426 results on '"Javanbakht, M."'
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2. A Rare Case of Nasal myiasis following Kidney Transplantation.
- Author
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Rostami, Z., Nemati, E., Einollahi, B., Nikpoor, M., Roozpeykar, S., Pargar, A., and Javanbakht, M.
- Subjects
MYIASIS ,KIDNEY transplantation ,KIDNEYS ,INJURY risk factors ,DISEASE risk factors ,NASOENTERAL tubes - Abstract
In this case report, we present a 63-year-old man with a history of diabetes mellitus and kidney transplantation who was diagnosed with nasal myiasis. The patient presented with symptoms of nasal myiasis infestation, including epistaxis, nasal obstruction, nasal discharge, and the presence of larvae. The patient had risk factors for poor wound healing, such as hyperglycemia, and the presence of diabetes mellitus, hypertension, and kidney transplantation indicated the presence of predisposing factors for myiasis. The myiasis was observed subsequent to the traumatic insertion of a nasogastric tube. The patient exhibited symptoms of myiasis infestation in the nasal region, including epistaxis, nasal obstruction, and nasal discharge, along with the presence of larvae. Our findings highlight the occurrence of nasal myiasis in a patient with a complex medical history, and emphasize the need for clinicians to remain vigilant for this infection. Axial CT scan showed no mucosal thickening, and T1 weighted cervical MRI showed no abnormal signal intensity, except for spondylopathy and modic changes. Diffusion Weighted-MRI (DWI) revealed no abnormal signal in the brain parenchyma. Our findings suggest the importance of clinicians being vigilant for nasal myiasis in patients with predisposing risk factors, such as diabetes mellitus and kidney transplantation. Managing nasal myiasis can be challenging, particularly in patients with multiple conditions. The management of nasal myiasis can be challenging, particularly in patients with multiple comorbidities. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
3. Carbonate diagenesis in the Barremian-Aptian Tirgan Formation (Kopet-Dagh Basin, NE Iran): Petrographic, geochemical and reservoir quality constraints
- Author
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Javanbakht, M., Wanas, H.A., Jafarian, A., Shahsavan, N., and Sahraeyan, M.
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- 2018
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4. Influence of Pulse Operational Parameters on Electrodeposition, Morphology and Microstructure of Ni/nanodiamond Composite Coatings
- Author
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Sajjadnejad, M., Omidvar, H., and Javanbakht, M.
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- 2017
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5. Interaction of Phase Transformations and Plasticity at the Nanoscale: Phase Field Approach
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Levitas, V.I. and Javanbakht, M.
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- 2015
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6. Effects of L-carnitine supplementation on biomarkers of oxidative stress, antioxidant capacity and lipid profile, in patients with pemphigus vulgaris: a randomized, double-blind, placebo-controlled trial
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Mohammadi, H, Djalali, M, Daneshpazhooh, M, Honarvar, N M, Chams-Davatchi, C, Sepandar, F, Fakhri, Z, Yaghubi, E, Zarei, M, and Javanbakht, M H
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- 2018
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7. The dynamic analysis of the functionally graded piezoelectric (FGP) shell panel based on three-dimensional elasticity theory
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Javanbakht, M., Daneshmehr, A.R., Shakeri, M., and Nateghi, A.
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- 2012
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8. The analysis of functionally graded shallow and non-shallow shell panels with piezoelectric layers under dynamic load and electrostatic excitation based on elasticity
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Javanbakht, M., Shakeri, M., Sadeghi, S.N., and Daneshmehr, A.R.
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- 2011
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9. Modelling the cost-effectiveness of adopting risk-stratified approaches to extended screening intervals in the national diabetic retinopathy screening programme in Scotland
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Scotland, G., McKeigue, P., Philip, S., Leese, G. P., Olson, J. A., Looker, H. C., Colhoun, H. M., and Javanbakht, M.
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- 2016
- Full Text
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10. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study
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Global Burden of Disease Cancer Collaboration, Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A, Abdollahpour I, Abdulle ASM, Abebe ND, Abraha HN, Abu-Raddad LJ, Abualhasan A, Adedeji IA, Advani SM, Afarideh M, Afshari M, Aghaali M, Agius D, Agrawal S, Ahmadi A, Ahmadian E, Ahmadpour E, Ahmed MB, Akbari ME, Akinyemiju T, Al-Aly Z, AlAbdulKader AM, Alahdab F, Alam T, Alamene GM, Alemnew BTT, Alene KA, Alinia C, Alipour V, Aljunid SM, Bakeshei FA, Almadi MAH, Almasi-Hashiani A, Alsharif U, Alsowaidi S, Alvis-Guzman N, Amini E, Amini S, Amoako YA, Anbari Z, Anber NH, Andrei CL, Anjomshoa M, Ansari F, Ansariadi A, Appiah SCY, Arab-Zozani M, Arabloo J, Arefi Z, Aremu O, Areri HA, Artaman A, Asayesh H, Asfaw ET, Ashagre AF, Assadi R, Ataeinia B, Atalay HT, Ataro Z, Atique S, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayanore MA, Ayele HT, Babaee E, Bacha U, Badawi A, Bagherzadeh M, Bagli E, Balakrishnan S, Balouchi A, Bärnighausen TW, Battista RJ, Behzadifar M, Bekele BB, Belay YB, Belayneh YM, Berfield KKS, Berhane A, Bernabe E, Beuran M, Bhakta N, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Birungi C, Bisignano C, Bitew H, Bjørge T, Bleyer A, Bogale KA, Bojia HA, Borzì AM, Bosetti C, Bou-Orm IR, Brenner H, Brewer JD, Briko AN, Briko NI, Bustamante-Teixeira MT, Butt ZA, Carreras G, Carrero JJ, Carvalho F, Castro C, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chanie WF, Chattu VK, Chaturvedi P, Chauhan NS, Chehrazi M, Chiang PP, Chichiabellu TY, Chido-Amajuoyi OG, Chimed-Ochir O, Choi JJ, Christopher DJ, Chu DT, Constantin MM, Costa VM, Crocetti E, Crowe CS, Curado MP, Dahlawi SMA, Damiani G, Darwish AH, Daryani A, das Neves J, Demeke FM, Demis AB, Demissie BW, Demoz GT, Denova-Gutiérrez E, Derakhshani A, Deribe KS, Desai R, Desalegn BB, Desta M, Dey S, Dharmaratne SD, Dhimal M, Diaz D, Dinberu MTT, Djalalinia S, Doku DT, Drake TM, Dubey M, Dubljanin E, Duken EE, Ebrahimi H, Effiong A, Eftekhari A, El Sayed I, Zaki MES, El-Jaafary SI, El-Khatib Z, Elemineh DA, Elkout H, Ellenbogen RG, Elsharkawy A, Emamian MH, Endalew DA, Endries AY, Eshrati B, Fadhil I, Fallah V, Faramarzi M, Farhangi MA, Farioli A, Farzadfar F, Fentahun N, Fernandes E, Feyissa GT, Filip I, Fischer F, Fisher JL, Force LM, Foroutan M, Freitas M, Fukumoto T, Futran ND, Gallus S, Gankpe FG, Gayesa RT, Gebrehiwot TT, Gebremeskel GG, Gedefaw GA, Gelaw BK, Geta B, Getachew S, Gezae KE, Ghafourifard M, Ghajar A, Ghashghaee A, Gholamian A, Gill PS, Ginindza TTG, Girmay A, Gizaw M, Gomez RS, Gopalani SV, Gorini G, Goulart BNG, Grada A, Ribeiro Guerra M, Guimaraes ALS, Gupta PC, Gupta R, Hadkhale K, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Hanfore LK, Haro JM, Hasankhani M, Hasanzadeh A, Hassen HY, Hay RJ, Hay SI, Henok A, Henry NJ, Herteliu C, Hidru HD, Hoang CL, Hole MK, Hoogar P, Horita N, Hosgood HD, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hussen MM, Ileanu B, Ilic MD, Innos K, Irvani SSN, Iseh KR, Islam SMS, Islami F, Jafari Balalami N, Jafarinia M, Jahangiry L, Jahani MA, Jahanmehr N, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jee SH, Jenabi E, Jha RP, Jonas JB, Jonnagaddala J, Joo T, Jungari SB, Jürisson M, Kabir A, Kamangar F, Karch A, Karimi N, Karimian A, Kasaeian A, Kasahun GG, Kassa B, Kassa TD, Kassaw MW, Kaul A, Keiyoro PN, Kelbore AG, Kerbo AA, Khader YS, Khalilarjmandi M, Khan EA, Khan G, Khang YH, Khatab K, Khater A, Khayamzadeh M, Khazaee-Pool M, Khazaei S, Khoja AT, Khosravi MH, Khubchandani J, Kianipour N, Kim D, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Komaki H, Koyanagi A, Krohn KJ, Bicer BK, Kugbey N, Kumar V, Kuupiel D, La Vecchia C, Lad DP, Lake EA, Lakew AM, Lal DK, Lami FH, Lan Q, Lasrado S, Lauriola P, Lazarus JV, Leigh J, Leshargie CT, Liao Y, Limenih MA, Listl S, Lopez AD, Lopukhov PD, Lunevicius R, Madadin M, Magdeldin S, El Razek HMA, Majeed A, Maleki A, Malekzadeh R, Manafi A, Manafi N, Manamo WA, Mansourian M, Mansournia MA, Mantovani LG, Maroufizadeh S, Martini SMS, Mashamba-Thompson TP, Massenburg BB, Maswabi MT, Mathur MR, McAlinden C, McKee M, Meheretu HAA, Mehrotra R, Mehta V, Meier T, Melaku YA, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Mendoza W, Menezes RG, Merat S, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Mihretie KMM, Miller TR, Mills EJ, Mir SM, Mirzaei H, Mirzaei HR, Mishra R, Moazen B, Mohammad DK, Mohammad KA, Mohammad Y, Darwesh AM, Mohammadbeigi A, Mohammadi H, Mohammadi M, Mohammadian M, Mohammadian-Hafshejani A, Mohammadoo-Khorasani M, Mohammadpourhodki R, Mohammed AS, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moosazadeh M, Moossavi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moradpour F, Morawska L, Morgado-da-Costa J, Morisaki N, Morrison SD, Mosapour A, Mousavi SM, Muche AA, Muhammed OSS, Musa J, Nabhan AR, Naderi M, Nagarajan AJ, Nagel G, Nahvijou A, Naik G, Najafi F, Naldi L, Nam HS, Nasiri N, Nazari J, Negoi I, Neupane S, Newcomb PA, Nggada HA, Ngunjiri JW, Nguyen CT, Nikniaz L, Ningrum DNA, Nirayo YL, Nixon MR, Nnaji CA, Nojomi M, Nosratnejad S, Shiadeh MN, Obsa MS, Ofori-Asenso R, Ogbo FA, Oh IH, Olagunju AT, Olagunju TO, Oluwasanu MM, Omonisi AE, Onwujekwe OE, Oommen AM, Oren E, Ortega-Altamirano DDV, Ota E, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakpour AH, Pana A, Park EK, Parsian H, Pashaei T, Patel S, Patil ST, Pennini A, Pereira DM, Piccinelli C, Pillay JD, Pirestani M, Pishgar F, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Prakash S, Prasad N, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi M, Rahman MA, Rajati F, Rana SM, Raoofi S, Rath GK, Rawaf DL, Rawaf S, Reiner RC, Renzaho AMN, Rezaei N, Rezapour A, Ribeiro AI, Ribeiro D, Ronfani L, Roro EM, Roshandel G, Rostami A, Saad RS, Sabbagh P, Sabour S, Saddik B, Safiri S, Sahebkar A, Salahshoor MR, Salehi F, Salem H, Salem MR, Salimzadeh H, Salomon JA, Samy AM, Sanabria J, Santric Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Satpathy M, Savic M, Sawhney M, Sayyah M, Schneider IJC, Schöttker B, Sekerija M, Sepanlou SG, Sepehrimanesh M, Seyedmousavi S, Shaahmadi F, Shabaninejad H, Shahbaz M, Shaikh MA, Shamshirian A, Shamsizadeh M, Sharafi H, Sharafi Z, Sharif M, Sharifi A, Sharifi H, Sharma R, Sheikh A, Shirkoohi R, Shukla SR, Si S, Siabani S, Silva DAS, Silveira DGA, Singh A, Singh JA, Sisay S, Sitas F, Sobngwi E, Soofi M, Soriano JB, Stathopoulou V, Sufiyan MB, Tabarés-Seisdedos R, Tabuchi T, Takahashi K, Tamtaji OR, Tarawneh MR, Tassew SG, Taymoori P, Tehrani-Banihashemi A, Temsah MH, Temsah O, Tesfay BE, Tesfay FH, Teshale MY, Tessema GA, Thapa S, Tlaye KG, Topor-Madry R, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tsadik AG, Ullah I, Uthman OA, Vacante M, Vaezi M, Varona Pérez P, Veisani Y, Vidale S, Violante FS, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vu GT, Vujcic IS, Wabinga H, Wachamo TM, Wagnew FS, Waheed Y, Weldegebreal F, Weldesamuel GT, Wijeratne T, Wondafrash DZ, Wonde TE, Wondmieneh AB, Workie HM, Yadav R, Yadegar A, Yadollahpour A, Yaseri M, Yazdi-Feyzabadi V, Yeshaneh A, Yimam MA, Yimer EM, Yisma E, Yonemoto N, Younis MZ, Yousefi B, Yousefifard M, Yu C, Zabeh E, Zadnik V, Moghadam TZ, Zaidi Z, Zamani M, Zandian H, Zangeneh A, Zaki L, Zendehdel K, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Murray CJL, Fitzmaurice C., Abate D., Abbasi N., Abbastabar H., Abd-Allah F., Abdel-Rahman O., Abdelalim A., Abdoli A., Abdollahpour I., Abdulle A.S.M., Abebe N.D., Abraha H.N., Abu-Raddad L.J., Abualhasan A., Adedeji I.A., Advani S.M., Afarideh M., Afshari M., Aghaali M., Agius D., Agrawal S., Ahmadi A., Ahmadian E., Ahmadpour E., Ahmed M.B., Akbari M.E., Akinyemiju T., Al-Aly Z., Alabdulkader A.M., Alahdab F., Alam T., Alamene G.M., Alemnew B.T.T., Alene K.A., Alinia C., Alipour V., Aljunid S.M., Bakeshei F.A., Almadi M.A.H., Almasi-Hashiani A., Alsharif U., Alsowaidi S., Alvis-Guzman N., Amini E., Amini S., Amoako Y.A., Anbari Z., Anber N.H., Andrei C.L., Anjomshoa M., Ansari F., Ansariadi A., Appiah S.C.Y., Arab-Zozani M., Arabloo J., Arefi Z., Aremu O., Areri H.A., Artaman A., Asayesh H., Asfaw E.T., Ashagre A.F., Assadi R., Ataeinia B., Atalay H.T., Ataro Z., Atique S., Ausloos M., Avila-Burgos L., Avokpaho E.F.G.A., Awasthi A., Awoke N., Ayala Quintanilla B.P., Ayanore M.A., Ayele H.T., Babaee E., Bacha U., Badawi A., Bagherzadeh M., Bagli E., Balakrishnan S., Balouchi A., Barnighausen T.W., Battista R.J., Behzadifar M., Bekele B.B., Belay Y.B., Belayneh Y.M., Berfield K.K.S., Berhane A., Bernabe E., Beuran M., Bhakta N., Bhattacharyya K., Biadgo B., Bijani A., Bin Sayeed M.S., Birungi C., Bisignano C., Bitew H., Bjorge T., Bleyer A., Bogale K.A., Bojia H.A., Borzi A.M., Bosetti C., Bou-Orm I.R., Brenner H., Brewer J.D., Briko A.N., Briko N.I., Bustamante-Teixeira M.T., Butt Z.A., Carreras G., Carrero J.J., Carvalho F., Castro C., Castro F., Catala-Lopez F., Cerin E., Chaiah Y., Chanie W.F., Chattu V.K., Chaturvedi P., Chauhan N.S., Chehrazi M., Chiang P.P.