies and six substudies met the inclusion criteria. The prevalence of ACT adherence in the public sector was significantly higher compared to retail sector (76% and 45%, resp., P < 0.0001). However, ACT adherence was similar across different ACT dosing regimens and formulations. In metaregression analysis prevalence estimates of adherence significantly decrease with increasing year of study publication (P = 0.046). Factors found to be significant predictors of ACT adherence were years of education ≥ 7 {odds ratio (OR) (95% CI) = 1.63 (1.05-2.53)}, higher income {2.0 (1.35-2.98)}, fatty food {4.6 (2.49-8.50)}, exact number of pills dispensed {4.09 (1.60-10.7)}, and belief in traditional medication for malaria {0.09 (0.01-0.78)}. The accuracy of pooled estimates could be limited by publication bias, and differing methods and thresholds of assessing adherence. To improve ACT adherence, educational programs to increase awareness and understanding of ACT dosing regimen are interventions urgently needed. Patients and caregivers should be provided with an adequate explanation at the time of prescribing and/or dispensing ACT.
Published: 2015
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45. An appraisal of current management of childhood urinary tract infections among private medical practitioners.

Author: Adeleke SI and Gadanya MA
Subjects: Adult, Female, Humans, Male, Middle Aged, Nigeria, Private Practice, Surveys and Questionnaires, Urinary Tract Infections complications, Urinary Tract Infections etiology, Anti-Infective Agents therapeutic use, Health Knowledge, Attitudes, Practice, Practice Patterns, Physicians' statistics & numerical data, Urinary Tract Infections drug therapy
Abstract: Background: Private medical practitioners manage substantial number of children with urinary tract infection in Nigeria. It is important to evaluate the management of urinary tract infection (UTI), because of complications that may arise form improper treatment., Methods: This study was conducted during the 10th Annual General and Scientific Conference of Guild of Medical Directors in Kano. Study populations were private medical practitioners. The research tools were self administered questionnaires containing questions to illicit knowledge, attitude and treatment regarding childhood UTI., Results: One hundred and twenty respondents returned their questionnaire. There were 98 (81.7%) males and 22 (18.2%) females. Twenty one (17.5%) had postgraduate qualification. Majority (87.5%) respondents preferred early morning and mid-stream urine for patients. Escherichia coli, Staphylococcus aureus and Proteus mirabilis were the commonest listed isolates. The knowledge of predisposing factors and complications following UTI was fair. Twenty-six percent would give chemoprophylaxis for repeat infections in females while only 7% would refer such patients to specialist. Reasons that warranted referral varied from inability to pay fees to the occurrence of complications in the course of therapy. Twenty-nine percent would use multiple therapy (antibiotics) because of the need to ensure adequate antimicrobial coverage, effective therapy and prevention of resistance and cost effectiveness. Ampicillin, Cotrimazole and Tetracycline featured as first line antibiotics among the respondents., Conclusion: Some practices are clearly at variance with recommendations. Continue medical education is recommended for bridging the gap between current practices, this will enhance patient's care.
Published: 2009

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