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4. The global distribution of special needs dentistry across dental school curricula

Author

Scepanovic, T, Mati, S, Ming, ALC, Yeo, PYS, Nguyen, D, Aria, M, D'aniello, L, Fung, D, Muriithi, E, Mamgain, A, Zihao, W, Zeng, JH, Nichols, A, McCullough, M, Lim, MAW, Wylie, M, Yap, T, Paolini, R, Celentano, A, Scepanovic, T, Mati, S, Ming, ALC, Yeo, PYS, Nguyen, D, Aria, M, D'aniello, L, Fung, D, Muriithi, E, Mamgain, A, Zihao, W, Zeng, JH, Nichols, A, McCullough, M, Lim, MAW, Wylie, M, Yap, T, Paolini, R, and Celentano, A

Abstract

INTRODUCTION: Special needs dentistry (SND) is an emerging dental specialty, with ongoing developments in education and clinical practice focused towards the tailored management of individuals with special needs (SN). Patients with SN have a higher prevalence of oral diseases and unmet dental needs compared to the general population. Although inadequate training and experience in managing patients with SN has been highlighted as a significant barrier to accessing care, there is limited data about the extent of SND teaching at the entry-to-practice or higher levels. METHODS: This work is the first to map SND curricula globally, across 180 countries and 1265 dental schools. RESULTS: Although 74.62% of dental schools were found in developing economies, the distribution of programs that reported SND in their courses was highly skewed towards developed countries. In terms of advanced degrees, beyond basic entry-to-practice training, the USA delivered 60% of the SND programs, followed by Canada (15.56%), UK (13.33%), and Australia (8.89%). The term SND appeared in 33.95% of entry-to-practice level program curricula and was less commonly used in transitioning economies. Only 112 SND-specialized practitioners enter the workforce globally each year from developed economies, and all but three advanced degrees are found in G7 countries. CONCLUSION: By exploring the impact of economic status on its distribution, this paper highlighted the lack of SND representation in dental curricula, especially amongst programs in transitioning or developing economies. Education of both general dentists and specialists is critical as a collaborative effort is needed to manage the growing population of patients with SN.

Published
2024

14. Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire‐9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta‐analysis

Author

Neupane, D., Levis, B., Bhandari, P.M., Thombs, B.D., Benedetti, A., Sun, Y., He, C., Wu, Y., Krishnan, A., Negeri, Z., Imran, M., Rice, D.B., Riehm, K.E., Saadat, N., Azar, M., Sanchez, T.A., Chiovitti, M.J., Levis, A.W., Boruff, J.T., Cuijpers, P., Gilbody, S., Ioannidis, J.P.A., Kloda, L.A., Patten, S.B., Shrier, I., Ziegelstein, R.C., Comeau, L., Mitchell, N.D., Tonelli, M., Vigod, S.N., Akena, D.H., Alvarado, R., Arroll, B., Bakare, M.O., Baradaran, H.R., Beck, C.T., Bombardier, C.H., Bunevicius, A., Carter, G., Chagas, M.H., Chaudron, L.H., Cholera, R., Clover, K., Conwell, Y., Castro e Couto, T., de Man-van Ginkel, J.M., Delgadillo, J., Fann, J.R., Favez, N., Fung, D., Garcia-Esteve, L., Gelaye, B., Goodyear-Smith, F., Hyphantis, T., Inagaki, M., Ismail, K., Jetté, N., Khalifa, D.S., Khamseh, M.E., Kohlhoff, J., Kozinszky, Z., Kusminskas, L., Liu, S.-I., Lotrakul, M., Loureiro, S.R., Löwe, B., Sidik, S.M., Nakić Radoš, S., Osório, F.L., Pawlby, S.J., Pence, B.W., Rochat, T.J., Rooney, A.G., Sharp, D.J., Stafford, L., Su, K.-P., Sung, S.C., Tadinac, M., Darius Tandon, S., Thiagayson, P., Töreki, A., Torres-Giménez, A., Turner, A., van der Feltz-Cornelis, C.M., Vega Dienstmaier, Johann Martín, Vöhringer, P.A., White, J., Whooley, M.A., Winkley, K., Yamada, M., DEPRESsion Screening Data (DEPRESSD) Collaboration, Clinical Psychology, World Health Organization (WHO) Collaborating Center, APH - Global Health, and APH - Mental Health

Subjects
Astrophysics::High Energy Astrophysical Phenomena, Bivariate analysis, Patient Health Questionnaire, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, male, diagnostic test accuracy, individual participant data meta‐analysis, meta‐analysis, publication bias, selective cutoff reporting, Bias, Statistics, Humans, Cutoff, Medicine, controlled study, Edinburgh Postnatal Depression Scale, diagnostic test accuracy study, human, Psychiatric Status Rating Scales, Depressive Disorder, Major, business.industry, adult, Individual participant data, article, Original Articles, Publication bias, Random effects model, individual participant data meta-analysis, 030227 psychiatry, meta-analysis, Psychiatry and Mental health, female, Meta-analysis, diagnostic accuracy, Original Article, business, 030217 neurology & neurosurgery, meta analysis, Patient Health Questionnaire 9
Abstract

Objectives\ud \ud Selectively reported results from only well-performing cutoffs in diagnostic accuracy studies may bias estimates in meta-analyses. We investigated cutoff reporting patterns for the Patient Health Questionnaire-9 (PHQ-9; standard cutoff 10) and Edinburgh Postnatal Depression Scale (EPDS; no standard cutoff, commonly used 10–13) and compared accuracy estimates based on published cutoffs versus all cutoffs.\ud \ud \ud \ud Methods\ud \ud We conducted bivariate random effects meta-analyses using individual participant data to compare accuracy from published versus all cutoffs.\ud \ud \ud \ud Results\ud \ud For the PHQ-9 (30 studies, N = 11,773), published results underestimated sensitivity for cutoffs below 10 (median difference: −0.06) and overestimated for cutoffs above 10 (median difference: 0.07). EPDS (19 studies, N = 3637) sensitivity estimates from published results were similar for cutoffs below 10 (median difference: 0.00) but higher for cutoffs above 13 (median difference: 0.14). Specificity estimates from published and all cutoffs were similar for both tools. The mean cutoff of all reported cutoffs in PHQ-9 studies with optimal cutoff below 10 was 8.8 compared to 11.8 for those with optimal cutoffs above 10. Mean for EPDS studies with optimal cutoffs below 10 was 9.9 compared to 11.8 for those with optimal cutoffs greater than 10.\ud \ud \ud \ud Conclusion\ud \ud Selective cutoff reporting was more pronounced for the PHQ-9 than EPDS.