-C., Chichiabellu T.Y., Chido-Amajuoyi O.G., Chimed-Ochir O., Choi J.-Y.J., Christopher D.J., Chu D.-T., Constantin M.-M., Costa V.M., Crocetti E., Crowe C.S., Curado M.P., Dahlawi S.M.A., Damiani G., Darwish A.H., Daryani A., Das Neves J., Demeke F.M., Demis A.B., Demissie B.W., Demoz G.T., Denova-Gutierrez E., Derakhshani A., Deribe K.S., Desai R., Desalegn B.B., Desta M., Dey S., Dharmaratne S.D., Dhimal M., Diaz D., Dinberu M.T.T., Djalalinia S., Doku D.T., Drake T.M., Dubey M., Dubljanin E., Duken E.E., Ebrahimi H., Effiong A., Eftekhari A., El Sayed I., Zaki M.E.S., El-Jaafary S.I., El-Khatib Z., Elemineh D.A., Elkout H., Ellenbogen R.G., Elsharkawy A., Emamian M.H., Endalew D.A., Endries A.Y., Eshrati B., Fadhil I., Fallah V., Faramarzi M., Farhangi M.A., Farioli A., Farzadfar F., Fentahun N., Fernandes E., Feyissa G.T., Filip I., Fischer F., Fisher J.L., Force L.M., Foroutan M., Freitas M., Fukumoto T., Futran N.D., Gallus S., Gankpe F.G., Gayesa R.T., Gebrehiwot T.T., Gebremeskel G.G., Gedefaw G.A., Gelaw B.K., Geta B., Getachew S., Gezae K.E., Ghafourifard M., Ghajar A., Ghashghaee A., Gholamian A., Gill P.S., Ginindza T.T.G., Girmay A., Gizaw M., Gomez R.S., Gopalani S.V., Gorini G., Goulart B.N.G., Grada A., Ribeiro Guerra M., Guimaraes A.L.S., Gupta P.C., Gupta R., Hadkhale K., Haj-Mirzaian A., Hamadeh R.R., Hamidi S., Hanfore L.K., Haro J.M., Hasankhani M., Hasanzadeh A., Hassen H.Y., Hay R.J., Hay S.I., Henok A., Henry N.J., Herteliu C., Hidru H.D., Hoang C.L., Hole M.K., Hoogar P., Horita N., Hosgood H.D., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Hussen M.M., Ileanu B., Ilic M.D., Innos K., Irvani S.S.N., Iseh K.R., Islam S.M.S., Islami F., Jafari Balalami N., Jafarinia M., Jahangiry L., Jahani M.A., Jahanmehr N., Jakovljevic M., James S.L., Javanbakht M., Jayaraman S., Jee S.H., Jenabi E., Jha R.P., Jonas J.B., Jonnagaddala J., Joo T., Jungari S.B., Jurisson M., Kabir A., Kamangar F., Karch A., Karimi N., Karimian A., Kasaeian A., Kasahun G.G., Kassa B., Kassa T.D., Kassaw M.W., Kaul A., Keiyoro P.N., Kelbore A.G., Kerbo A.A., Khader Y.S., Khalilarjmandi M., Khan E.A., Khan G., Khang Y.-H., Khatab K., Khater A., Khayamzadeh M., Khazaee-Pool M., Khazaei S., Khoja A.T., Khosravi M.H., Khubchandani J., Kianipour N., Kim D., Kim Y.J., Kisa A., Kisa S., Kissimova-Skarbek K., Komaki H., Koyanagi A., Krohn K.J., Bicer B.K., Kugbey N., Kumar V., Kuupiel D., La Vecchia C., Lad D.P., Lake E.A., Lakew A.M., Lal D.K., Lami F.H., Lan Q., Lasrado S., Lauriola P., Lazarus J.V., Leigh J., Leshargie C.T., Liao Y., Limenih M.A., Listl S., Lopez A.D., Lopukhov P.D., Lunevicius R., Madadin M., Magdeldin S., El Razek H.M.A., Majeed A., Maleki A., Malekzadeh R., Manafi A., Manafi N., Manamo W.A., Mansourian M., Mansournia M.A., Mantovani L.G., Maroufizadeh S., Martini S.M.S., Mashamba-Thompson T.P., Massenburg B.B., Maswabi M.T., Mathur M.R., McAlinden C., McKee M., Meheretu H.A.A., Mehrotra R., Mehta V., Meier T., Melaku Y.A., Meles G.G., Meles H.G., Melese A., Melku M., Memiah P.T.N., Mendoza W., Menezes R.G., Merat S., Meretoja T.J., Mestrovic T., Miazgowski B., Miazgowski T., Mihretie K.M.M., Miller T.R., Mills E.J., Mir S.M., Mirzaei H., Mirzaei H.R., Mishra R., Moazen B., Mohammad D.K., Mohammad K.A., Mohammad Y., Darwesh A.M., Mohammadbeigi A., Mohammadi H., Mohammadi M., Mohammadian M., Mohammadian-Hafshejani A., Mohammadoo-Khorasani M., Mohammadpourhodki R., Mohammed A.S., Mohammed J.A., Mohammed S., Mohebi F., Mokdad A.H., Monasta L., Moodley Y., Moosazadeh M., Moossavi M., Moradi G., Moradi-Joo M., Moradi-Lakeh M., Moradpour F., Morawska L., Morgado-Da-costa J., Morisaki N., Morrison S.D., Mosapour A., Mousavi S.M., Muche A.A., Muhammed O.S.S., Musa J., Nabhan A.R., Naderi M., Nagarajan A.J., Nagel G., Nahvijou A., Naik G., Najafi F., Naldi L., Nam H.S., Nasiri N., Nazari J., Negoi I., Neupane S., Newcomb P.A., Nggada H.A., Ngunjiri J.W., Nguyen C.T., Nikniaz L., Ningrum D.N.A., Nirayo Y.L., Nixon M.R., Nnaji C.A., Nojomi M., Nosratnejad S., Shiadeh M.N., Obsa M.S., Ofori-Asenso R., Ogbo F.A., Oh I.-H., Olagunju A.T., Olagunju T.O., Oluwasanu M.M., Omonisi A.E., Onwujekwe O.E., Oommen A.M., Oren E., Ortega-Altamirano D.D.V., Ota E., Otstavnov S.S., Owolabi M.O., P A M., Padubidri J.R., Pakhale S., Pakpour A.H., Pana A., Park E.-K., Parsian H., Pashaei T., Patel S., Patil S.T., Pennini A., Pereira D.M., Piccinelli C., Pillay J.D., Pirestani M., Pishgar F., Postma M.J., Pourjafar H., Pourmalek F., Pourshams A., Prakash S., Prasad N., Qorbani M., Rabiee M., Rabiee N., Radfar A., Rafiei A., Rahim F., Rahimi M., Rahman M.A., Rajati F., Rana S.M., Raoofi S., Rath G.K., Rawaf D.L., Rawaf S., Reiner R.C., Renzaho A.M.N., Rezaei N., Rezapour A., Ribeiro A.I., Ribeiro D., Ronfani L., Roro E.M., Roshandel G., Rostami A., Saad R.S., Sabbagh P., Sabour S., Saddik B., Safiri S., Sahebkar A., Salahshoor M.R., Salehi F., Salem H., Salem M.R., Salimzadeh H., Salomon J.A., Samy A.M., Sanabria J., Santric Milicevic M.M., Sartorius B., Sarveazad A., Sathian B., Satpathy M., Savic M., Sawhney M., Sayyah M., Schneider I.J.C., Schottker B., Sekerija M., Sepanlou S.G., Sepehrimanesh M., Seyedmousavi S., Shaahmadi F., Shabaninejad H., Shahbaz M., Shaikh M.A., Shamshirian A., Shamsizadeh M., Sharafi H., Sharafi Z., Sharif M., Sharifi A., Sharifi H., Sharma R., Sheikh A., Shirkoohi R., Shukla S.R., Si S., Siabani S., Silva D.A.S., Silveira D.G.A., Singh A., Singh J.A., Sisay S., Sitas F., Sobngwi E., Soofi M., Soriano J.B., Stathopoulou V., Sufiyan M.B., Tabares-Seisdedos R., Tabuchi T., Takahashi K., Tamtaji O.R., Tarawneh M.R., Tassew S.G., Taymoori P., Tehrani-Banihashemi A., Temsah M.-H., Temsah O., Tesfay B.E., Tesfay F.H., Teshale M.Y., Tessema G.A., Thapa S., Tlaye K.G., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Tran K.B., Tsadik A.G., Ullah I., Uthman O.A., Vacante M., Vaezi M., Varona Perez P., Veisani Y., 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Violante, F, Vlassov, V, Vollset, S, Vos, T, Vosoughi, K, Vu, G, Vujcic, I, Wabinga, H, Wachamo, T, Wagnew, F, Waheed, Y, Weldegebreal, F, Weldesamuel, G, Wijeratne, T, Wondafrash, D, Wonde, T, Wondmieneh, A, Workie, H, Yadav, R, Yadegar, A, Yadollahpour, A, Yaseri, M, Yazdi-Feyzabadi, V, Yeshaneh, A, Yimam, M, Yimer, E, Yisma, E, Yonemoto, N, Younis, M, Yousefi, B, Yousefifard, M, Yu, C, Zabeh, E, Zadnik, V, Moghadam, T, Zaidi, Z, Zamani, M, Zandian, H, Zangeneh, A, Zaki, L, Zendehdel, K, Zenebe, Z, Zewale, T, Ziapour, A, Zodpey, S, Murray, C, Fitzmaurice, Christina, Abate, Degu, Abbasi, Naghmeh, Abbastabar, Hedayat, Yisma, Engida, Murray, Christopher JL, and Global Burden of Disease Cancer Collaboration
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Cancer Research ,age distribution ,cancer incidence ,Colorectal cancer ,GBD, DALY ,cancer risk ,Global Health ,Global Burden of Disease ,disease burden ,cause of death ,trachea cancer ,0302 clinical medicine ,systematic review ,Neoplasms ,quality adjusted life year ,11. Sustainability ,Epidemiology ,cancer mortality ,030212 general & internal medicine ,years of life lost ,Stomach cancer ,fertility ,disabled person ,stomach cancer ,disability-adjusted life year ,nonhodgkin lymphoma ,Incidence ,1. No poverty ,prostate cancer ,3. Good health ,income ,Oncology ,risk factor ,030220 oncology & carcinogenesis ,bladder cancer ,Quality-Adjusted Life Years ,medicine.medical_specialty ,sex difference ,3122 Cancers ,colorectal cancer ,bronchus cancer ,Article ,educational status ,Causes of cancer ,liver cancer ,03 medical and health sciences ,Breast cancer ,breast cancer ,Environmental health ,geographic distribution ,medicine ,Humans ,Disabled Persons ,human ,business.industry ,Correction ,Cancer ,non melanoma skin cancer ,medicine.disease ,years lived with disability ,lung cancer ,Years of potential life lost ,Skin cancer ,global disease burden ,business ,neoplasm ,RC ,uterine cervix cancer - Abstract
Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.
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- 2019
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11. Evaluation of antioxidant enzyme activity and antioxidant capacity in patients with newly diagnosed pemphigus vulgaris
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Javanbakht, M. H., Djalali, M., Daneshpazhooh, M., Zarei, M., Eshraghian, M. R., Derakhshanian, H., and Chams-Davatchi, C.
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- 2015
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12. Depositional history and sequence stratigraphy of Tirgan formation (Barremian-Aptian) in central Kopet Dagh, NE Iran
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Javanbakht, M., Ghazi, S., Moussavi-Harami, R., and Mahboubi, A.
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- 2013
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13. Effect of diet-induced weight loss on inflammatory cytokines in obese women
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Tajik, N., Keshavarz, S. A., Masoudkabir, F., Djalali, M., Sadrzadeh-Yeganeh, H. Hale, Eshraghian, M. R., Chamary, M., Ahmadivand, Z., Yazdani, T., and Javanbakht, M. H.
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- 2013
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14. Optimum Design of an Adaptive Fuzzy Controller as Active Suspension for a Quarter-Car Model.
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Mahmoodabadi, M. J. and Javanbakht, M.
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SEARCH algorithms , *FUZZY systems , *MEMBERSHIP functions (Fuzzy logic) , *GAUSSIAN function , *ADAPTIVE control systems - Abstract
This research introduces an optimal adaptive fuzzy controller consisting of two fuzzy systems each including 1 output, 2 inputs, and 25 fuzzy rules. The designed fuzzy sytems, in turn, comprises Gaussian membership functions and applies the singleton fuzzifier, center average defuzzifier, and product inference engine. Moreover, the Gravitational Search Algorithm (GSA) is utilized to ascertain the optimum parameters of the controller. The body acceleration and the relative displacement between the tire and the sprung mass are utilized to form a proper objective function in the optimization procedure. Results show the dominance of the proposed approach over the conventional controllers. [ABSTRACT FROM AUTHOR]
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- 2022
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15. EE506 Targeted Intraoperative Radiation Therapy As an Adjuvant to Surgery for the Treatment of Breast Cancer in England: A UK-Based Cost-Effectiveness Analysis of Intrabeam
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Moloney, E., Mashayekhi, A., and Javanbakht, M.
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- 2023
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16. EE349 A Systematic Literature Review, Network Meta-Analysis, and Cost-Effectiveness Analysis of Resmetirom for the Treatment of Nonalcoholic Steatohepatitis
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Ansaripour, A., Fishman, J., Bowes, K., Brown, A., Nasserinejad, K., Javanbakht, M., and Ahmadizar, F.
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- 2023
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17. EE227 The Impact of Treatment-Related Changes in Lipids on the Cost-Effectiveness of Resmetirom and Obeticholic Acid for Treatment of Nonalcoholic Steatohepatitis
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Ansaripour, A., Fishman, J., Moloney, E., and Javanbakht, M.