Published
2021
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17. Outcomes of obstructed abdominal wall hernia: results from the UK national small bowel obstruction audit

Author

Lee, MJ, Drake, TM, Sayers, AE, Walsh, CJ, Davies, MM, Fearnhead, NS, Abercrombie, J, Acheson, A, Alderson, D, Anderson, I, Bach, S, Davies, M, Hamady, Z, Hind, D, Hollyman, M, Hare, S, Lee, E, Northover, J, Lewis, C, Marriott, P, Maynard, N, Murray, D, Tierney, G, Verjee, A, Wild, J, Abbott, S, Abdulaal, Y, Afshar, S, Ah‐Chuen, J, Ahmed, T, Akhtar, M, Akram, F, Aldred, E, Ali, A, Aly, M, Amajuoyi, A, Amin, V, Anderson, D, Anderson, O, Andreou, A, Ansari, A, Appleton, S, Ardley, R, Arshad, F, Ashour, O, Asour, A, Athem, A, Athersmith, M, Ayoub, F, Azeem, H, Azhar, B, Badenoch, T, Baillie, C, Bandyopadhyay, D, Barker, J, Barker, S, Barkham, B, Baron, R, Barrie, J, Barry‐Yarrow, E, Bashir, G, Battersby, N, Bazoua, G, Behar, N, Bellam, S, Berger, C, Bhandari, S, Bhasin, S, Biggs, S, Bisset, C, Blake, L, Blencowe, N, Boam, T, Boddy, A, Boereboom, C, Bogdan, M, Bogle, R, Bohra, P, Boland, M, Bolkan, H, Borg, C, Boulton, R, Bouras, G, Boyer, M, Boyle, J, Branagan, G, Brewer, H, Briggs, C, Broadhurst, J, Brown, E, Brown, J, Brown, L, Brown, O, Burns, K, Butcher, K, Butler, M, Byrne, B, Campbell, L, Capper, C, Cartmell, M, Cash, T, Chan, S, Chandratreya, N, Chapman, J, Chapman, S, Charalabopoulos, A, Cheek, C, Chok, S, Choong, W, Chow, M, Chowdhury, J, Coe, P, Conaghan, P, Conn, G, Cook, N, Cook, T, Cooper, S, Cornish, J, Cotton, D, Cox, C, Coyne, P, Crook, R, Crozier, J, Cuffolo, G, Cunha, P, Curtis, N, Cutting, J, Da Costa, K, Silva, L, Das, B, Davenport, M, Davies, J, Davies, T, Day, A, Dayal, S, Dean, S, Demetriou, G, Dengu, F, Dennis, R, Dent, H, Dent, P, Deputy, M, Devoto, L, Di Benedetto, G, Dindyal, S, Donnelly, E, Doody, P, Douka, E, Downham, C, Dowson, H, Edent, H, Edgerton, K, Ekpete, N, El Farran, M, Elamin, O, Eljaafari, M, Elsaid, N, El‐Sharif, M, Evans, J, Evans, M, Ewe, R, Ewing, A, Exarchou, K, Fallaize, R, Faoury, M, Farag, S, Farinella, E, Faulkner, G, Ferguson, H, Fisher, O, Fletcher, J, Forouzanfar, A, Foster, A, Fox, R, Francis, N, Fretwell, V, Fung, D, Gammeri, E, Garnham, J, Geraghty, A, Gilbert, A, Gill, C, Gill, M, Gillespie, M, Giordano, P, Glasbey, J, Goh, M, Golder, A, Green, N, Gregoir, T, Grey, T, Groundwater, E, Grove, T, Growcott, S, Gunasekaran, S, Habib, H, Haddow, J, Halahakoon, V, Halkias, C, Hall, C, Hampson, A, Hancock, L, Hanna, T, Hannay, J, Harikrishnan, A, Harries, R, Harris, G, Hartley, J, Harvey, K, Hawkin, P, Hawkins, J, Healy, R, Heard, R, Heartshorne, R, Heller, S, Hendra, L, Herrod, P, Heywood, N, Hicks, G, Hobson, B, Holtham, S, Hope, C, Hopley, P, Hossain, T, Hossaini, S, Howse, F, Hubbard, T, Humphreys, A, Ikram, H, Ioannis, M, Iqbal, M, Iqbal, N, Jain, R, Jatania, J, Jenkinson, P, Jokhan, S, Jones, A, Jones, C, Jones, L, Joshi, H, Joshi, K, Joy, M, Jull, P, Kakaniaris, G, Kallam, R, Kane, E, Kang, P, Kanitkar, R, Kauser, S, Kazmi, F, Kedrzycki, M, Kelly, S, Kendall, J, Khan, M, Khan, T, King, G, Kisiel, A, Kitsis, C, Kolawole, I, Korambayil, S, Kosasih, S, Kosti, A, Kotb, A, Kouris, S, Kshatriya, K, Kumar, S, Lafaurie, G, Lal, R, Lau, A, Lazim, T, Lazzaro, A, Lee, K, Lefroy, R, Leinhardt, D, Lennon, H, Leong, K, Levy, B, Lim, E, Lim, J, Lindley, S, Liu, D, Lloyd, P, Locker, D, Lockwood, S, Lowe, C, Lund, J, Lunevicius, R, Lunt, A, Lutfi, S, Luther, A, Luwemba, S, Mahankali‐Rao, P, Mahroof, S, Mai, D, Majid, S, Malik, A, Malik, K, Mann, K, Mansour, S, Manu, N, Mapara, R, Martin, C, Martin, J, Martin, R, Mason, C, Massey, L, Mathias, J, Mathur, P, Maude, K, McArthur, D, McCain, S, McCluney, S, McFall, M, McIlroy, B, McKay, S, McKinley, N, McNair, A, McWhirter, D, Mekhail, P, Mellor, K, Merchant, J, Merker, L, Messenger, D, Miles, A, Mir, S, Mishra, A, Mistry, P, Miu, V, Moat, M, Mockford, K, Mohamed, E, Mohamed, I, Mondragon‐Pritchard, M, Moore, N, Moretti, L, Morris, H, Morrison, T, Morrison‐Jones, V, Moss, J, Moug, S, Mountford, D, Moynihan, R, Muhammad, K, Muldoon‐Smith, D, Mulholland, J, Mullan, M, Murgitroyd, E, Murugaiyan, K, Myers, A, Mykoniatis, I, Nana, G, Nash, T, Nassar, A, Newton, R, Ng, C, Ng, P, Nguyen, K, Nicholas, F, Noor, M, Nowers, J, Nugent, C, Nunn, A, Nunn, R, Obeid, N, O'Callaghan, J, O'Hara, R, Oke, O, Olivier, J, O'Neill, A, O'Neill, S, Osei‐Bordom, D, Osgood, L, Panagiotopoulos, S, Panchasara, B, Parks, R, Patel, H, Patel, P, Patel, R, Patel, S, Pawelec, K, Payne, C, Pearson, K, Perin, G, Peristerakis, I, Petronio, B, Phelan, L, Phillips, J, Pisaneschi, C, Pitt, J, Plunkett‐Reed, K, Ponchietti, L, Pouzi, A, Pouzi, M, Powell, A, Powell‐Chandler, A, Pranesh, N, Proctor, V, Pywell, S, Qureshi, A, Qureshi, N, Rahman, M, Rai, Z, Ramcharan, S, Rangarajan, K, Rashid, M, Reader, H, Rehman, A, Rehman, S, Rengifo, C, Richards, E, Richardson, N, Robinson, A, Robinson, D, Rossi, B, Rutherford, F, Sadien, I, Saghir, T, Sahnan, K, Salahia, G, Sarveswaran, J, Saunders, M, Scott, B, Scott, K, Seager, A, Seal, S, Sezen, E, Shaban, F, Shah, P, Shahmohammadi, M, Shamsiddinova, A, Shankar, S, Sharpe, A, Shatkar, V, Sheel, A, Shields, T, Shinkwin, M, Shurmer, J, Siddika, A, Siddiqui, S, Simson, R, Sinclair, P, Singh, B, Singh, S, Sivaraj, J, Skaife, P, Skelly, B, Skinner, A, Slim, N, Smart, C, Smart, N, Smith, F, Smith, I, Smith, R, Spence, G, Sreedhar, A, Steinke, J, Stevenson, L, Stewart‐Parker, E, Stott, M, Stubbs, B, Stylianides, N, Subramonia, S, Swinkin, M, Swinscoe, M, Symons, N, Tahir, W, Taj, T, Takacs, K, Tam, J, Tan, K, Tani, S, Tanner, N, Tao, D, Taylor, M, Thava, B, Thippeswamy, K, Thomas, C, Thompson, E, Thompson, R, Thompson‐Reil, C, Thorn, C, Tongo, F, Toth, G, Turnbull, A, Turnbull, J, Valero, C, Boxel, G, Varcada, M, Venn, M, Ventham, N, Venza, M, Vimalachandran, D, Virlos, I, Wade, T, Wafi, A, Waite, K, Walker, M, Walker, N, Walker, T, Walsh, U, Wardle, S, Warner, R, Watfah, J, Watson, N, Watt, J, Watts, J, Wayman, J, Weegenaar, C, West, H, West, M, Whitehurst, L, Whyler, M, Wiggans, M, Wijeyekoon, S, Williams, G, Williams, R, Williamson, A, Williamson, J, Wilson, J, Winter, A, Wolpert, L, Wong, J, Yeap, E, Yeong, T, Zaman, S, Zappa, B, and Zosimas, D