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- 2023
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18. O1-S07.03 Prevalence and correlates of rectal chlamydia and gonorrhoea among female STD clinic clients
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Javanbakht, M, Guerry, S, Stirland, A, Gorbach, P, and Kerndt, P
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- 2011
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19. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-Adjusted life-years for 29 cancer groups, 1990 to 2017: A systematic analysis for the global burden of disease study
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Fitzmaurice, C. Abate, D. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdel-Rahman, O. Abdelalim, A. Abdoli, A. Abdollahpour, I. Abdulle, A.S.M. Abebe, N.D. Abraha, H.N. Abu-Raddad, L.J. Abualhasan, A. Adedeji, I.A. Advani, S.M. Afarideh, M. Afshari, M. Aghaali, M. Agius, D. Agrawal, S. Ahmadi, A. Ahmadian, E. Ahmadpour, E. Ahmed, M.B. Akbari, M.E. Akinyemiju, T. Al-Aly, Z. Alabdulkader, A.M. Alahdab, F. Alam, T. Alamene, G.M. Alemnew, B.T.T. Alene, K.A. Alinia, C. Alipour, V. Aljunid, S.M. Bakeshei, F.A. Almadi, M.A.H. Almasi-Hashiani, A. Alsharif, U. Alsowaidi, S. Alvis-Guzman, N. Amini, E. Amini, S. Amoako, Y.A. Anbari, Z. Anber, N.H. Andrei, C.L. Anjomshoa, M. Ansari, F. Ansariadi, A. Appiah, S.C.Y. Arab-Zozani, M. Arabloo, J. Arefi, Z. Aremu, O. Areri, H.A. Artaman, A. Asayesh, H. Asfaw, E.T. Ashagre, A.F. Assadi, R. Ataeinia, B. Atalay, H.T. Ataro, Z. Atique, S. Ausloos, M. Avila-Burgos, L. Avokpaho, E.F.G.A. Awasthi, A. Awoke, N. Ayala Quintanilla, B.P. Ayanore, M.A. Ayele, H.T. Babaee, E. Bacha, U. Badawi, A. Bagherzadeh, M. Bagli, E. Balakrishnan, S. Balouchi, A. Barnighausen, T.W. Battista, R.J. Behzadifar, M. Behzadifar, M. Bekele, B.B. Belay, Y.B. Belayneh, Y.M. Berfield, K.K.S. Berhane, A. Bernabe, E. Beuran, M. Bhakta, N. Bhattacharyya, K. Biadgo, B. Bijani, A. Bin Sayeed, M.S. Birungi, C. Bisignano, C. Bitew, H. Bjorge, T. Bleyer, A. Bogale, K.A. Bojia, H.A. Borzi, A.M. Bosetti, C. Bou-Orm, I.R. Brenner, H. Brewer, J.D. Briko, A.N. Briko, N.I. Bustamante-Teixeira, M.T. Butt, Z.A. Carreras, G. Carrero, J.J. Carvalho, F. Castro, C. Castro, F. Catala-Lopez, F. Cerin, E. Chaiah, Y. Chanie, W.F. Chattu, V.K. Chaturvedi, P. Chauhan, N.S. Chehrazi, M. Chiang, P.P.-C. Chichiabellu, T.Y. Chido-Amajuoyi, O.G. Chimed-Ochir, O. Choi, J.-Y.J. Christopher, D.J. Chu, D.-T. Constantin, M.-M. Costa, V.M. Crocetti, E. Crowe, C.S. Curado, M.P. Dahlawi, S.M.A. Damiani, G. Darwish, A.H. Daryani, A. Das Neves, J. Demeke, F.M. Demis, A.B. Demissie, B.W. Demoz, G.T. 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Shahbaz, M. Shaikh, M.A. Shamshirian, A. Shamsizadeh, M. Sharafi, H. Sharafi, Z. Sharif, M. Sharifi, A. Sharifi, H. Sharma, R. Sheikh, A. Shirkoohi, R. Shukla, S.R. Si, S. Siabani, S. Silva, D.A.S. Silveira, D.G.A. Singh, A. Singh, J.A. Sisay, S. Sitas, F. Sobngwi, E. Soofi, M. Soriano, J.B. Stathopoulou, V. Sufiyan, M.B. Tabares-Seisdedos, R. Tabuchi, T. Takahashi, K. Tamtaji, O.R. Tarawneh, M.R. Tassew, S.G. Taymoori, P. Tehrani-Banihashemi, A. Temsah, M.-H. Temsah, O. Tesfay, B.E. Tesfay, F.H. Teshale, M.Y. Tessema, G.A. Thapa, S. Tlaye, K.G. Topor-Madry, R. Tovani-Palone, M.R. Traini, E. Tran, B.X. Tran, K.B. Tsadik, A.G. Ullah, I. Uthman, O.A. Vacante, M. Vaezi, M. Varona Perez, P. Veisani, Y. Vidale, S. Violante, F.S. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vu, G.T. Vujcic, I.S. Wabinga, H. Wachamo, T.M. Wagnew, F.S. Waheed, Y. Weldegebreal, F. Weldesamuel, G.T. Wijeratne, T. Wondafrash, D.Z. Wonde, T.E. Wondmieneh, A.B. Workie, H.M. Yadav, R. Yadegar, A. Yadollahpour, A. Yaseri, M. Yazdi-Feyzabadi, V. Yeshaneh, A. Yimam, M.A. Yimer, E.M. Yisma, E. Yonemoto, N. Younis, M.Z. Yousefi, B. Yousefifard, M. Yu, C. Zabeh, E. Zadnik, V. Moghadam, T.Z. Zaidi, Z. Zamani, M. Zandian, H. Zangeneh, A. Zaki, L. Zendehdel, K. Zenebe, Z.M. Zewale, T.A. Ziapour, A. Zodpey, S. Murray, C.J.L. Global Burden of Disease Cancer Collaboration
- Abstract
Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.
- Published
- 2019
20. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
- Author
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Mondello, S. Moodley, Y. Moosazadeh, M. Moradi, G. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Moreno Velásquez, I. Morrison, S.D. Mousavi, S.M. Muhammed, O.S. Muruet, W. Musa, K.I. Mustafa, G. Naderi, M. Nagel, G. Naheed, A. Naik, G. Najafi, F. Nangia, V. Negoi, I. Negoi, R.I. Newton, C.R.J. Ngunjiri, J.W. Nguyen, C.T. Nguyen, L.H. Ningrum, D.N.A. Nirayo, Y.L. Nixon, M.R. Norrving, B. Noubiap, J.J. Nourollahpour Shiadeh, M. Nyasulu, P.S. Ogbo, F.A. Oh, I.-H. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Onwujekwe, O.E. Oren, E. Owolabi, M.O. A, M.P. Pakpour, A.H. Pan, W.-H. Panda-Jonas, S. Pandian, J.D. Patel, S.K. Pereira, D.M. Petzold, M. Pillay, J.D. Piradov, M.A. Polanczyk, G.V. Polinder, S. Postma, M.J. Poulton, R. Poustchi, H. Prakash, S. Prakash, V. Qorbani, M. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi-Movaghar, V. Rahman, M. Rahman, M.H.U. Rahman, M.A. Rajati, F. Ram, U. Ranta, A. Rawaf, D.L. Rawaf, S. Reinig, N. Reis, C. Renzaho, A.M.N. Resnikoff, S. Rezaeian, S. Rezai, M.S. Rios González, C.M. Roberts, N.L.S. Roever, L. Ronfani, L. Roro, E.M. Roshandel, G. Rostami, A. Sabbagh, P. Sacco, R.L. Sachdev, P.S. Saddik, B. Safari, H. Safari-Faramani, R. Safi, S. Safiri, S. Sagar, R. Sahathevan, R. Sahebkar, A. Sahraian, M.A. Salamati, P. Salehi Zahabi, S. Salimi, Y. Samy, A.M. Sanabria, J. Santos, I.S. Santric Milicevic, M.M. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Schneider, I.J.C. Schöttker, B. Schwebel, D.C. Seedat, S. Sepanlou, S.G. Shabaninejad, H. Shafieesabet, A. Shaikh, M.A. Shakir, R.A. Shams-Beyranvand, M. Shamsizadeh, M. Sharif, M. Sharif-Alhoseini, M. She, J. Sheikh, A. Sheth, K.N. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Siabani, S. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silberberg, D.H. Silva, J.P. Silveira, D.G.A. Singh, J.A. Sinha, D.N. Skiadaresi, E. Smith, M. Sobaih, B.H. Sobhani, S. Soofi, M. Soyiri, I.N. Sposato, L.A. Stein, D.J. Stein, M.B. Stokes, M.A. Sufiyan, M.B. Sykes, B.L. Sylaja, P. Tabarés-Seisdedos, R. Te Ao, B.J. Tehrani-Banihashemi, A. Temsah, M.-H. Temsah, O. Thakur, J.S. Thrift, A.G. Topor-Madry, R. Tortajada-Girbés, M. Tovani-Palone, M.R. Tran, B.X. Tran, K.B. Truelsen, T.C. Tsadik, A.G. Tudor Car, L. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Valdez, P.R. Vasankari, T.J. Vasanthan, R. Veisani, Y. Venketasubramanian, N. Violante, F.S. Vlassov, V. Vosoughi, K. Vu, G.T. Vujcic, I.S. Wagnew, F.S. Waheed, Y. Wang, Y.-P. Weiderpass, E. Weiss, J. Whiteford, H.A. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Xu, G. Yadollahpour, A. Yamada, T. Yano, Y. Yaseri, M. Yatsuya, H. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yousefifard, M. Yu, C. Zaidi, Z. Zaman, S.B. Zamani, M. Zandian, H. Zare, Z. Zhang, Y. Zodpey, S. Naghavi, M. Murray, C.J.L. Vos, T. GBD 2016 Neurology Collaborators
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Background: Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. Methods: We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. Findings: Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247–308]) and second leading cause of deaths (9·0 million [8·8–9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34–44] and DALYs by 15% [9–21]) whereas their age-standardised rates decreased (deaths by 28% [26–30] and DALYs by 27% [24–31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6–46·1]), migraine (16·3% [11·7–20·8]), Alzheimer's and other dementias (10·4% [9·0–12·1]), and meningitis (7·9% [6·6–10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05–1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5–90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8–35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8–17·5] of DALYs are risk attributable). Interpretation: Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies. Funding: Bill & Melinda Gates Foundation. © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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- 2019
21. EE313 Cost-Effectiveness Analysis of Resmetirom: An Investigational Treatment for the Management of Nonalcoholic Steatohepatitis
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Javanbakht, M, Fishman, J, Moloney, E, Rydqvist, P, and Ansaripour, A
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- 2022
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22. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
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Feigin, VL, Abajobir, AA, Abate, KH, Abd-Allah, F, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, AT, Ansari, H, Anwari, P, Arnlov, J, Asayesh, H, Asgedom, SW, Atey, TM, Avila-Burgos, L, Avokpaho, EFGA, Azarpazhooh, MR, Barac, A, Barboza, M, Barker-Collo, SL, Baernighausen, T, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Berhane, A, Betsu, BD, Bhaumik, S, Birlik, SM, Biryukov, S, Boneya, DJ, Bulto, LN, Carabin, H, Casey, D, Castaneda-Orjuela, CA, Catala-Lopez, F, Chen, H, Chitheer, AA, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, deVeber, GA, Dharmaratne, SD, Do, HP, Dokova, K, Dorsey, ER, Ellenbogen, RG, Eskandarieh, S, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Foreman, KJ, Geleijnse, JM, Gillum, RF, Giussani, G, Goldberg, EM, Gona, PN, Goulart, AC, Gugnani, HC, Gupta, R, Hachinski, V, Hamadeh, RR, Hambisa, M, Hankey, GJ, Hareri, HA, Havmoeller, R, Hay, SI, Heydarpour, P, Hotez, PJ, Jakovljevic, MMB, Javanbakht, M, Jeemon, P, Jonas, JB, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khoja, AT, Khubchandani, J, Kulkarni, C, Kim, D, Kim, YJ, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kumar, R, Kyu, HH, Larsson, A, Lavados, PM, Li, Y, Liang, X, Liben, ML, Lo, WD, Logroscino, G, Lotufo, PA, Loy, CT, Mackay, MT, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, LG, Massano, J, Mazidi, M, McAlinden, C, Mehata, S, Mehndiratta, MM, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Meretoja, A, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammadi, A, Mohammed, KE, Mohammed, S, Mokdad, AH, Moradi-Lakeh, M, Velasquez, IM, Musa, KI, Naghavi, M, Ngunjiri, JW, Nguyen, CT, Nguyen, G, Nguyen, QL, Nguyen, TH, Nichols, E, Ningrum, DN, Nong, VM, Norrving, B, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Parmar, PG, Pereira, DM, Petzold, M, Phillips, MR, Piradov, MA, Poulton, RG, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rahman, MH, Rai, RK, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, AMN, Rezai, MS, Roth, GA, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, MA, Samy, AM, Santalucia, P, Santos, IS, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, MI, Sepanlou, SG, Shaikh, MA, Shakir, R, Shamsizadeh, M, Sheth, KN, Shigematsu, M, Shoman, H, Silva, DA, Smith, M, Sobngwi, E, Sposato, LA, Stanaway, JD, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Szoeke, CEI, Tabares-Seisdedos, R, Tanne, D, Theadom, AM, Thrift, AG, Tirschwell, DL, Topor-Madry, R, Tran, BX, Truelsen, T, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Wadilo, F, Wakayo, T, Wallin, MT, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Xavier, D, Xu, G, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Zunt, JR, Murray, CJL, Vos, T, Disorders, GBDN, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, and Vos, T
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Cost of Illness ,Nutrition and Disease ,GBD ,Voeding en Ziekte ,Humans ,Life Science ,Quality-Adjusted Life Years ,Nervous System Diseases ,Global Health ,Article ,Global Burden of Disease ,VLAG - Abstract
Background Comparable data on the global and country-specific burden of neurological disorders and their trends are\ud crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors\ud (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians\ud specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to\ud neurological disorders in 2015 and its relationship with country development level.\ud \ud Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years\ud of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification\ud have been previously spread across multiple disease groupings. The more inclusive grouping of neurological\ud disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer’s disease and other dementias, Parkinson’s\ud disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse\ud headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed\ud results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and\ud fertility, to identify patterns associated with development and how countries fare against expected outcomes relative\ud to their level of development.\ud \ud Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval\ud (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4\ud [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tensiontype\ud headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication\ud overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer’s disease and other dementias (46·0\ud [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by\ud 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of\ud death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were\ud responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in\ud countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the\ud changes in DALY rates of neurological disorders with development were driven by changes in YLLs.\ud \ud Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden\ud of neurological disorders has increased substantially over the past 25 years because of expanding population numbers\ud and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders.\ud The number of patients who will need care by clinicians with expertise in neurological conditions will continue to\ud grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate\ud services.\ud \ud Funding Bill & Melinda Gates Foundation.
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- 2017
23. Spending on health and HIV/AIDS: domestic health spending and development assistance in 188 countries, 1995–2015
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Dieleman, JL, Haakenstad, A, Micah, A, Moses, M, Abbafati, C, Acharya, P, Adhikari, TB, Adou, AK, Ahmad Kiadaliri, A, Alam, K, Alizadeh-Navaei, R, Rai, RK, Ram, U, Ranabhat, CL, Ray, SE, Global Burden of Disease Health Financing Collaborator Network, Alkerwi, A, Ammar, W, Antonio, CAT, Aremu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catalá-López, F, Chapin, A, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Fullman, N, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kates, J, Khalil, IA, Khang, YH, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lam, H, Listl, S, Magdy Abd El Razek, H, Magdy Abd El Razek, M, Majeed, A, Malekzadeh, R, Malta, DC, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Naghavi, M, Nangia, V, Ngalesoni, FN, Nguyen, CT, Nguyen, TH, Niriayo, Y, Noroozi, M, Owolabi, MO, Pereira, DM, Qorbani, M, Rafay, A, Rafiei, A, and Rahimi-Movaghar, V
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Copyright © 2018 The Author(s). Background: Comparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved estimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries. Methods: We collected published data on domestic health spending, from 1995 to 2015, from a diverse set of international agencies. We tracked development assistance for health from 1990 to 2017. We also extracted 5385 datapoints about HIV/AIDS spending, between 2000 and 2015, from online databases, country reports, and proposals submitted to multilateral organisations. We used spatiotemporal Gaussian process regression to generate complete and comparable estimates for health and HIV/AIDS spending. We report most estimates in 2017 purchasing-power parity-adjusted dollars and adjust all estimates for the effect of inflation. Findings: Between 1995 and 2015, global health spending per capita grew at an annualised rate of 3·1% (95% uncertainty interval [UI] 3·1 to 3·2), with growth being largest in upper-middle-income countries (5·4% per capita [UI 5·3–5·5]) and lower-middle-income countries (4·2% per capita [4·2–4·3]). In 2015, $9·7 trillion (9·7 trillion to 9·8 trillion) was spent on health worldwide. High-income countries spent $6·5 trillion (6·4 trillion to 6·5 trillion) or 66·3% (66·0 to 66·5) of the total in 2015, whereas low-income countries spent $70·3 billion (69·3 billion to 71·3 billion) or 0·7% (0·7 to 0·7). Between 1990 and 2017, development assistance for health increased by 394·7% ($29·9 billion), with an estimated $37·4 billion of development assistance being disbursed for health in 2017, of which $9·1 billion (24·2%) targeted HIV/AIDS. Between 2000 and 2015, $562·6 billion (531·1 billion to 621·9 billion) was spent on HIV/AIDS worldwide. Governments financed 57·6% (52·0 to 60·8) of that total. Global HIV/AIDS spending peaked at 49·7 billion (46·2–54·7) in 2013, decreasing to $48·9 billion (45·2 billion to 54·2 billion) in 2015. That year, low-income and lower-middle-income countries represented 74·6% of all HIV/AIDS disability-adjusted life-years, but just 36·6% (34·4 to 38·7) of total HIV/AIDS spending. In 2015, $9·3 billion (8·5 billion to 10·4 billion) or 19·0% (17·6 to 20·6) of HIV/AIDS financing was spent on prevention, and $27·3 billion (24·5 billion to 31·1 billion) or 55·8% (53·3 to 57·9) was dedicated to care and treatment. Interpretation: From 1995 to 2015, total health spending increased worldwide, with the fastest per capita growth in middle-income countries. While these national disparities are relatively well known, low-income countries spent less per person on health and HIV/AIDS than did high-income and middle-income countries. Furthermore, declines in development assistance for health continue, including for HIV/AIDS. Additional cuts to development assistance could hasten this decline, and risk slowing progress towards global and national goals. Funding: The Bill & Melinda Gates Foundation. The Bill & Melinda Gates Foundation.
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- 2018
24. Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–40
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Dieleman, JL, Sadat, N, Chang, AY, Fullman, N, Abbafati, C, Acharya, P, Adou, AK, Ahmad Kiadaliri, A, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Rafay, A, Rafiei, A, Global Burden of Disease Health Financing Collaborator Network, Ammar, W, Antonio, CAT, Aremu, O, Asgedom, SW, Atey, TM, Avila-Burgos, L, Ayer, R, Badali, H, Banach, M, Banstola, A, Barac, A, Belachew, AB, Birungi, C, Bragazzi, NL, Breitborde, NJK, Cahuana-Hurtado, L, Car, J, Catalá-López, F, Chapin, A, Chen, CS, Dandona, L, Dandona, R, Daryani, A, Dharmaratne, SD, Dubey, M, Edessa, D, Eldrenkamp, E, Eshrati, B, Faro, A, Feigl, AB, Fenny, AP, Fischer, F, Foigt, N, Foreman, KJ, Ghimire, M, Goli, S, Hailu, AD, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Ikilezi, G, Javanbakht, M, John, D, Jonas, JB, Kaldjian, A, Kasaeian, A, Kasahun, YC, Khalil, IA, Khang, YH, Khubchandani, J, Kim, YJ, Kinge, JM, Kosen, S, Krohn, KJ, Kumar, GA, Lafranconi, A, Lam, H, Listl, S, Magdy Abd El Razek, H, Magdy Abd El Razek, M, Majeed, A, Malekzadeh, R, Malta, DC, Martinez, G, Mensah, GA, Meretoja, A, Micah, A, Miller, TR, Mirrakhimov, EM, Mlashu, FW, Mohammed, E, Mohammed, S, Moses, M, Mousavi, SM, Naghavi, M, Nangia, V, Ngalesoni, FN, Nguyen, CT, Nguyen, TH, Niriayo, Y, Noroozi, M, Owolabi, MO, Patel, T, Pereira, DM, Polinder, S, and Qorbani, M
- Abstract
This online publication has been corrected. The corrected version first appeared at thelancet.com on May 3, 2018 © 2018 The Author(s). Background: Achieving universal health coverage (UHC) requires health financing systems that provide prepaid pooled resources for key health services without placing undue financial stress on households. Understanding current and future trajectories of health financing is vital for progress towards UHC. We used historical health financing data for 188 countries from 1995 to 2015 to estimate future scenarios of health spending and pooled health spending through to 2040. Methods: We extracted historical data on gross domestic product (GDP) and health spending for 188 countries from 1995 to 2015, and projected annual GDP, development assistance for health, and government, out-of-pocket, and prepaid private health spending from 2015 through to 2040 as a reference scenario. These estimates were generated using an ensemble of models that varied key demographic and socioeconomic determinants. We generated better and worse alternative future scenarios based on the global distribution of historic health spending growth rates. Last, we used stochastic frontier analysis to investigate the association between pooled health resources and UHC index, a measure of a country's UHC service coverage. Finally, we estimated future UHC performance and the number of people covered under the three future scenarios. Findings: In the reference scenario, global health spending was projected to increase from US$10 trillion (95% uncertainty interval 10 trillion to 10 trillion) in 2015 to $20 trillion (18 trillion to 22 trillion) in 2040. Per capita health spending was projected to increase fastest in upper-middle-income countries, at 4·2% (3·4–5·1) per year, followed by lower-middle-income countries (4·0%, 3·6–4·5) and low-income countries (2·2%, 1·7–2·8). Despite global growth, per capita health spending was projected to range from only $40 (24–65) to $413 (263–668) in 2040 in low-income countries, and from $140 (90–200) to $1699 (711–3423) in lower-middle-income countries. Globally, the share of health spending covered by pooled resources would range widely, from 19·8% (10·3–38·6) in Nigeria to 97·9% (96·4–98·5) in Seychelles. Historical performance on the UHC index was significantly associated with pooled resources per capita. Across the alternative scenarios, we estimate UHC reaching between 5·1 billion (4·9 billion to 5·3 billion) and 5·6 billion (5·3 billion to 5·8 billion) lives in 2030. Interpretation: We chart future scenarios for health spending and its relationship with UHC. Ensuring that all countries have sustainable pooled health resources is crucial to the achievement of UHC. The Bill & Melinda Gates Foundation.
- Published
- 2018
25. Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))
- Author
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GBD 2017 Causes of Death Collaborators Roth, G.A. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdollahpour, I. Abdulkader, R.S. Abebe, H.T. Abebe, M. Abebe, Z. Abejie, A.N. Abera, S.F. Abil, O.Z. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Accrombessi, M.M.K. Acharya, D. Adamu, A.A. Adebayo, O.M. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adib, M.G. Admasie, A. Afshin, A. Agarwal, G. Agesa, K.M. Agrawal, A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmed, M.B. Ahmed, S. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akbari, M.E. Akinyemi, R.O. Akseer, N. Al-Aly, Z. Al-Eyadhy, A. Al-Raddadi, R.M. Alahdab, F. Alam, K. Alam, T. Alebel, A. Alene, K.A. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Alonso, J. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Aminde, L.N. Amini, E. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Ansari, H. Ansha, M.G. Antonio, C.A.T. Anwari, P. Aremu, O. Arnlov, J. Arora, A. Arora, M. Artaman, A. Aryal, K.K. Asayesh, H. Asfaw, E.T. Ataro, Z. Atique, S. Atre, S.R. Ausloos, M. Avokpaho, E.F.G.A. Awasthi, A. Ayala Quintanilla, B.P. Ayele, Y. Ayer, R. Azzopardi, P.S. Babazadeh, A. Bacha, U. Badali, H. Badawi, A. Bali, A.G. Ballesteros, K.E. Banach, M. Banerjee, K. Bannick, M.S. Banoub, J.A.M. Barboza, M.A. Barker-Collo, S.L. Barnighausen, T.W. Barquera, S. Barrero, L.H. Bassat, Q. Basu, S. Baune, B.T. Baynes, H.W. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Bejot, Y. Bekele, B.B. Belachew, A.B. Belay, E. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Beyranvand, T. Bhalla, A. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Biehl, M.H. Bijani, A. Bikbov, B. Bilano, V. Bililign, N. Bin Sayeed, M.S. Bisanzio, D. Biswas, T. Blacker, B.F. Basara, B.B. Borschmann, R. Bosetti, C. Bozorgmehr, K. Brady, O.J. Brant, L.C. Brayne, C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Briant, P.S. Britton, G. Brugha, T. Busse, R. Butt, Z.A. Callender, C.S.K.H. Campos-Nonato, I.R. Campuzano Rincon, J.C. Cano, J. Car, M. Cardenas, R. Carreras, G. Carrero, J.J. Carter, A. Carvalho, F. Castaneda-Orjuela, C.A. Castillo Rivas, J. Castle, C.D. Castro, C. Castro, F. Catala-Lopez, F. Cerin, E. Chaiah, Y. Chang, J.-C. Charlson, F.J. Chaturvedi, P. Chiang, P.P.-C. Chimed-Ochir, O. Chisumpa, V.H. Chitheer, A. Chowdhury, R. Christensen, H. Christopher, D.J. Chung, S.-C. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Cohen, A.J. Cooper, L.T. Cortesi, P.A. Cortinovis, M. Cousin, E. Cowie, B.C. Criqui, M.H. Cromwell, E.A. Crowe, C.S. Crump, J.A. Cunningham, M. Daba, A.K. Dadi, A.F. Dandona, L. Dandona, R. Dang, A.K. Dargan, P.I. Daryani, A. Das, S.K. Gupta, R.D. Neves, J.D. Dasa, T.T. Dash, A.P. Davis, A.C. Davis Weaver, N. Davitoiu, D.V. Davletov, K. De La Hoz, F.P. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Degfie, T.T. Deiparine, S. Demoz, G.T. Demtsu, B.B. Denova-Gutierrez, E. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dicker, D. Dinberu, M.T. Ding, E.L. Dirac, M.A. Djalalinia, S. Dokova, K. Doku, D.T. Donnelly, C.A. Dorsey, E.R. Doshi, P.P. Douwes-Schultz, D. Doyle, K.E. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Edessa, D. Edvardsson, D. Eggen, A.E. El Bcheraoui, C. El Sayed Zaki, M. El-Khatib, Z. Elkout, H. Ellingsen, C.L. Endres, M. Endries, A.Y. Er, B. Erskine, H.E. Eshrati, B. Eskandarieh, S. Esmaeili, R. Esteghamati, A. Fakhar, M. Fakhim, H. Faramarzi, M. Fareed, M. Farhadi, F. Farinha, C.S.E. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Feigin, V.L. Feigl, A.B. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Ferrari, A.J. Feyissa, G.T. Filip, I. Finegold, S. Fischer, F. Fitzmaurice, C. Foigt, N.A. Foreman, K.J. Fornari, C. Frank, T.D. 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Hay, R.J. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, M. Hendrie, D. Henok, A. Henry, N.J. Herteliu, C. Heydarpour, F. Heydarpour, P. Heydarpour, S. Hibstu, D.T. Hoek, H.W. Hole, M.K. Homaie Rad, E. Hoogar, P. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hotez, P.J. Hoy, D.G. Hsiao, T. Hu, G. Huang, J.J. Husseini, A. Hussen, M.M. Hutfless, S. Idrisov, B. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Irvine, C.M.S. Islam, N. Islam, S.M.S. Islami, F. Jacobsen, K.H. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Jalu, M.T. James, S.L. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jenkins, K.J. Jha, R.P. Jha, V. Johnson, C.O. Johnson, S.C. Jonas, J.B. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jurisson, M. Kabir, Z. Kadel, R. Kahsay, A. Kalani, R. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi-Sari, H. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassebaum, N.J. Katikireddi, S.V. Kaul, A. Kazemi, Z. Kazemi Karyani, A. Kazi, D.S. Kefale, A.T. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kesavachandran, C.N. Khader, Y.S. Khafaei, B. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, M.S. Khan, M.A. Khang, Y.-H. Khater, M.M. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kibret, G.D. Kidanemariam, Z.T. Kiirithio, D.N. Kim, D. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kisa, A. Kissimova-Skarbek, K. Kivimaki, M. Knudsen, A.K.S. Kocarnik, J.M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Kuate Defo, B. Kucuk Bicer, B. Kumar, G.A. Kumar, M. Kumar, P. Kutz, M.J. Kuzin, I. Kyu, H.H. Lad, D.P. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lallukka, T. Lam, J.O. Lami, F.H. Lansingh, V.C. Lansky, S. Larson, H.J. Latifi, A. Lau, K.M.-M. Lazarus, J.V. Lebedev, G. Lee, P.H. Leigh, J. Leili, M. Leshargie, C.T. Li, S. Li, Y. Liang, J. Lim, L.-L. Lim, S.S. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Lonsdale, C. Lopez, A.D. Lorkowski, S. Lotufo, P.A. Lozano, R. Lunevicius, R. Ma, S. Macarayan, E.R.K. Mackay, M.T. MacLachlan, J.H. Maddison, E.R. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malta, D.C. Manda, A.-L. Mandarano-Filho, L.G. Manguerra, H. Mansournia, M.A. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marczak, L. Marks, A. Marks, G.B. Martinez, G. Martins-Melo, F.R. Martopullo, I. Marz, W. Marzan, M.B. Masci, J.R. Massenburg, B.B. Mathur, M.R. Mathur, P. Matzopoulos, R. Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. McMahon, B.J. Mehata, S. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mekonnen, T.C. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miazgowski, B. Miazgowski, T. Millear, A.I. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. Mirabi, P. Mirarefin, M. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Mitiku, H. Moazen, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammed, M.A. Mohammed, S. Mohan, V. Mokdad, A.H. Molokhia, M. Monasta, L. Moradi, G. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Velasquez, I.M. Morgado-Da-Costa, J. Morrison, S.D. Moschos, M.M. Mouodi, S. Mousavi, S.M. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Muller, K. Mumford, J.E. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naheed, A. Nahvijou, A. Naik, G. Nair, S. Najafi, F. Naldi, L. Nam, H.S. Nangia, V. Nansseu, J.R. Nascimento, B.R. Natarajan, G. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, A.Q. Nguyen, G. Nguyen, H.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, T.H. Nichols, E. Ningrum, D.N.A. Nirayo, Y.L. Nixon, M.R. Nolutshungu, N. Nomura, S. Norheim, O.F. Noroozi, M. Norrving, B. Noubiap, J.J. Nouri, H.R. Shiadeh, M.N. Nowroozi, M.R. 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- Abstract
GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article. © 2018 Elsevier Ltd
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- 2018
26. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017
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Tran, K.B. Tripathi, S. Tripathy, S.P. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsilimparis, N. Tudor Car, L. Tuzcu, E.M. Tyrovolas, S. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Vasconcelos, A.M.N. Venketasubramanian, N. Vidavalur, R. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagner, G.R. Wagnew, F.W.S. Waheed, Y. Wang, Y. Wang, Y.-P. Wassie, M.M. Weiderpass, E. Weintraub, R.G. Weiss, D.J. Weiss, J. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. Westerman, R. Whiteford, H.A. Widecka, J. Widecka, K. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wondemagegn, S.A. Wu, S. Wyper, G.M.A. Xu, G. Yadav, R. Yakob, B. Yamada, T. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Ye, P. Yearwood, J.A. Yentür, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. York, H.W. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zachariah, G. Zadnik, V. Zafar, S. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeeb, H. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, K. Zhang, X. Zhou, M. Zhu, J. Zodpey, S. Zucker, I. Zuhlke, L.J.J. Lopez, A.D. Gakidou, E. Murray, C.J.L. GBD 2017 Mortality Collaborators
- Abstract
Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).