Subjects
Adult, Male, medicine.medical_specialty, National Audit of Small Bowel Obstruction Steering Group and National Audit of Small Bowel Obstruction Collaborators, Incisional hernia, lcsh:Surgery, 030230 surgery, Abdominal wall, 03 medical and health sciences, 0302 clinical medicine, Postoperative Complications, NASBO Collaborators, medicine, Humans, Hernia, Hospital Mortality, General, Emergency Treatment, Aged, Proportional Hazards Models, Aged, 80 and over, Groin, business.industry, Mortality rate, Hazard ratio, West Midlands Research Collaborative, General Medicine, Odds ratio, Original Articles, lcsh:RD1-811, Middle Aged, medicine.disease, Quality Improvement, United Kingdom, Surgery, Hernia, Abdominal, Bowel obstruction, medicine.anatomical_structure, Logistic Models, 030220 oncology & carcinogenesis, Original Article, Female, business, NASBO Steering Group, Intestinal Obstruction
Abstract

Background Abdominal wall hernia is a common surgical condition. Patients may present in an emergency with bowel obstruction, incarceration or strangulation. Small bowel obstruction (SBO) is a serious surgical condition associated with significant morbidity. The aim of this study was to describe current management and outcomes of patients with obstructed hernia in the UK as identified in the National Audit of Small Bowel Obstruction (NASBO). Methods NASBO collated data on adults treated for SBO at 131 UK hospitals between January and March 2017. Those with obstruction due to abdominal wall hernia were included in this study. Demographics, co‐morbidity, imaging, operative treatment, and in‐hospital outcomes were recorded. Modelling for factors associated with mortality and complications was undertaken using Cox proportional hazards and multivariable regression modelling. Results NASBO included 2341 patients, of whom 415 (17·7 per cent) had SBO due to hernia. Surgery was performed in 312 (75·2 per cent) of the 415 patients; small bowel resection was required in 198 (63·5 per cent) of these operations. Non‐operative management was reported in 35 (54 per cent) of 65 patients with a parastomal hernia and in 34 (32·1 per cent) of 106 patients with an incisional hernia. The in‐hospital mortality rate was 9·4 per cent (39 of 415), and was highest in patients with a groin hernia (11·1 per cent, 17 of 153). Complications were common, including lower respiratory tract infection in 16·3 per cent of patients with a groin hernia. Increased age was associated with an increased risk of death (hazard ratio 1·05, 95 per cent c.i. 1·01 to 1·10; P = 0·009) and complications (odds ratio 1·05, 95 per cent c.i. 1·02 to 1·09; P = 0·001). Conclusion NASBO has highlighted poor outcomes for patients with SBO due to hernia, highlighting the need for quality improvement initiatives in this group., This study shows that small bowel obstruction due to abdominal wall hernia is common, typically involves a co‐morbid group of patients and has poor outcomes, including high mortality rates. High mortality from this problem