- Published
- 2018
27. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
- Author
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- Abstract
Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
- Published
- 2018
28. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marina, S. Martins-Melo, F.R. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Masiye, F. Mason-Jones, A.J. Massenburg, B.B. Mathur, M.R. Maulik, P.K. Mazidi, M. McGrath, J.J. Mehata, S. Mehendale, S.M. Mehndiratta, M.M. Mehrotra, R. Mehrzadi, S. Mehta, K.M. Mehta, V. Mekonnen, T.C. Meles, H.G. Meles, K.G. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengesha, M.M. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miangotar, Y. Miazgowski, B. Miazgowski, T. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. Mirabi, P. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Moazen, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadi-Khanaposhtani, M. Mohammed, M.A. Mohammed, S. Mokdad, A.H. Mola, G.D. Molokhia, M. Monasta, L. Montañez, J.C. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morgado-Da-Costa, J. Mori, R. 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GBD 2017 Population Fertility Collaborators
- Abstract
Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
- Published
- 2018
29. Global, regional, and national incidence, prevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- Author
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James, S.L. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdollahpour, I. Abdulkader, R.S. Abebe, Z. Abera, S.F. Abil, O.Z. Abraha, H.N. Abu-Raddad, L.J. Abu-Rmeileh, N.M.E. Accrombessi, M.M.K. Acharya, D. Acharya, P. Ackerman, I.N. Adamu, A.A. Adebayo, O.M. Adekanmbi, V. Adetokunboh, O.O. Adib, M.G. Adsuar, J.C. Afanvi, K.A. Afarideh, M. Afshin, A. Agarwal, G. Agesa, K.M. Aggarwal, R. Aghayan, S.A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmadieh, H. Ahmed, M.B. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akinyemiju, T. Akseer, N. Al-Aly, Z. Al-Eyadhy, A. Al-Mekhlafi, H.M. Al-Raddadi, R.M. Alahdab, F. Alam, K. Alam, T. Alashi, A. Alavian, S.M. Alene, K.A. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Alouani, M.M.L. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Aminde, L.N. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Ansha, M.G. Antonio, C.A.T. Anwari, P. Arabloo, J. Arauz, A. Aremu, O. Ariani, F. Armoon, B. Ärnlöv, J. Arora, A. Artaman, A. Aryal, K.K. Asayesh, H. Asghar, R.J. Ataro, Z. Atre, S.R. Ausloos, M. Avila-Burgos, L. Avokpaho, E.F.G.A. Awasthi, A. Ayala Quintanilla, B.P. Ayer, R. Azzopardi, P.S. Babazadeh, A. Badali, H. Badawi, A. Bali, A.G. Ballesteros, K.E. Ballew, S.H. Banach, M. Banoub, J.A.M. Banstola, A. Barac, A. Barboza, M.A. Barker-Collo, S.L. Bärnighausen, T.W. Barrero, L.H. Baune, B.T. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Béjot, Y. Belachew, A.B. Belay, Y.A. Bell, M.L. Bello, A.K. Bensenor, I.M. Bernabe, E. Bernstein, R.S. Beuran, M. Beyranvand, T. Bhala, N. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Bijani, A. Bikbov, B. Bilano, V. Bililign, N. Bin Sayeed, M.S. Bisanzio, D. Blacker, B.F. Blyth, F.M. Bou-Orm, I.R. Boufous, S. Bourne, R. Brady, O.J. Brainin, M. Brant, L.C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Briant, P.S. Briggs, A.M. Briko, A.N. Britton, G. Brugha, T. Buchbinder, R. Busse, R. Butt, Z.A. Cahuana-Hurtado, L. Cano, J. Cárdenas, R. Carrero, J.J. Carter, A. Carvalho, F. Castañeda-Orjuela, C.A. Castillo Rivas, J. Castro, F. Catalá-López, F. Cercy, K.M. Cerin, E. Chaiah, Y. Chang, A.R. Chang, H.-Y. Chang, J.-C. Charlson, F.J. Chattopadhyay, A. Chattu, V.K. Chaturvedi, P. Chiang, P.P.-C. Chin, K.L. Chitheer, A. Choi, J.-Y.J. Chowdhury, R. Christensen, H. Christopher, D.J. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Claro, R.M. Collado-Mateo, D. Cooper, C. Coresh, J. Cortesi, P.A. Cortinovis, M. Costa, M. Cousin, E. Criqui, M.H. Cromwell, E.A. Cross, M. Crump, J.A. Dadi, A.F. Dandona, L. Dandona, R. Dargan, P.I. Daryani, A. Das Gupta, R. Das Neves, J. Dasa, T.T. Davey, G. Davis, A.C. Davitoiu, D.V. De Courten, B. De La Hoz, F.P. De Leo, D. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Deiparine, S. Dellavalle, R.P. Demoz, G.T. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dinberu, M.T. Dirac, M.A. Djalalinia, S. Doan, L. Dokova, K. Doku, D.T. Dorsey, E.R. Doyle, K.E. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Echko, M.M. Edvardsson, D. Effiong, A. Ehrlich, J.R. El Bcheraoui, C. El Sayed Zaki, M. El-Khatib, Z. Elkout, H. Elyazar, I.R.F. Enayati, A. Endries, A.Y. Er, B. Erskine, H.E. Eshrati, B. Eskandarieh, S. Esteghamati, A. Esteghamati, S. Fakhim, H. Fallah Omrani, V. Faramarzi, M. Fareed, M. Farhadi, F. Farid, T.A. Farinha, C.S.E. Farioli, A. Faro, A. Farvid, M.S. Farzadfar, F. Feigin, V.L. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Ferrari, A.J. Feyissa, G.T. Filip, I. Fischer, F. Fitzmaurice, C. Foigt, N.A. Foreman, K.J. Fox, J. Frank, T.D. Fukumoto, T. Fullman, N. Fürst, T. Furtado, J.M. Futran, N.D. Gall, S. Ganji, M. Gankpe, F.G. Garcia-Basteiro, A.L. Gardner, W.M. Gebre, A.K. Gebremedhin, A.T. Gebremichael, T.G. Gelano, T.F. Geleijnse, J.M. Genova-Maleras, R. Geramo, Y.C.D. Gething, P.W. Gezae, K.E. Ghadiri, K. Ghasemi Falavarjani, K. Ghasemi-Kasman, M. Ghimire, M. Ghosh, R. Ghoshal, A.G. Giampaoli, S. Gill, P.S. Gill, T.K. Ginawi, I.A. Giussani, G. Gnedovskaya, E.V. Goldberg, E.M. Goli, S. Gómez-Dantés, H. Gona, P.N. Gopalani, S.V. Gorman, T.M. Goulart, A.C. Goulart, B.N.G. Grada, A. Grams, M.E. Grosso, G. Gugnani, H.C. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Gyawali, B. Haagsma, J.A. Hachinski, V. Hafezi-Nejad, N. Haghparast Bidgoli, H. Hagos, T.B. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Hao, Y. Harb, H.L. Harikrishnan, S. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hawley, C.N. Hay, R.J. Hay, S.I. Hedayatizadeh-Omran, A. Heibati, B. Hendrie, D. Henok, A. Herteliu, C. Heydarpour, S. Hibstu, D.T. Hoang, H.T. Hoek, H.W. Hoffman, H.J. Hole, M.K. Homaie Rad, E. Hoogar, P. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hotez, P.J. Hoy, D.G. Hsairi, M. Htet, A.S. Hu, G. Huang, J.J. Huynh, C.K. Iburg, K.M. Ikeda, C.T. Ileanu, B. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Irvine, C.M.S. Mohammed, S. Islam, S. Islami, F. Jacobsen, K.H. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jha, R.P. Jha, V. Ji, J.S. Johnson, C.O. Jonas, J.B. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Kabir, Z. Kadel, R. Kahsay, A. Kalani, R. Kanchan, T. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi, N. Karimi, S.M. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassebaum, N.J. Katikireddi, S.V. Kawakami, N. Kazemi Karyani, A. Keighobadi, M.M. Keiyoro, P.N. Kemmer, L. Kemp, G.R. Kengne, A.P. Keren, A. Khader, Y.S. Khafaei, B. Khafaie, M.A. Khajavi, A. Khalil, I.A. Khan, E.A. Khan, M.S. Khan, M.A. Khang, Y.-H. Khazaei, M. Khoja, A.T. Khosravi, A. Khosravi, M.H. Kiadaliri, A.A. Kiirithio, D.N. Kim, C.-I. Kim, D. Kim, P. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kisa, A. Kissimova-Skarbek, K. Kivimäki, M. Knudsen, A.K.S. Kocarnik, J.M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosen, S. Kotsakis, G.A. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Krohn, K.J. Kuate Defo, B. Kucuk Bicer, B. Kumar, G.A. Kumar, M. Kyu, H.H. Lad, D.P. Lad, S.D. Lafranconi, A. Lalloo, R. Lallukka, T. Lami, F.H. Lansingh, V.C. Latifi, A. Lau, K.M.-M. Lazarus, J.V. Leasher, J.L. Ledesma, J.R. Lee, P.H. Leigh, J. Leung, J. Levi, M. Lewycka, S. Li, S. Li, Y. Liao, Y. Liben, M.L. Lim, L.-L. Lim, S.S. Liu, S. Lodha, R. Looker, K.J. Lopez, A.D. Lorkowski, S. Lotufo, P.A. Low, N. Lozano, R. Lucas, T.C.D. Lucchesi, L.R. Lunevicius, R. Lyons, R.A. Ma, S. Macarayan, E.R.K. Mackay, M.T. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Mahotra, N.B. Mai, H.T. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malta, D.C. Mamun, A.A. Manda, A.-L. Manguerra, H. Manhertz, T. Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Maravilla, J.C. Marcenes, W. Marks, A. Martins-Melo, F.R. Martopullo, I. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Massenburg, B.B. Mathur, M.R. Matsushita, K. Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mejia-Rodriguez, F. Mekonen, T. Melese, A. Melku, M. Meltzer, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezerji, N.M.G. Miazgowski, B. Miazgowski, T. Millear, A.I. Miller, T.R. Miltz, B. Mini, G.K. Mirarefin, M. Mirrakhimov, E.M. Misganaw, A.T. Mitchell, P.B. Mitiku, H. Moazen, B. Mohajer, B. Mohammad, K.A. Mohammadifard, N. Mohammadnia-Afrouzi, M. Mohammed, M.A. Mohammed, S. Mohebi, F. Moitra, M. Mokdad, A.H. Molokhia, M. Monasta, L. Moodley, Y. Moosazadeh, M. Moradi, G. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Moreno Velásquez, I. Morgado-Da-Costa, J. Morrison, S.D. Moschos, M.M. Mousavi, S.M. Mruts, K.B. Muche, A.A. Muchie, K.F. Mueller, U.O. Muhammed, O.S. Mukhopadhyay, S. Muller, K. Mumford, J.E. Murhekar, M. Musa, J. Musa, K.I. Mustafa, G. Nabhan, A.F. Nagata, C. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Naik, N. Najafi, F. Naldi, L. Nam, H.S. Nangia, V. Nansseu, J.R. Nascimento, B.R. Natarajan, G. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngunjiri, J.W. Nguyen, A.Q. Nguyen, H.T. Nguyen, H.L.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, N.B. Nguyen, S.H. Nichols, E. Ningrum, D.N.A. Nixon, M.R. Nolutshungu, N. Nomura, S. Norheim, O.F. Noroozi, M. Norrving, B. Noubiap, J.J. Nouri, H.R. Nourollahpour Shiadeh, M. Nowroozi, M.R. Nsoesie, E.O. Nyasulu, P.S. Odell, C.M. Ofori-Asenso, R. Ogbo, F.A. Oh, I.-H. Oladimeji, O. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Olsen, H.E. Olusanya, B.O. Ong, K.L. Ong, S.K. Oren, E. Ortiz, A. Ota, E. Otstavnov, S.S. øverland, S. Owolabi, M.O. Mahesh, P.A. Pacella, R. Pakpour, A.H. Pana, A. Panda-Jonas, S. Parisi, A. Park, E.-K. Parry, C.D.H. Patel, S. Pati, S. Patil, S.T. Patle, A. Patton, G.C. Paturi, V.R. Paulson, K.R. Pearce, N. Pereira, D.M. Perico, N. Pesudovs, K. Pham, H.Q. Phillips, M.R. Pigott, D.M. Pillay, J.D. Piradov, M.A. Pirsaheb, M. Pishgar, F. Plana-Ripoll, O. Plass, D. Polinder, S. Popova, S. Postma, M.J. Pourshams, A. Poustchi, H. Prabhakaran, D. Prakash, S. Prakash, V. Purcell, C.A. Purwar, M.B. Qorbani, M. Quistberg, D.A. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi, K. Rahimi-Movaghar, A. Rahimi-Movaghar, V. Rahman, M. Ur Rahman, M.H. Rahman, M.A. Rahman, S.U. Rai, R.K. Rajati, F. Ram, U. Ranjan, P. Ranta, A. Rao, P.C. Rawaf, D.L. Rawaf, S. Reddy, K.S. Reiner, R.C. Reinig, N. Reitsma, M.B. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezai, M.S. Ribeiro, A.L.P. Robinson, S.R. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Roth, G.A. Roy, A. Rubagotti, E. Sachdev, P.S. Sadat, N. Saddik, B. Sadeghi, E. Saeedi Moghaddam, S. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salam, N. Salama, J.S. Salamati, P. Saleem, K. Saleem, Z. Salimi, Y. Salomon, J.A. Salvi, S.S. Salz, I. Samy, A.M. Sanabria, J. Sang, Y. Santomauro, D.F. Santos, I.S. Santos, J.V. Santric Milicevic, M.M. Sao Jose, B.P. Sardana, M. Sarker, A.R. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Saxena, S. Saylan, M. Schaeffner, E. Schmidt, M.I. Schneider, I.J.C. Schöttker, B. Schwebel, D.C. Schwendicke, F. Scott, J.G. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Seyedmousavi, S. Shabaninejad, H. Shafieesabet, A. Shahbazi, M. Shaheen, A.A. Shaikh, M.A. Shams-Beyranvand, M. Shamsi, M. Shamsizadeh, M. Sharafi, H. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, M. Sharma, R. She, J. Sheikh, A. Shi, P. Shibuya, K. Shigematsu, M. Shiri, R. Shirkoohi, R. Shishani, K. Shiue, I. Shokraneh, F. Shoman, H. Shrime, M.G. Si, S. Siabani, S. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silva, J.P. Silveira, D.G.A. Singam, N.S.V. Singh, J.A. Singh, N.P. Singh, V. Sinha, D.N. Skiadaresi, E. Slepak, E.L.N. Sliwa, K. Smith, D.L. Smith, M. Soares Filho, A.M. Sobaih, B.H. Sobhani, S. Sobngwi, E. Soneji, S.S. Soofi, M. Soosaraei, M. Sorensen, R.J.D. Soriano, J.B. Soyiri, I.N. Sposato, L.A. Sreeramareddy, C.T. Srinivasan, V. Stanaway, J.D. Stein, D.J. Steiner, C. Steiner, T.J. Stokes, M.A. Stovner, L.J. Subart, M.L. Sudaryanto, A. Sufiyan, M.B. Sunguya, B.F. Sur, P.J. Sutradhar, I. Sykes, B.L. Sylte, D.O. Tabarés-Seisdedos, R. Tadakamadla, S.K. Tadesse, B.T. Tandon, N. Tassew, S.G. Tavakkoli, M. Taveira, N. Taylor, H.R. Tehrani-Banihashemi, A. Tekalign, T.G. Tekelemedhin, S.W. Tekle, M.G. Temesgen, H. Temsah, M.-H. Temsah, O. Terkawi, A.S. Teweldemedhin, M. Thankappan, K.R. Thomas, N. Tilahun, B. To, Q.G. Tonelli, M. Topor-Madry, R. Topouzis, F. Torre, A.E. Tortajada-Girbés, M. Touvier, M. Tovani-Palone, M.R. Towbin, J.A. Tran, B.X. Tran, K.B. Troeger, C.E. Truelsen, T.C. Tsilimbaris, M.K. Tsoi, D. Tudor Car, L. Tuzcu, E.M. Ukwaja, K.N. Ullah, I. Undurraga, E.A. Unutzer, J. Updike, R.L. Usman, M.S. Uthman, O.A. Vaduganathan, M. Vaezi, A. Valdez, P.R. Varughese, S. Vasankari, T.J. Venketasubramanian, N. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vosoughi, K. Vujcic, I.S. Wagnew, F.S. Waheed, Y. Waller, S.G. Wang, Y. Wang, Y.-P. Weiderpass, E. Weintraub, R.G. Weiss, D.J. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. West, T.E. Whiteford, H.A. Widecka, J. Wijeratne, T. Wilner, L.B. Wilson, S. Winkler, A.S. Wiyeh, A.B. Wiysonge, C.S. Wolfe, C.D.A. Woolf, A.D. Wu, S. Wu, Y.-C. Wyper, G.M.A. Xavier, D. Xu, G. Yadgir, S. Yadollahpour, A. Yahyazadeh Jabbari, S.H. Yamada, T. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zadnik, V. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeleke, A.J. Zenebe, Z.M. Zhang, K. Zhao, Z. Zhou, M. Zodpey, S. Zucker, I. Vos, T. Murray, C.J.L. GBD 2017 Disease Injury Incidence Prevalence Collaborators
- Abstract
Background: The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings: Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs 1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Interpretation: Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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- 2018
30. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: A Systematic Analysis for the Global Burden of Disease Study Global Burden of Disease Cancer Collaboration
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Fitzmaurice, C., Pourmalek, F., Lunevicius, R., Campos-Nonato, I., Khang, Y.-H., Jee, S.H., Rana, S.M., Sufiyan, M.B., Kedir, M.S., Khader, Y.S., Marcenes, W., Meles, K.G., Bensenor, I., Ding, E., Cowie, B., Leigh, J., Zaidi, Z., Melaku, Y.A., Sanabria, J.R., Oladimeji, K.E., James, S., Al-Raddadi, R., Kutz, M., Sartorius, B., Saleem, H.B., Global Burden of Disease Cancer Collaboration, Das Neves, J., Dicker, D.J., Husseini, A., Schwartz, S.M., Søreide, K., Ghiwot, T.T., Nagel, G., Nolte, S., Hailu, A., Pa, M., Wang, H., Kasaeian, A., Alabed, S., Zenebe, Z.M., Fernandes, J., Nand, D., Javanbakht, M., Weiderpass, E., Plass, D., Fleming, T., Oren, E., Sepanlou, S.G., Thakur, J.S., Linn, S., Yonemoto, N., Hay, R.J., Bedi, N., Ukwaja, K.N., Chimed-Orchir, O., Brenner, H., Sandar, L., Dhillon, P., Mohammadi, A., Shiue, I., Zeeb, H., Allen, C., Sykes, B.L., Tadese, F., Ahmed, M.B., Ali, R., Alem, G., Malta, D.C., Lan, Q., Westerman, R., Boneya, D., Wagner, J.A., Amoako, Y., Marquez, N., Larson, H.J., Khubchandani, J., Tessema, G.A., Alemayohu, M.A., Ekwueme, D., Chiang, P., Vollset, S.E., Asayesh, H., Fischer, F., Shore, H.R., Naghavi, M., Hancock, J., Catalá-López, F., Stroumpoulis, K., Barber, R.M., Satpathy, M., Zaki, M.E.S., Atnafu, N., Farvid, M., Shaikh, M.A., Zoeckler, L., Liang, X., Yebyo, H.G., Lim, S.S., Chudi Uzochukwu, B.S., Dharmaratne, S., Castañeda-Orjuela, C., Takahashi, K., Sawhney, M., Abd-Allah, F., Shackelford, K.A., Malekzadeh, R., Steiner, C., Driscoll, T., Hosgood, H.D., Dandona, R., Lopez, A.D., Shrime, M.G., Yu, C., Aldhahri, S.F., Sun, J., Qorbani, M., Vlassov, V.V., Chibueze, C., Huynh, C., Horino, M., Yimam, H.H., Stanaway, J., Ogbo, F.A., Dandona, L., El Razek, H.M.A., Huybrechts, I., Pereira, D.M., Younis, M.Z., Pinho, C., Damtew, S., Salomon, J.A., Bernabé, E., Berhane, A., Forouzanfar, M.H., Awasthi, A., Gopalani, S., Murray, C.J.L., Jakovljevic, M., She, J., Horita, N., MacIntyre, M.F., Stathopoulou, V., Barregard, L., Betsu, B., Dey, S., Bhutta, Z.A., Endries, A.Y., Shibuya, K., Tran, B.X., Mohammad, K.A., Barac, A., Miller, T.R., Radfar, A., Gebru, A., Islami, F., Chitheer, A., Kumar, G.A., Rahman, M., Markos, D., Park, E.-K., Moradi-Lakeh, M., Mohammed, S., Soneji, S., Mendoza, W., Amare, A., Tedla, B.A., Wubshet Terefe, M., Farzadfar, F., Vos, T., Artaman, A., So, S., Mengiste, D.T., Le Nguyen, Q., Choi, J.-Y., Binagwaho, A., Rafay, A., Mokdad, A.H., Kim, D., Marczak, L., Johnson, C.O., Alam, N.K., Meretoja, T.J., Inoue, M., Hunter-Merrill, R., Jonas, J.B., and Tabarés-Seisdedos, R.
- Abstract
IMPORTANCE: Cancer is the second leading cause of death worldwide. Current estimates on the burden of cancer are needed for cancer control planning. OBJECTIVE: To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 32 cancers in 195 countries and territories from 1990 to 2015. EVIDENCE REVIEW: Cancer mortality was estimated using vital registration system data, cancer registry incidence data (transformed to mortality estimates using separately estimated mortality to incidence [MI] ratios), and verbal autopsy data. Cancer incidence was calculated by dividing mortality estimates through the modeled MI ratios. To calculate cancer prevalence, MI ratios were used to model survival. To calculate YLDs, prevalence estimates were multiplied by disability weights. The YLLs were estimated by multiplying age-specific cancer deaths by the reference life expectancy. DALYs were estimated as the sum of YLDs and YLLs. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Countries were categorized by SDI quintiles to summarize results. FINDINGS: In 2015, there were 17.5 million cancer cases worldwide and 8.7 million deaths. Between 2005 and 2015, cancer cases increased by 33%, with population aging contributing 16%, population growth 13%, and changes in age-specific rates contributing 4%. For men, the most common cancer globally was prostate cancer (1.6 million cases). Tracheal, bronchus, and lung cancer was the leading cause of cancer deaths and DALYs in men (1.2 million deaths and 25.9 million DALYs). For women, the most common cancer was breast cancer (2.4 million cases). Breast cancer was also the leading cause of cancer deaths and DALYs for women (523 000 deaths and 15.1 million DALYs). Overall, cancer caused 208.3 million DALYs worldwide in 2015 for both sexes combined. Between 2005 and 2015, age-standardized incidence rates for all cancers combined increased in 174 of 195 countries or territories. Age-standardized death rates (ASDRs) for all cancers combined decreased within that timeframe in 140 of 195 countries or territories. Countries with an increase in the ASDR due to all cancers were largely located on the African continent. Of all cancers, deaths between 2005 and 2015 decreased significantly for Hodgkin lymphoma (-6.1% [95% uncertainty interval (UI), -10.6% to -1.3%]). The number of deaths also decreased for esophageal cancer, stomach cancer, and chronic myeloid leukemia, although these results were not statistically significant. CONCLUSION AND RELEVANCE: As part of the epidemiological transition, cancer incidence is expected to increase in the future, further straining limited health care resources. Appropriate allocation of resources for cancer prevention, early diagnosis, and curative and palliative care requires detailed knowledge of the local burden of cancer. The GBD 2015 study results demonstrate that progress is possible in the war against cancer. However, the major findings also highlight an unmet need for cancer prevention efforts, including tobacco control, vaccination, and the promotion of physical activity and a healthy diet.
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- 2017
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31. PUK10 Cost–Utility Analysis of DyeVert Contrast Reduction Systems for Preventing Contrast-Induced Acute Kidney Injury in Patients Undergoing Coronary and/or Peripheral Angiography
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Javanbakht, M. and Mashayekhi, A.
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- 2021
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32. Combined effects of HIV and obesity on the gastrointestinal microbiome of young men who have sex with men.
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Cook, RR, Fulcher, JA, Tobin, NH, Li, F, Lee, D, Woodward, C, Javanbakht, M, Brookmeyer, R, Shoptaw, S, Bolan, R, Aldrovandi, GM, and Gorbach, PM
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HIV infection complications ,RNA analysis ,OBESITY complications ,BACTEROIDES ,INFLAMMATION ,PROBABILITY theory ,RECTUM ,GUT microbiome ,HIV seroconversion ,MEN who have sex with men ,HIV seronegativity - Abstract
Objectives: The prevalence of obesity is rising among people living with HIV, which may synergistically increase inflammation and the risk of associated diseases. Disruption of gut bacterial communities may be one of the key drivers of this inflammation; however, the combined effects of HIV and obesity on the microbiome have not been explored. Methods: This study included 381 men who have sex with men. Thirty‐nine were HIV‐positive and obese (H+O+), 143 were HIV‐positive and nonobese, 64 were HIV‐negative and obese, and 135 were HIV‐negative and nonobese. Microbiome composition was assessed by targeted sequencing of the V4 region of the 16S ribosomal RNA (rRNA) gene using rectal swab samples. Inverse probability of treatment‐weighted marginal structural models were used to investigate differences in microbial composition between groups while controlling for numerous clinical and behavioural confounders. Results: Significant variability in microbial composition was explained by the combination of HIV and obesity, over and above each condition alone (R2 for the marginal contribution of the H+/O+ group = 0.008; P = 0.001). H+O+ participants had the highest ratios of Prevotella to Bacteroides, a pro‐inflammatory enterotype that has been described in HIV infection and obesity independently. H+O+ participants had lower levels of Bacteroides and Veillonella than all other groups, suggesting a synergistic effect of HIV and obesity on these genera. Conclusions: Our findings support the hypothesis that HIV and obesity act together to disrupt gut microbial communities, which may help explain higher levels of generalized inflammation among people living with both HIV and obesity. [ABSTRACT FROM AUTHOR]
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- 2020
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33. Various Effects of Omega 3 and Omega 3 Plus Vitamin E Supplementations on Serum Glucose Level and Insulin Resistance in Patients with Coronary Artery Disease
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Saboori, S., Djalali, M., Yousefi Rad, E., Nematipour, E., Saboor-Yaraghi, A. A., Javanbakht, M. H., Eshraghian, M. R., Ramezani, A., and Fariba Koohdani
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Omega 3 ,lcsh:Public aspects of medicine ,Vitamin E ,Original Article ,CAD ,Insulin resistance ,lcsh:RA1-1270 ,Glucose homeostasis - Abstract
Background: Omega 3 and vitamin E are two critical nutrients which include beneficial effects in coronary artery disease (CAD). The aim of this study was to assess the effects of omega 3 alone supplementation or in combination with vitamin E on serum glucose and lipid levels and insulin resistance in CAD patients. Methods: Participants of this clinical trial included 60 male patients with CAD who selected from Tehran Heart Center in Tehran, Iran in 2014. They received 4 g/day omega 3 plus 400 IU/day vitamin E (OE), 4 g/day omega 3 with vitamin E placebo (OP), or omega 3 and vitamin E placebo (PP) for two months. Serum glucose, lipids and insulin were assessed and HOMA-IR was calculated before and after the trial and effects of these nutrients on the highlighted parameters were compared within the study groups. Results: Serum glucose level increased significantly in OP group (P=0.004), but not in OE group. OE and OP groups showed a significant decrease in fasting serum TG (P=0.020 and P=0.001, respectively). Serum insulin and HOMA-IR decreased significantly in OE group (P=0.044 and P=0.039, respectively) but did not change significantly in OP group. Conclusion: Although, omega 3 supplementation may include adverse effects on serum glucose level, co-administration of omega 3 and vitamin E can beneficially decrease serum insulin and insulin resistance in CAD patients.