Published
2020

18. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis

Author

Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Imran M, Brehaut E, Negeri Z, Fischer FH, Benedetti A, Thombs BD, Depression Screening Data (DEPRESSD) PHQ Collaboration, Che L, Levis A, Riehm K, Saadat N, Azar M, Rice D, Boruff J, Kloda L, Cuijpers P, Gilbody S, Ioannidis J, McMillan D, Patten S, Shrier I, Ziegelstein R, Moore A, Akena D, Amtmann D, Arroll B, Ayalon L, Baradaran H, Beraldi A, Bernstein C, Bhana A, Bombardier C, Buji RI, Butterworth P, Carter G, Chagas M, Chan J, Chan LF, Chibanda D, Cholera R, Clover K, Conway A, Conwell Y, Daray F, de Man-van Ginkel J, Delgadillo J, Diez-Quevedo C, Fann J, Field S, Fisher J, Fung D, Garman E, Gelaye B, Gholizadeh L, Gibson L, Goodyear-Smith F, Green E, Greeno C, Hall B, Hampel P, Hantsoo L, Haroz E, Harter M, Hegerl U, Hides L, Hobfoll S, Honikman S, Hudson M, Hyphantis T, Inagaki M, Ismail K, Jeon HJ, Jetté N, Khamseh M, Kiely K, Kohler S, Kohrt B, Kwan Y, Lamers F, Asunción Lara M, Levin-Aspenson H, Lino V, Liu S-I, Lotrakul M, Loureiro S, Löwe B, Luitel N, Lund C, Marrie RA, Marsh L, Marx B, McGuire A, Mohd Sidik S, Munhoz T, Muramatsu K, Nakku J, Navarrete L, Osório F, Patel V, Pence B, Persoons P, Petersen I, Picardi A, Pugh S, Quinn T, Rancans E, Rathod S, Reuter K, Roch S, Rooney A, Rowe H, Santos I, Schram M, Shaaban J, Shinn E, Sidebottom A, Simning A, Spangenberg L, Stafford L, Sung S, Suzuki K, Swartz R, Tan PLL, Taylor-Rowan M, Tran T, Turner A, van der Feltz-Cornelis C, van Heyningen T, van Weert H, Wagner L, Li Wang J, White J, Winkley K, Wynter K, Yamada M, Zhi Zeng Q, and Zhang Y

Subjects
Adult, Male, Depressive Disorder, Major, Patient Health Questionnaire, behavioral disciplines and activities, Sensitivity and Specificity, humanities, Interviews as Topic, ROC Curve, General & Internal Medicine, mental disorders, Humans, Mass Screening, Female, 11 Medical and Health Sciences
Abstract

Importance:The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9. Objective:To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression. Data Sources:MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-May 2018). Study Selection:Eligible data sets compared PHQ-2 scores with major depression diagnoses from a validated diagnostic interview. Data Extraction and Synthesis:Individual participant data were synthesized with bivariate random-effects meta-analysis to estimate pooled sensitivity and specificity of the PHQ-2 alone among studies using semistructured, fully structured, or Mini International Neuropsychiatric Interview (MINI) diagnostic interviews separately and in combination with the PHQ-9 vs the PHQ-9 alone for studies that used semistructured interviews. The PHQ-2 score ranges from 0 to 6, and the PHQ-9 score ranges from 0 to 27. Results:Individual participant data were obtained from 100 of 136 eligible studies (44 318 participants; 4572 with major depression [10%]; mean [SD] age, 49 [17] years; 59% female). Among studies that used semistructured interviews, PHQ-2 sensitivity and specificity (95% CI) were 0.91 (0.88-0.94) and 0.67 (0.64-0.71) for cutoff scores of 2 or greater and 0.72 (0.67-0.77) and 0.85 (0.83-0.87) for cutoff scores of 3 or greater. Sensitivity was significantly greater for semistructured vs fully structured interviews. Specificity was not significantly different across the types of interviews. The area under the receiver operating characteristic curve was 0.88 (0.86-0.89) for semistructured interviews, 0.82 (0.81-0.84) for fully structured interviews, and 0.87 (0.85-0.88) for the MINI. There were no significant subgroup differences. For semistructured interviews, sensitivity for PHQ-2 scores of 2 or greater followed by PHQ-9 scores of 10 or greater (0.82 [0.76-0.86]) was not significantly different than PHQ-9 scores of 10 or greater alone (0.86 [0.80-0.90]); specificity for the combination was significantly but minimally higher (0.87 [0.84-0.89] vs 0.85 [0.82-0.87]). The area under the curve was 0.90 (0.89-0.91). The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%). Conclusions and Relevance:In an individual participant data meta-analysis of studies that compared PHQ scores with major depression diagnoses, the combination of PHQ-2 (with cutoff ≥2) followed by PHQ-9 (with cutoff ≥10) had similar sensitivity but higher specificity compared with PHQ-9 cutoff scores of 10 or greater alone. Further research is needed to understand the clinical and research value of this combined approach to screening.

Published
2020

19. Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta-analysis

Author

Neupane, D, Levis, B, Bhandari, PM, Thombs, BD, Benedetti, A, Sun, Y, He, C, Wu, Y, Krishnan, A, Negeri, Z, Imran, M, Rice, DB, Riehm, KE, Saadat, N, Azar, M, Sanchez, TA, Chiovitti, MJ, Levis, AW, Boruff, JT, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, Patten, SB, Shrier, I, Ziegelstein, RC, Comeau, L, Mitchell, ND, Tonelli, M, Vigod, SN, Akena, DH, Alvarado, R, Arroll, B, Bakare, MO, Baradaran, HR, Beck, CT, Bombardier, CH, Bunevicius, A, Carter, G, Chagas, MH, Chaudron, LH, Cholera, R, Clover, K, Conwell, Y, Castro e Couto, T, de Man-van Ginkel, JM, Delgadillo, J, Fann, JR, Favez, N, Fung, D, Garcia-Esteve, L, Gelaye, B, Goodyear-Smith, F, Hyphantis, T, Inagaki, M, Ismail, K, Jetté, N, Khalifa, DS, Khamseh, ME, Kohlhoff, J, Kozinszky, Z, Kusminskas, L, Liu, SI, Lotrakul, M, Loureiro, SR, Löwe, B, Sidik, SM, Nakić Radoš, S, Osório, FL, Pawlby, SJ, Pence, BW, Rochat, TJ, Rooney, AG, Sharp, DJ, Stafford, L, Su, KP, Sung, SC, Tadinac, M, Darius Tandon, S, Thiagayson, P, Töreki, A, Torres-Giménez, A, Turner, Alyna, van der Feltz-Cornelis, CM, Vega-Dienstmaier, JM, Vöhringer, PA, White, J, Whooley, MA, Winkley, K, Yamada, M, Neupane, D, Levis, B, Bhandari, PM, Thombs, BD, Benedetti, A, Sun, Y, He, C, Wu, Y, Krishnan, A, Negeri, Z, Imran, M, Rice, DB, Riehm, KE, Saadat, N, Azar, M, Sanchez, TA, Chiovitti, MJ, Levis, AW, Boruff, JT, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, Patten, SB, Shrier, I, Ziegelstein, RC, Comeau, L, Mitchell, ND, Tonelli, M, Vigod, SN, Akena, DH, Alvarado, R, Arroll, B, Bakare, MO, Baradaran, HR, Beck, CT, Bombardier, CH, Bunevicius, A, Carter, G, Chagas, MH, Chaudron, LH, Cholera, R, Clover, K, Conwell, Y, Castro e Couto, T, de Man-van Ginkel, JM, Delgadillo, J, Fann, JR, Favez, N, Fung, D, Garcia-Esteve, L, Gelaye, B, Goodyear-Smith, F, Hyphantis, T, Inagaki, M, Ismail, K, Jetté, N, Khalifa, DS, Khamseh, ME, Kohlhoff, J, Kozinszky, Z, Kusminskas, L, Liu, SI, Lotrakul, M, Loureiro, SR, Löwe, B, Sidik, SM, Nakić Radoš, S, Osório, FL, Pawlby, SJ, Pence, BW, Rochat, TJ, Rooney, AG, Sharp, DJ, Stafford, L, Su, KP, Sung, SC, Tadinac, M, Darius Tandon, S, Thiagayson, P, Töreki, A, Torres-Giménez, A, Turner, Alyna, van der Feltz-Cornelis, CM, Vega-Dienstmaier, JM, Vöhringer, PA, White, J, Whooley, MA, Winkley, K, and Yamada, M