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- 2016
34. Burden of diarrhea in the Eastern Mediterranean Region, 1990-2013: Findings from the Global Burden of Disease Study 2013
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Khalil, I, Colombara, D, Forouzanfar, M, Troeger, C, Daoud, F, Moradi-Lakeh, M, Bcheraoui, C, Rao, P, Afshin, A, Charara, R, Abate, K, Razek, M, Abd-Allah, F, Abu-Elyazeed, R, Kiadaliri, A, Akanda, A, Akseer, N, Alam, K, Alasfoor, D, Ali, R, AlMazroa, M, Alomari, M, Al-Raddadi, R, Alsharif, U, Alsowaidi, S, Altirkawi, K, Alvis-Guzman, N, Ammar, W, Antonio, C, Asayesh, H, Asghar, R, Atique, S, Awasthi, A, Bacha, U, Badawi, A, Barac, A, Bedi, N, Bekele, T, Bensenor, I, Betsu, B, Bhutta, Z, Abdulhak, A, Butt, Z, Danawi, H, Dubey, M, Endries, A, Faghmous, I, Farid, T, Farvid, M, Farzadfar, F, Fereshtehnejad, S, Fischer, F, Fitchett, J, Gibney, K, Ginawi, I, Gishu, M, Gugnani, H, Gupta, R, Hailu, G, Hamadeh, R, Hamidi, S, Harb, H, Hedayati, M, Hsairi, M, Husseini, A, Jahanmehr, N, Javanbakht, M, Jibat, T, Jonas, J, Kasaeian, A, Khader, Y, Khan, A, Khan, E, Khan, G, Khoja, T, Kinfu, Y, Kissoon, N, Koyanagi, A, Lal, A, Latif, A, Lunevicius, R, Razek, H, Majeed, A, Malekzadeh, R, Mehari, A, Mekonnen, A, Melaku, Y, Memish, Z, Mendoza, W, Misganaw, A, Mohamed, L, Nachega, J, Nguyen, Q, Nisar, M, Peprah, E, Platts-Mills, J, Pourmalek, F, Qorbani, M, Rafay, A, Rahimi-Movaghar, V, Rahman, S, Rai, R, Rana, S, Ranabhat, C, Rao, S, Refaat, A, Riddle, M, Roshandel, G, Ruhago, G, Saleh, M, Sanabria, J, Sawhney, M, Sepanlou, S, Setegn, T, and Mokdad, A
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Diarrheal diseases (DD) are leading causes of disease burden, death, and disability, especially in children in low-income settings. DD can also impact a child’s potential livelihood through stunted physical growth, cognitive impairment, and other sequelae. As part of the Global Burden of Disease Study, we estimated DD burden, and the burden attributable to specific risk factors and particular etiologies, in the Eastern Mediterranean Region (EMR) between 1990 and 2013. For both sexes and all ages, we calculated disability-adjusted life years (DALYs), which are the sum of years of life lost and years lived with disability. We estimate that over 125,000 deaths (3.6% of total deaths) were due to DD in the EMR in 2013, with a greater burden of DD in low- and middle-income countries. Diarrhea deaths per 100,000 children under 5 years of age ranged from one (95% uncertainty interval [UI] = 0–1) in Bahrain and Oman to 471 (95% UI = 245–763) in Somalia. The pattern for diarrhea DALYs among those under 5 years of age closely followed that for diarrheal deaths. DALYs per 100,000 ranged from 739 (95% UI = 520–989) in Syria to 40,869 (95% UI = 21,540–65,823) in Somalia. Our results highlighted a highly inequitable burden of DD in EMR, mainly driven by the lack of access to proper resources such as water and sanitation. Our findings will guide preventive and treatment interventions which are based on evidence and which follow the ultimate goal of reducing the DD burden.
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- 2016
35. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2015 : the Global Burden of Disease Study 2015
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GBD 2015 HIV Collaborators, Wang, H, Wolock, TM, Carter, A, Nguyen, G, Kyu, HH, Gakidou, E, Hay, SI, Mills, EJ, Trickey, A, Msemburi, W, Coates, MM, Mooney, MD, Fraser, MS, Sligar, A, Salomon, J, Larson, HJ, Friedman, J, Abajobir, AA, Abate, KH, Abbas, KM, Razek, MM, Abd-Allah, F, Abdulle, AM, Abera, SF, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NM, Abyu, GY, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Adofo, K, Adou, AK, Ajala, ON, Akinyemiju, TF, Akseer, N, Lami, FH, Al-Aly, Z, Alam, K, Alam, NK, Alasfoor, D, Aldhahri, SF, Aldridge, RW, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Ali, R, Alkerwi, A, Alla, F, Mohammad, R, Al-Raddadi, S, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amare, AT, Amberbir, A, Amegah, AK, Ammar, W, Amrock, SM, Antonio, CA, Anwari, P, Ärnlöv, J, Artaman, A, Asayesh, H, Asghar, RJ, Assadi, R, Atique, S, Atkins, LS, Avokpaho, EF, Awasthi, A, Quintanilla, BP, Bacha, U, Badawi, A, Barac, A, Bärnighausen, T, Basu, A, Bayou, TA, Bayou, YT, Bazargan-Hejazi, S, Beardsley, J, Bedi, N, Bennett, DA, Bensenor, IM, Betsu, BD, Beyene, AS, Bhatia, E, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Bisanzio, D, Brainin, M, Brazinova, A, Breitborde, NJ, Brown, A, Burch, M, Butt, ZA, Campuzano, JC, Cárdenas, R, Carrero, JJ, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Chang, HY, Chang, JC, Chavan, L, Chen, W, Chiang, PP, Chibalabala, M, Chisumpa, VH, Choi, JY, Christopher, DJ, Ciobanu, LG, Cooper, C, Dahiru, T, Damtew, SA, Dandona, L, Dandona, R, Das Neves, J, De Jager, P, De Leo, D, Degenhardt, L, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dharmaratne, SD, Ding, EL, Doshi, PP, Driscoll, TR, Dubey, M, Elshrek, YM, Elyazar, I, Endries, AY, Ermakov, SP, Eshrati, B, Esteghamati, A, Faghmous, ID, Farinha, CS, Faro, A, Farvid, MS, Farzadfar, F, Fereshtehnejad, SM, Fernandes, JC, Fischer, F, Fitchett, JR, Foigt, N, Fullman, N, Fürst, T, Gankpé, FG, Gebre, T, Gebremedhin, AT, Gebru, AA, Geleijnse, JM, Gessner, BD, Gething, PW, Ghiwot, TT, Giroud, M, Gishu, MD, Glaser, E, Goenka, S, Goodridge, A, Gopalani, SV, Goto, A, Gugnani, HC, Guimaraes, MD, Gupta, R, Gupta, V, Haagsma, J, Hafezi-Nejad, N, Hagan, H, Hailu, GB, Hamadeh, RR, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Harikrishnan, S, Haro, JM, Harun, KM, Havmoeller, R, Hedayati, MT, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Hoy, DG, Hsairi, M, Hu, G, Huang, H, Huang, JJ, Iburg, KM, Idrisov, BT, Innos, K, Iyer, VJ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jeemon, P, Jha, V, Jiang, G, Jiang, Y, Jibat, T, Jonas, JB, Kabir, Z, Kamal, R, Kan, H, Karch, A, Karema, CK, Karletsos, D, Kasaeian, A, Kaul, A, Kawakami, N, Kayibanda, JF, Keiyoro, PN, Kemp, AH, Kengne, AP, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khang, YH, Khubchandani, J, Kim, YJ, Kinfu, Y, Kivipelto, M, Kokubo, Y, Kosen, S, Koul, PA, Koyanagi, A, Defo, BK, Bicer, BK, Kulkarni, VS, Kumar, GA, Lal, DK, Lam, H, Lam, JO, Langan, SM, Lansingh, VC, Larsson, A, Leigh, J, Leung, R, Li, Y, Lim, SS, Lipshultz, SE, Liu, S, Lloyd, BK, Logroscino, G, Lotufo, PA, Lunevicius, R, Razek, HM, Mahdavi, M, Majdan, M, Majeed, A, Makhlouf, C, Malekzadeh, R, Mapoma, CC, Marcenes, W, Martinez-Raga, J, Marzan, MB, Masiye, F, Mason-Jones, AJ, Mayosi, BM, McKee, M, Meaney, PA, Mehndiratta, MM, Mekonnen, AB, Melaku, YA, Memiah, P, Memish, ZA, Mendoza, W, Meretoja, A, Meretoja, TJ, Mhimbira, FA, Miller, TR, Mikesell, J, Mirarefin, M, Mohammad, KA, Mohammed, S, Mokdad, AH, Monasta, L, Moradi-Lakeh, M, Mori, R, Mueller, UO, Murimira, B, Murthy, GV, Naheed, A, Naldi, L, Nangia, V, Nash, D, Nawaz, H, Nejjari, C, Ngalesoni, FN, De Dieu Ngirabega, J, Nguyen, QL, Nisar, MI, Norheim, OF, Norman, RE, Nyakarahuka, L, Ogbo, FA, Oh, IH, Ojelabi, FA, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ota, E, Padukudru, MA, Park, HY, Park, JH, Patil, ST, Patten, SB, Paul, VK, Pearson, K, Peprah, EK, Pereira, CC, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pillay, JD, Plass, D, Polinder, S, Pourmalek, F, Prokop, DM, Qorbani, M, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MH, Rahman, SU, Rai, RK, Rajsic, S, Ram, U, Rana, SM, Rao, PV, Remuzzi, G, Rojas-Rueda, D, Ronfani, L, Roshandel, G, Roy, A, Ruhago, GM, Saeedi, MY, Sagar, R, Saleh, MM, Sanabria, JR, Santos, IS, Sarmiento-Suarez, R, Sartorius, B, Sawhney, M, Schutte, AE, Schwebel, DC, Seedat, S, Sepanlou, SG, Servan-Mori, EE, Shaikh, MA, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shibuya, K, Shin, HH, Sigfusdottir, ID, Silpakit, N, Silva, DA, Silveira, DG, Simard, EP, Sindi, S, Singh, JA, Singh, OP, Singh, PK, Skirbekk, V, Sliwa, K, Soneji, S, Sorensen, RJ, Soriano, JB, Soti, DO, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Sunguya, BF, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Talongwa, RT, Tavakkoli, M, Taye, B, Tedla, BA, Tekle, T, Shifa, GT, Temesgen, AM, Terkawi, AS, Tesfay, FH, Tessema, GA, Thapa, K, Thomson, AJ, Thorne-Lyman, AL, Tobe-Gai, R, Topor-Madry, R, Towbin, JA, Tran, BX, Dimbuene, ZT, Tsilimparis, N, Tura, AK, Ukwaja, KN, Uneke, CJ, Uthman, OA, Venketasubramanian, N, Vladimirov, SK, Vlassov, VV, Vollset, SE, Wang, L, Weiderpass, E, Weintraub, RG, Werdecker, A, Westerman, R, Wijeratne, T, Wilkinson, JD, Wiysonge, CS, Wolfe, CD, Won, S, Wong, JQ, Xu, G, Yadav, AK, Yakob, B, Yalew, AZ, Yano, Y, Yaseri, M, Yebyo, HG, Yip, P, Yonemoto, N, Yoon, SJ, Younis, MZ, Yu, C, Yu, S, Zaidi, Z, Zaki, MELS, Zeeb, H, Zhang, H, Zhao, Y, Zodpey, S, Zoeckler, L, Zuhlke, LJ, Lopez, AD, and Murray, CJ
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GBD 2015 HIV Collaborators - Abstract
BACKGROUND: Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. METHODS: For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. FINDINGS: Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1-3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5-2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6-40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7-1·9 million) in 2005, to 1·2 million deaths (1·1-1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. INTERPRETATION: Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030. Funding: We thank the countless individuals who have contributed to the Global Burden of Disease (GBD) Study 2015 in various capacities. We specifically thank Jeffrey Eaton and John Stover. HW and CJLM received funding for this study from the Bill & Melinda Gates Foundation; the National Institute of Mental Health, National Institutes of Health (NIH; R01MH110163); and the National Institute on Aging, NIH (P30AG047845). LJAR acknowledges the support of Qatar National Research Fund (NPRP 04-924-3-251) who provided the main funding for generating the data provided to the GBD-Institute for Health Metrics and Evaluation effort. BPAQ acknowledges institutional support from PRONABEC (National Program of Scholarship and Educational Loan), provided by the Peruvian government. DB is supported by the Bill & Melinda Gates Foundation (grant number OPP1068048). JDN was supported in his contribution to this work by a Fellowship from Fundacao para a Ciencia e a Tecnologia, Portugal (SFRH/BPD/92934/2013). KD is supported by a Wellcome Trust Fellowship in Public Health and Tropical Medicine (grant number 099876). TF received financial support from the Swiss National Science Foundation (SNSF; project number P300P3-154634). AG acknowledges funding from Sistema Nacional de Investigadores de Panama-SNI. PJ is supported by Wellcome Trust-DBT India Alliance Clinical and Public Health Intermediate Fellowship. MK receives research support from the Academy of Finland, the Swedish Research Council, Alzheimerfonden, Alzheimer's Research & Prevention Foundation, Center for Innovative Medicine (CIMED) at Karolinska Institutet South Campus, AXA Research Fund, Wallenberg Clinical Scholars Award from the Knut och Alice Wallenbergs Foundation, and the Sheika Salama Bint Hamdan Al Nahyan Foundation. AK's work was supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R&D&I and funded by the ISCIII (General Branch Evaluation and Promotion of Health Research), and the European Regional Development Fund (ERDF-FEDER). SML is funded by a National Institute for Health Research (NIHR) Clinician Scientist Fellowship (grant number NIHR/CS/010/014). HJL reports grants from the NIHR, EU Innovative Medicines Initiative, Centre for Strategic & International Studies, and WHO. WM is Program analyst, Population and Development, in the Peru Country Office of the United Nations Population Fund, which does not necessarily endorse this study. For UOM, funding from the German National Cohort Consortium (O1ER1511D) is gratefully acknowledged. KR reports grants from NIHR Oxford Biomedical Research Centre, NIHR Career Development Fellowship, and Oxford Martin School during the conduct of the study. GR acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group supported by the International Society of Nephrology (ISN). ISS reports grants from FAPESP (Brazilian public agency). RSS receives institutional support from Universidad de Ciencias Aplicadas y Ambientales, UDCA, Bogota Colombia. SS receives postdoctoral funding from the Fonds de la recherche en sante du Quebec (FRSQ), including its renewal. RTS was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI14/00894 from ISCIII-FEDER. PY acknowledges support from Strategic Public Policy Research (HKU7003-SPPR-12).
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- 2016
36. Body dysmorphic factors and mental health problems in people seeking rhinoplastic surgery
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JAVANBAKHT, M., NAZARI, A., JAVANBAKHT, A., and MOGHADDAM, L.
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Adult ,Male ,Young Adult ,Body dysmorphic disorder ,Case-Control Studies ,Mental Disorders ,Mental health problems ,Humans ,Female ,Rhinology ,Patient Acceptance of Health Care ,Rhinoplasty ,Body Dysmorphic Disorders - Abstract
SUMMARY There has been increasing number of requests for cosmetic rhinoplastic surgery among Iranian people in different age groups in recent years. One risk for people who undergo such plastic operations is the presence of body dysmorphic disorder (BDD), which can complicate the result and decrease the rate of satisfaction from surgery. This study aimed to investigate mental health problems in people seeking rhinoplastic surgery. In this case-control study, the scores of General Health Questionnaire (GHQ) and DCQ (Dysmorphic Concerns Questionnaire) were obtained from 50 individuals who were candidates for rhinoplasty, and the results were compared with a normal control group. The total GHQ score and scores in anxiety, depression, and social dysfunction sub-scales were higher among the study group. This was the same for the DCQ score. However, the scores of somatization sub-scale of GHQ were not significantly different between the two groups. Psychiatric evaluation of candidates for rhinoplasty seems necessary for prevention of unnecessary and repetitive surgical operations.
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- 2012
37. PCV112 COST UTILITY ANALYSIS OF TICAGRELOR REMOVAL BY CYTOSORB® IN PATIENTS REQUIRING EMERGENT OR URGENT CARDIAC SURGERY IN THE UK
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Javanbakht, M., Trevor, M., Rahimi, K., Branagan-Harris, M., Degener, F., Blanco, D.A., Preissing, F., Scheier, J., Cook, S.F., and Mortensen, E.
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- 2019
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38. The Effects of Vitamin D Supplementation on Glucose Control and Insulin Resistance in Patients with Diabetes Type 2: A Randomized Clinical Trial Study
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Yousefi Rad, E., Djalali, M., Koohdani, F., Saboor-Yaraghi, A. A., Eshraghian, M. R., Javanbakht, M. H., Saboori, S., Zarei, M., and Mohammad Javad Hosseinzadeh-Attar
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HbA1c ,lcsh:Public aspects of medicine ,Diabetes type 2 ,Original Article ,Insulin resistance ,lcsh:RA1-1270 ,Vitamin D - Abstract
Background: Vitamin D deficiency is prevalent in diabetes type 2 and this vitamin may be related to insulin action. This randomized controlled trial study was done to evaluate the effect of vitamin D supplementation on glucose control and insulin resistance in patients with diabetes type 2. Methods: Participants of this randomized clinical trial study consisted of 28 patients with type 2 diabetes who received 100 microgram (4000 IU) vitamin D and 30 diabetic patients who received placebo for 2 months between September 2012 and February 2013. The effect of vitamin D on glucose control was assessed by measuring HbA1c and insulin resistance as HOMA-IR at the baseline and the end of the intervention. Results: The results showed a significant decrease in HbA1c (from 7.29 ± 0.22 % to 6.76 ± 0.18 %, P
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- 2014
39. Evaluation of Vitamin D Status in Newly Diagnosed Pemphigus Vulgaris Patients
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Zarei, M., Javanbakht, M. H., Chams-Davatchi, C., Daneshpazhooh, M., Eshraghian, M. R., Hoda Derakhshanian, and Djalali, M.
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Calcitriol ,lcsh:Public aspects of medicine ,Pemphigus vulgaris ,Original Article ,lcsh:RA1-1270 ,Vitamin D - Abstract
Background Pemphigus vulgaris (PV) is an autoimmune blistering disorder of the skin or mucosa. Since low vitamin D status has been linked to many immune disorders, we designed this study to compare the vitamin D status in PV patients with healthy controls. Methods In this case-control study, vitamin D status of 32 newly diagnosed PV patients was compared with 36 healthy control subjects. All patients were selected from the specialized dermatology departments of Razi Hospital, Tehran University of Medical Sciences in a 2-year period (2009–2010). The severity of the disease was estimated according to Harman’s scores. Serum concentration of 25(OH)D was measured by Roche Elecsys System. Data were analyzed by independent t-test. Results Both groups were similar based on sex, age and body mass index. The mean duration of disease was 5.57±0.93 months. The mean oral and skin severities were 1.81±0.20 and 2.31±0.17 respectively, based on Harman’s scores. Serum 25(OH)D was significantly lower in PV patients compared to controls (-8.90; 95% CI, 2.29-15.51 and P = 0.009). There was a negative correlation between vitamin D level and the oral severity of disease (r = -0.39 and P = 0.02). Conclusion PV patients had significantly lower serum level of 25(OH)D compared to healthy subjects which might contribute to worsen the disease. These data indicate the importance of improving vitamin D level in pemphigus patients.
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- 2014
40. Presence of Atrazine in the Biological Samples of Cattle and Its Consequence Adversity in Human Health
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Peighambarzadeh, S. Z., Safi, S., Seyed J Shahtaheri, Javanbakht, M., and Rahimi Forushani, A.
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lcsh:Public aspects of medicine ,food and beverages ,Molecular imprinted polymers ,Original Article ,Atrazine ,Cattle ,lcsh:RA1-1270 ,High performance liquid chromatography - Abstract
Background: Cattle can be considered as an important source for herbicides through nutrition. Therefore, herbicide residue in animal products is a potential human exposure to herbicides causing public health problems in human life. Triazines are a group of herbicides primarily used to control broadleaf weeds in corn and other feed ingredients and are considered as possible human carcinogens. To evaluate trace residue of these pollutants molecular imprinted solid phase extraction (MISPE) method has been developed, using biological samples. Methods: Blood samples were taken from the jugular vein of 45 Holstein cows in 3 commercial dairy farms in Khuzestan Province, Iran. Urine samples were also taken from the cows. Results: The mean ± SD concentrations of atrazine in serum and urine samples of the study group (0.739 ± 0.567 ppm and 1.389 ± 0.633 ppm, respectively) were higher (P < 0.05) than the concentrations in serum and urine samples of the control group (0.002 ± 0.005 ppm and 0.012 ± 0.026 ppm, respectively). Conclusion: Atrazine in the feed ingredients ingested by cattle could be transferred into the biological samples and consequently can be considered as a potential hazard for the public health.
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- 2011
41. Increases in gonorrhea--eight western states, 2000-2005
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Javanbakht, M., McClain, T., Klausner, J.D., Kent, C.K., Bolan, G., Samuel, M.C., Ohye, R.G., Lee, V.C., Schafer, S., Harger, D., Kerani, R., Rolfs, R.T., Lane, T., Stenger, M.R., Newman, L., Weinstock, H.S., Grant, J.S., and Barry, P.M.
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Americans -- Health aspects ,Americans -- Care and treatment ,Americans -- Demographic aspects ,Gonorrhea -- Causes of ,Gonorrhea -- Diagnosis ,Gonorrhea -- Health aspects ,Gonorrhea -- Care and treatment ,United States -- Demographic aspects - Abstract
Neisseria gonorrhoeae infection is the second most commonly reported notifiable disease in the United States (1). Gonorrhea increases the risk for pelvic inflammatory disease, infertility, ectopic pregnancy, and acquisition and [...]
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- 2007
42. PCN185 - Cost Utility Analysis of Single Fraction Versus Multiple Fraction Radiotherapy in Patients with Painful Bone Metastases; an Iranian Patient's Perspective Study
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Bayazidi, Y, Keshtkaran, A, Homaie Rad, E, Ansari, M, Javanbakht, M, Hashemi Meshkini, A, Nikfar, S, and Zaboli, P
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- 2017
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43. Influence of pulse operational parameters on pure nickel electrodeposits: Part II. Microhardness and corrosion resistance.
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Sajjadnejad, M., Omidvar, H., and Javanbakht, M.
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- 2017
- Full Text
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44. Issues around childhood disclosure of HIV status - findings from a qualitative study in West Bengal, India.
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Das, A., Detels, R., Javanbakht, M., and Panda, S.
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HIV infections & psychology ,CAREGIVERS ,DRUGS ,INTERVIEWING ,RESEARCH methodology ,MOTIVATION (Psychology) ,PARENTS ,PATIENT compliance ,STATISTICAL sampling ,SOCIAL stigma ,PSYCHOLOGICAL stress ,QUALITATIVE research ,DISCLOSURE ,SOCIAL support ,THEMATIC analysis ,DATA analysis software ,CHILDREN - Abstract
Introduction Informing the children living with HIV (CLH) about their disease (disclosure) is important from the perspective of disease treatment and overall psychosocial development. There are no published studies that qualitatively explored HIV disclosure-related issues among CLH in India. Our aim was to provide insights into the perceptions of informal caregivers of CLH regarding childhood disclosure. Methods Children were defined as those aged <16 years. In-depth interviews were conducted with 34 primary caregivers of CLH aged 8 to 15 years old who were residing in West Bengal, India. The participants were recruited with the help of a community-based organization that provides need-based services to people living with HIV. Results We obtained caregivers' perspectives on the motivators and barriers of childhood disclosure. Health benefits such as medication adherence emerged as an important motivator, while distress caused by disclosure and potential for stigma were identified as barriers. Health care providers were the preferred disclosers for most caregivers, followed by the caregivers themselves. Some caregivers wanted their child to learn about his/her HIV status by him/herself. There was no consensus among the caregivers about the ideal age for disclosure. Many preferred to wait until the child attained maturity or was of marriageable age. Discussion Disclosure of HIV status to children is an emotional issue, both for the caregiver and the child. Like most low-or middle-income countries, no standardized, age-appropriate disclosure guidelines exist in India. Our findings advocate adoption of a multi-faceted approach, including increased availability of social and familial support, for childhood HIV disclosure. [ABSTRACT FROM AUTHOR]
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- 2016
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45. The effect of sintering temperature on the structure and mechanical properties of medical-grade powder metallurgy stainless steels.
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Javanbakht, M., Salahinejad, E., and Hadianfard, M.J.
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SINTERING , *TEMPERATURE effect , *POWDERS , *MECHANICAL behavior of materials , *POWDER metallurgy , *STAINLESS steel - Abstract
Nanostructured medical-grade stainless steel powders with the chemical composition of ASTM F2581 were liquid-phase sintered with 6 wt.% Mn–Si additive at different temperatures ranging from 1000 °C to 1300 °C. The effect of sintering temperature on the structure and mechanical properties of the samples was investigated. Structural characteristics like porosity, austenite crystallite/grain size, and retained ferrite were analyzed by optical microscopy, Archimedes densitometry, X-ray diffraction, transmission electron microscopy, and ferritometry. The corresponding results showed that residual porosity in the sintered specimens was reduced by increasing the sintering temperature; in contrast, the crystallite/grain sizes were enhanced. The study of the mechanical properties, including hardness, compressive, and abrasive wear behaviors, of the samples indicated that the optimum mechanical properties were obtained for the sintering temperature of 1150 °C, which were superior to those of AISI 316L stainless steel used as a conventional biomaterial. [ABSTRACT FROM AUTHOR]
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- 2016
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46. Microstructure and mechanical properties of a new group of nanocrystalline medical-grade stainless steels prepared by powder metallurgy.
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Javanbakht, M., Hadianfard, M.J., and Salahinejad, E.
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- *
METAL microstructure , *MECHANICAL properties of metals , *NANOCRYSTALS , *METAL analysis , *STAINLESS steel , *POWDER metallurgy , *X-ray diffraction - Abstract
This paper focuses on the structure and mechanical properties of powder metallurgy stainless steels (Fe–Cr–Mn–Mo–Si–N–C) developed for biomedical applications. The samples were prepared by mechanical alloying and subsequent liquid-phase sintering with a eutectic Mn–Si alloy additive. By changing the sintering aid content, the pore configuration, compressive strengths, and impact properties of the samples were assessed. The Rietveld X-ray diffraction analysis showed after sintering at 1050 °C for 60 min followed by water-quenching, a nanocrystalline austenitic structure was formed in the material. According to the mechanical experiments, by increasing the additive content from 0 wt% to 6 wt%, sintering densification, yield stress, compression strength, and absorbed impact energy were improved, where spoiling occurred when adding 8 wt% additive. Also, as realized from the impact fracture surface features, despite the presence of some unmelted additive particles, the role of the pore elimination in toughness prevailed over that of these particles. [ABSTRACT FROM AUTHOR]
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- 2015
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47. Electrodeposition of Cu-Sn alloys: theoretical and experimental approaches.
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Heidari, G., Mousavi Khoie, S., Abrishami, M., and Javanbakht, M.
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COPPER alloys ,ALLOY plating ,AQUEOUS electrolytes ,MOLYBDENUM ,ELECTRODES - Abstract
In this study, Cu-Sn alloy was electrodeposited from aqueous electrolytic bath onto Mo electrode. Before electrodeposition, some calculations using MATLAB software to obtain the dominant complex of Cu-citrate in different pH values and cyclic voltammetry (CV) experiments was performed. The potential range in which the alloy electrodeposition process could be carried out in a solution containing CuSO, SnSO, and NaCHO was determined by CV. In addition, the effects of boric acid and cetyl trimethyl ammonium bromide (CTAB) surfactant on codeposition potential were studied. The microstructural properties and alloy composition were investigated by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS), respectively. Alloy composition up to 49.5 at.% of Sn was obtained. Alloy composition of 33 at.% Sn corresponding to CuSnS was obtained at solution containing 0.04 M SnSO, 0.02 M CuSO and 0.4 M NaCHO at Potential −0.75 V. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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48. A New Method for Enterprise Architecture Assessment and Decision-Making about Improvement or Redesign.
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Javanbakht, M., Pourkamali, M., and Derakhshi, M.-R.F.
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- 2009
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49. A New Method for Decision Making and Planning in Enterprises.
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Javanbakht, M., Rezaie, R., Shams, F., and Seyyedi, M.
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- 2008
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50. Direct current electrodeposition of Zn and Zn-SiC nanocomposite coatings.
- Author
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Sajjadnejad, M., Omidvar, H., Javanbakht, M., Pooladi, R., and Mozafari, A.
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ELECTROFORMING ,ELECTROPLATING ,ZINC plating ,NANOCOMPOSITE materials ,ZINC sulfate ,CURRENT density (Electromagnetism) ,POLARIZATION (Electricity) - Abstract
Pure Zn and Zn matrix composite coatings containing nano-sized SiC particles with an average size of 50 nm were prepared from the zinc sulphate bath. The effect of the particle concentration and current density on the amount of particles embedded was examined. Electron microscopic studies revealed that the coating morphology was modified by the presence of SiC nanoparticles. Corrosion resistance properties of the coatings were studied using a potentiodynamic polarisation technique in 1M NaCl solution. It was established that agglomeration of nanoparticles worsens corrosion resistance properties of Zn-SiC coatings. However, the presence of well dispersed nanoparticles significantly improves the corrosion resistance of the zinc. Incorporation of SiC nanoparticles also improves the microhardness of the zinc matrix. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
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