Abstract

Objectives: Selectively reported results from only well-performing cutoffs in diagnostic accuracy studies may bias estimates in meta-analyses. We investigated cutoff reporting patterns for the Patient Health Questionnaire-9 (PHQ-9; standard cutoff 10) and Edinburgh Postnatal Depression Scale (EPDS; no standard cutoff, commonly used 10–13) and compared accuracy estimates based on published cutoffs versus all cutoffs. Methods: We conducted bivariate random effects meta-analyses using individual participant data to compare accuracy from published versus all cutoffs. Results: For the PHQ-9 (30 studies, N = 11,773), published results underestimated sensitivity for cutoffs below 10 (median difference: −0.06) and overestimated for cutoffs above 10 (median difference: 0.07). EPDS (19 studies, N = 3637) sensitivity estimates from published results were similar for cutoffs below 10 (median difference: 0.00) but higher for cutoffs above 13 (median difference: 0.14). Specificity estimates from published and all cutoffs were similar for both tools. The mean cutoff of all reported cutoffs in PHQ-9 studies with optimal cutoff below 10 was 8.8 compared to 11.8 for those with optimal cutoffs above 10. Mean for EPDS studies with optimal cutoffs below 10 was 9.9 compared to 11.8 for those with optimal cutoffs greater than 10. Conclusion: Selective cutoff reporting was more pronounced for the PHQ-9 than EPDS.

Published
2021

22. Antimicrobial activity and synergistic effect of cinnamon with sodium benzoate or potassium sorbate in controlling Escherichia coli 0157:H7 in apple juice

Author

Ceylan, E., Fung, D. Y. C., and Sabah, J. R.

Subjects
Cinnamon -- Influence, Escherichia coli -- Research, Business, Food/cooking/nutrition
Abstract

The implications of Escherichia coli 0157:H7 and the effects of cinnamon, benzoate, sorbate and combinations were examined against Escherichia coli 0157:H7 in apple juice. The results showed that addition of cinnamon to apple juice gradually decreased the number of E. coli 0157:H7.

Published
2004

26. National prospective cohort study of the burden of acute small bowel obstruction

Author

Lee, M. J., Sayers, A. E., Drake, T. M., Marriott, P. J., Anderson, I. D., Bach, S. P., Bradburn, M., Hind, D., Verjee, A., Fearnhead, N. S., Abercrombie, John, Acheson, Austin, Alderson, Derek, Anderson, Iain, Davies, Michael, Hamady, Zaed, Hollyman, Marianne, Hare, Sarah, Lee, Ellen, Northover, John, Lewis, Christopher, McFall, Malcolm, Murugananthan, Aravinth, Murray, David, Singh, Pritam, Tierney, Gillian, Walsh, Ciaran, Wild, Jonathan, Wilson, Timothy, Abbott, S, Abdulaal, Y, Afshar, S, Ah‐Chuen, J, Ahmed, T, Akhtar, M, Akram, F, Aldred, E, Ali, A, Aly, M, Amajuoyi, A, Amin, V, Anderson, D, Anderson, O, Andreou, A, Ansari, A, Appleton, S, Ardley, R, Arshad, F, Ashour, O, Asour, A, Athem, A, Athersmith, M, Ayoub, F, Azeem, H, Azhar, B, Badenoch, T, Baillie, C, Bandyopadhyay, D, Barker, J, Barker, S, Barkham, B, Baron, R, Barrie, J, Barry‐Yarrow, E, Bashir, G, Battersby, N, Bazoua, G, Behar, N, Bellam, S, Berger, C, Bhandari, S, Bhasin, S, Biggs, S, Bisset, C, Blake, L, Blencowe, N, Boam, T, Boddy, A, Boereboom, C, Bogdan, M, Bogle, R, Bohra, P, Boland, M, Bolkan, H, Borg, C, Boulton, R, Bouras, G, Boyer, M, Boyle, J, Branagan, G, Brewer, H, Briggs, C, Broadhurst, J, Brown, E, Brown, J, Brown, L, Brown, O, Burns, K, Butcher, K, Butler, M, Byrne, B, Campbell, L, Capper, C, Cartmell, M, Cash, T, Chan, S, Chandratreya, N, Chapman, J, Chapman, S, Charalabopoulos, A, Cheek, C, Chok, S, Choong, W, Chow, M, Chowdhury, J, Coe, P, Conaghan, P, Conn, G, Cook, N, Cook, T, Cooper, S, Cornish, J, Cotton, D, Cox, C, Coyne, P, Crook, R, Crozier, J, Cuffolo, G, Cunha, P, Curtis, N, Cutting, J, Da Costa, K, Silva, L, Das, B, Davenport, M, Davies, J, Davies, T, Day, A, Dayal, S, Dean, S, Demetriou, G, Dengu, F, Dennis, R, Dent, H, Dent, P, Deputy, M, Devoto, L, Di Benedetto, G, Dindyal, S, Donnelly, E, Doody, P, Douka, E, Downham, C, Dowson, H, Edent, H, Edgerton, K, Ekpete, N, El Farran, M, Elamin, O, Eljaafari, M, Elsaid, N, El‐Sharif, M, Evans, J, Evans, M, Ewe, R, Ewing, A, Exarchou, K, Fallaize, R, Faoury, M, Farag, S, Farinella, E, Faulkner, G, Ferguson, H, Fisher, O, Fletcher, J, Forouzanfar, A, Foster, A, Fox, R, Francis, N, Fretwell, V, Fung, D, Gammeri, E, Garnham, J, Geraghty, A, Gilbert, A, Gill, C, Gill, M, Gillespie, M, Giordano, P, Glasbey, J, Goh, M, Golder, A, Green, N, Gregoir, T, Grey, T, Groundwater, E, Grove, T, Growcott, S, Gunasekaran, S, Habib, H, Haddow, J, Halahakoon, V, Halkias, C, Hall, C, Hampson, A, Hancock, L, Hanna, T, Hannay, J, Harikrishnan, A, Harries, R, Harris, G, Hartley, J, Harvey, K, Hawkin, P, Hawkins, J, Healy, R, Heard, R, Heartshorne, R, Heller, S, Hendra, L, Herrod, P, Heywood, N, Hicks, G, Hobson, B, Holtham, S, Hope, C, Hopley, P, Hossain, T, Hossaini, S, Howse, F, Hubbard, T, Humphreys, A, Ikram, H, Ioannis, M, Iqbal, M, Iqbal, N, Jain, R, Jatania, J, Jenkinson, P, Jokhan, S, Jones, A, Jones, C, Jones, L, Joshi, H, Joshi, K, Joy, M, Jull, P, Kakaniaris, G, Kallam, R, Kane, E, Kang, P, Kanitkar, R, Kauser, S, Kazmi, F, Kedrzycki, M, Kelly, S, Kendall, J, Khan, M, Khan, T, King, G, Kisiel, A, Kitsis, C, Kolawole, I, Korambayil, S, Kosasih, S, Kosti, A, Kotb, A, Kouris, S, Kshatriya, K, Kumar, S, Lafaurie, G, Lal, R, Lau, A, Lazim, T, Lazzaro, A, Lee, K, Lefroy, R, Leinhardt, D, Lennon, H, Leong, K, Levy, B, Lim, E, Lim, J, Lindley, S, Liu, D, Lloyd, P, Locker, D, Lockwood, S, Lowe, C, Lund, J, Lunevicius, R, Lunt, A, Lutfi, S, Luther, A, Luwemba, S, Mahankali‐Rao, P, Mahroof, S, Mai, D, Majid, S, Malik, A, Malik, K, Mann, K, Mansour, S, Manu, N, Mapara, R, Martin, C, Martin, J, Martin, R, Mason, C, Massey, L, Mathias, J, Mathur, P, Maude, K, McArthur, D, McCain, S, McCluney, S, McIlroy, B, McKay, S, McKinley, N, McNair, A, McWhirter, D, Mekhail, P, Mellor, K, Merchant, J, Merker, L, Messenger, D, Miles, A, Mir, S, Mishra, A, Mistry, P, Miu, V, Moat, M, Mockford, K, Mohamed, E, Mohamed, I, Mondragon‐Pritchard, M, Moore, N, Moretti, L, Morris, H, Morrison, T, Morrison‐Jones, V, Moss, J, Moug, S, Mountford, D, Moynihan, R, Muhammad, K, Muldoon‐Smith, D, Mulholland, J, Mullan, M, Murgitroyd, E, Murugaiyan, K, Myers, A, Mykoniatis, I, Nana, G, Nash, T, Nassar, A, Newton, R, Ng, C, Ng, P, Nguyen, K, Nicholas, F, Noor, M, Nowers, J, Nugent, C, Nunn, A, Nunn, R, Obeid, N, O'Callaghan, J, O'Hara, R, Oke, O, Olivier, J, O'Neill, A, O'Neill, S, Osei‐Bordom, D, Osgood, L, Panagiotopoulos, S, Panchasara, B, Parks, R, Patel, H, Patel, P, Patel, R, Patel, S, Pawelec, K, Payne, C, Pearson, K, Perin, G, Peristerakis, I, Petronio, B, Phelan, L, Phillips, J, Pisaneschi, C, Pitt, J, Plunkett‐Reed, K, Ponchietti, L, Pouzi, A, Pouzi, M, Powell, A, Powell‐Chandler, A, Pranesh, N, Proctor, V, Pywell, S, Qureshi, A, Qureshi, N, Rahman, M, Rai, Z, Ramcharan, S, Rangarajan, K, Rashid, M, Reader, H, Rehman, A, Rehman, S, Rengifo, C, Richards, E, Richardson, N, Robinson, A, Robinson, D, Rossi, B, Rutherford, F, Sadien, I, Saghir, T, Sahnan, K, Salahia, G, Sarveswaran, J, Saunders, M, Scott, B, Scott, K, Seager, A, Seal, S, Sezen, E, Shaban, F, Shah, P, Shahmohammadi, M, Shamsiddinova, A, Shankar, S, Sharpe, A, Shatkar, V, Sheel, A, Shields, T, Shinkwin, M, Shurmer, J, Siddika, A, Siddiqui, S, Simson, R, Sinclair, P, Singh, B, Singh, S, Sivaraj, J, Skaife, P, Skelly, B, Skinner, A, Slim, N, Smart, C, Smart, N, Smith, F, Smith, I, Smith, R, Spence, G, Sreedhar, A, Steinke, J, Stevenson, L, Stewart‐Parker, E, Stott, M, Stubbs, B, Stylianides, N, Subramonia, S, Swinkin, M, Swinscoe, M, Symons, N, Tahir, W, Taj, T, Takacs, K, Tam, J, Tan, K, Tani, S, Tanner, N, Tao, D, Taylor, M, Thava, B, Thippeswamy, K, Thomas, C, Thompson, E, Thompson, R, Thompson‐Reil, C, Thorn, C, Tongo, F, Toth, G, Turnbull, A, Turnbull, J, Valero, C, Boxel, G, Varcada, M, Venn, M, Ventham, N, Venza, M, Vimalachandran, D, Virlos, I, Wade, T, Wafi, A, Waite, K, Walker, M, Walker, N, Walker, T, Walsh, U, Wardle, S, Warner, R, Watfah, J, Watson, N, Watt, J, Watts, J, Wayman, J, Weegenaar, C, West, H, West, M, Whitehurst, L, Whyler, M, Wiggans, M, Wijeyekoon, S, Williams, G, Williams, R, Williamson, A, Williamson, J, Wilson, J, Winter, A, Wolpert, L, Wong, J, Yeap, E, Yeong, T, Zaman, S, Zappa, B, Zosimas, D, Moug S Mondragon‐Pritchard, M, Rehan, S, and van Boxel, G

Abstract

Background: \ud Small bowel obstruction is a common surgical emergency, and is associated with high levels of morbidity and mortality across the world. The literature provides little information on the conservatively managed group. The aim of this study was to describe the burden of small bowel obstruction in the UK.\ud \ud Methods: \ud This prospective cohort study was conducted in 131 acute hospitals in the UK between January and April 2017, delivered by trainee research collaboratives. Adult patients with a diagnosis of mechanical small bowel obstruction were included. The primary outcome was in‐hospital mortality. Secondary outcomes included complications, unplanned intensive care admission and readmission within 30 days of discharge. Practice measures, including use of radiological investigations, water soluble contrast, operative and nutritional interventions, were collected.\ud \ud Results: \ud Of 2341 patients identified, 693 (29·6 per cent) underwent immediate surgery (within 24 h of admission), 500 (21·4 per cent) had delayed surgery after initial conservative management, and 1148 (49·0 per cent) were managed non‐operatively. The mortality rate was 6·6 per cent (6·4 per cent for non‐operative management, 6·8 per cent for immediate surgery, 6·8 per cent for delayed surgery; P = 0·911). The major complication rate was 14·4 per cent overall, affecting 19·0 per cent in the immediate surgery, 23·6 per cent in the delayed surgery and 7·7 per cent in the non‐operative management groups (P < 0·001). Cox regression found hernia or malignant aetiology and malnutrition to be associated with higher rates of death. Malignant aetiology, operative intervention, acute kidney injury and malnutrition were associated with increased risk of major complication.\ud \ud Conclusion: \ud Small bowel obstruction represents a significant healthcare burden. Patient‐level factors such as timing of surgery, acute kidney injury and nutritional status are factors that might be modified to improve outcomes.

Published
2019

28. The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

Author

He, C, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Krishnan, A, Wu, Y, Sun, Y, Imran, M, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Beraldi, A, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MHN, Chan, JCN, Cholera, R, Clover, K, Conwell, Y, de Man-van Ginkel, JM, Fann, JR, Fischer, FH, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Harter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, TN, Inagaki, M, Ismail, K, Jette, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Loewe, B, Marsh, L, McGuire, A, Mohd-Sidik, S, Munhoz, TN, Muramatsu, K, Osorio, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, da Silva dos Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, L, Sung, S, Tan, PLL, Turner, A, van Weert, HCPM, White, J, Whooley, MA, Winkley, K, Yamada, M, Thombs, BD, Benedetti, A, He, C, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Krishnan, A, Wu, Y, Sun, Y, Imran, M, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Beraldi, A, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MHN, Chan, JCN, Cholera, R, Clover, K, Conwell, Y, de Man-van Ginkel, JM, Fann, JR, Fischer, FH, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Harter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, TN, Inagaki, M, Ismail, K, Jette, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Loewe, B, Marsh, L, McGuire, A, Mohd-Sidik, S, Munhoz, TN, Muramatsu, K, Osorio, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, da Silva dos Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, L, Sung, S, Tan, PLL, Turner, A, van Weert, HCPM, White, J, Whooley, MA, Winkley, K, Yamada, M, Thombs, BD, and Benedetti, A

Abstract

BACKGROUND: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Published
2020

29. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

Author

Wu, Y, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MH, Chan, JCN, Cholera, R, Conwell, Y, de Man-van Ginkel, JM, Fann, JR, Fischer, FH, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Härter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, T, Inagaki, MD, Jetté, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Löwe, B, McGuire, A, Mohd-Sidik, S, Munhoz, TN, Muramatsu, K, Osório, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, MD, Sung, S, Tan, PLL, Turner, A, van Weert, HC, White, J, Whooley, MA, Winkley, K, Yamada, M, Benedetti, A, Thombs, BD, Wu, Y, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MH, Chan, JCN, Cholera, R, Conwell, Y, de Man-van Ginkel, JM, Fann, JR, Fischer, FH, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Härter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, T, Inagaki, MD, Jetté, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Löwe, B, McGuire, A, Mohd-Sidik, S, Munhoz, TN, Muramatsu, K, Osório, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, MD, Sung, S, Tan, PLL, Turner, A, van Weert, HC, White, J, Whooley, MA, Winkley, K, Yamada, M, Benedetti, A, and Thombs, BD

Abstract

BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

Published
2020

30. Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis

Author

McGrath, S, Zhao, X, Steele, R, Thombs, BD, Benedetti, A, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Sun, Y, Krishnan, A, He, C, Wu, Y, Bhandari, PM, Neupane, D, Imran, M, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Beraldi, A, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MH, Chan, JCN, Cholera, R, Chowdhary, N, Clover, K, Conwell, Y, Ginkel, JMDM-V, Delgadillo, J, Fann, JR, Fischer, FH, Fischler, B, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Harter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, T, Inagaki, M, Ismail, K, Jette, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Loewe, B, Marsh, L, McGuire, A, Sidik, SM, Munhoz, TN, Muramatsu, K, Osorio, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, L, Sung, SC, Tan, PLL, Turner, A, van der Feltz-Cornelis, CM, van Weert, HC, Vohringer, PA, White, J, Whooley, MA, Winkley, K, Yamada, M, Zhang, Y, McGrath, S, Zhao, X, Steele, R, Thombs, BD, Benedetti, A, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Sun, Y, Krishnan, A, He, C, Wu, Y, Bhandari, PM, Neupane, D, Imran, M, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC, Akena, DH, Arroll, B, Ayalon, L, Baradaran, HR, Baron, M, Beraldi, A, Bombardier, CH, Butterworth, P, Carter, G, Chagas, MH, Chan, JCN, Cholera, R, Chowdhary, N, Clover, K, Conwell, Y, Ginkel, JMDM-V, Delgadillo, J, Fann, JR, Fischer, FH, Fischler, B, Fung, D, Gelaye, B, Goodyear-Smith, F, Greeno, CG, Hall, BJ, Harrison, PA, Harter, M, Hegerl, U, Hides, L, Hobfoll, SE, Hudson, M, Hyphantis, T, Inagaki, M, Ismail, K, Jette, N, Khamseh, ME, Kiely, KM, Kwan, Y, Lamers, F, Liu, S-I, Lotrakul, M, Loureiro, SR, Loewe, B, Marsh, L, McGuire, A, Sidik, SM, Munhoz, TN, Muramatsu, K, Osorio, FL, Patel, V, Pence, BW, Persoons, P, Picardi, A, Reuter, K, Rooney, AG, Santos, IS, Shaaban, J, Sidebottom, A, Simning, A, Stafford, L, Sung, SC, Tan, PLL, Turner, A, van der Feltz-Cornelis, CM, van Weert, HC, Vohringer, PA, White, J, Whooley, MA, Winkley, K, Yamada, M, and Zhang, Y

Abstract

Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta-analytic approaches assume that the primary studies report the sample mean and standard deviation of the outcome. However, when the outcome is skewed, authors sometimes summarize the data by reporting the sample median and one or both of (i) the minimum and maximum values and (ii) the first and third quartiles, but do not report the mean or standard deviation. To include these studies in meta-analysis, several methods have been developed to estimate the sample mean and standard deviation from the reported summary data. A major limitation of these widely used methods is that they assume that the outcome distribution is normal, which is unlikely to be tenable for studies reporting medians. We propose two novel approaches to estimate the sample mean and standard deviation when data are suspected to be non-normal. Our simulation results and empirical assessments show that the proposed methods often perform better than the existing methods when applied to non-normal data.

Published
2020

40. Outcomes following small bowel obstruction due to malignancy in the national audit of small bowel obstruction

Author

Drake, Thomas M., primary, Lee, Matthew J., additional, Sayers, Adele E., additional, Abercrombie, John, additional, Acheson, Austin, additional, Alderson, Derek, additional, Anderson, Iain, additional, Bradburn, Mike, additional, Davies, Michael, additional, Hamady, Zaed, additional, Hind, Daniel, additional, Hollyman, Marianne, additional, Hare, Sarah, additional, Lee, Ellen, additional, Northover, John, additional, Lewis, Christopher, additional, Marriott, Paul J., additional, Maynard, Nick, additional, McFall, Malcolm, additional, Muragananthan, Aravinth, additional, Murray, David, additional, Singh, Pritam, additional, Tierney, Gillian, additional, Verjee, Azmina, additional, Walsh, Ciaran, additional, Wild, Jonathan RL., additional, Wilson, Timothy, additional, Abbott, S., additional, Abdulaal, Y., additional, Afshar, S., additional, Akhtar, M., additional, Anderson, D., additional, Appleton, S., additional, Bandyopadhyay, D., additional, Bashir, G., additional, Behar, N., additional, Bhandari, S., additional, Branagan, G., additional, Boulton, R., additional, Borg, C., additional, Bouras, G., additional, Boyle, J., additional, Brewer, H., additional, Brown, L., additional, Briggs, C., additional, Cartmell, M., additional, Chan, S., additional, Chandratreya, N., additional, Conaghan, P., additional, Cornish, J., additional, Cotton, D., additional, Coyne, P., additional, Crozier, J., additional, Cook, T., additional, Cunha, P., additional, Curtis, N., additional, Day, A., additional, Dayal, S., additional, Dennis, R., additional, Dent, P., additional, Dowson, H., additional, Fallaize, R., additional, Farag, S., additional, El Farran, M., additional, Faulkner, G., additional, Giordano, P., additional, Grey, T., additional, Halahakoon, V., additional, Hannay, J., additional, Harikrishnan, A., additional, Holtham, S., additional, Hawkin, P., additional, Hall, C., additional, Hancock, L., additional, Hartley, J., additional, Howse, F., additional, Kallam, R., additional, Kakaniaris, G., additional, Kelly, S., additional, Lockwood, S., additional, Leinhardt, D., additional, Levy, B., additional, Lal, R., additional, Lazim, T., additional, Lund, J., additional, Lunevicius, R., additional, Mathur, P., additional, Maude, K., additional, McArthur, D., additional, McIlroy, B., additional, Miles, A., additional, Moug, S., additional, Mondragon-Pritchard, M., additional, Messenger, D., additional, Mullan, M., additional, Myers, A., additional, Muhammad, K., additional, Mason, C., additional, Sarveswaran, J., additional, Shatkar, V., additional, Singh, B., additional, Skelly, B., additional, Subramonia, S., additional, Swinscoe, M., additional, Thava, B., additional, Thorn, C., additional, Panagiotopoulos, S., additional, Patel, P., additional, Phillips, J., additional, Peristerakis, I., additional, Qureshi, A., additional, Saunders, M., additional, Shah, P., additional, Sheel, A., additional, Siddiqui, S., additional, Skaife, P., additional, Smart, N., additional, Smith, I., additional, Stevenson, L., additional, Stylianides, N., additional, Steinke, J., additional, Stubbs, B., additional, Thompson, R., additional, Varcada, M., additional, Vimalachandran, D., additional, Virlos, I., additional, Watfah, J., additional, Watson, N., additional, Walker, M., additional, Ventham, N., additional, West, H., additional, Wilson, J., additional, Wijeyekoon, S., additional, Ah-Chuen, J., additional, Ahmed, T., additional, Akram, F., additional, Aldred, E., additional, Ali, A., additional, Aly, M., additional, Amajuoyi, A., additional, Amin, V., additional, Andreou, A., additional, Ansari, A., additional, Ardley, R., additional, Arshad, F., additional, Ashour, O., additional, Asour, A., additional, Ayoub, F., additional, Azeem, H., additional, Azhar, B., additional, Baillie, C., additional, Barker, J., additional, Barkham, B., additional, Baron, R., additional, Barrie, J., additional, Barry-Yarrow, E., additional, Battersby, N., additional, Bazoua, G., additional, Berger, C., additional, Bhasin, S., additional, Biggs, S., additional, Bisset, C., additional, Blencowe, N., additional, Boddy, A., additional, Boereboom, C., additional, Bogdan, M., additional, Bogle, R., additional, Bohra, P., additional, Bolkan, H., additional, Boyer, M., additional, Broadhurst, J., additional, Brown, E., additional, Brown, J., additional, Burns, K., additional, Butcher, K., additional, Capper, C., additional, Cash, T., additional, Chapman, J., additional, Chapman, S., additional, Charalabopoulos, A., additional, Cheek, C., additional, Chok, S., additional, Choong, W., additional, Chowdhury, J., additional, Coe, P., additional, Conn, G., additional, Cook, N., additional, Cooper, S., additional, Cox, C., additional, Crook, R., additional, Cuffolo, G., additional, da Silva, L., additional, Das, B., additional, Davenport, M., additional, Davies, J., additional, Davies, T., additional, Dean, S., additional, Demetriou, G., additional, Dengu, F., additional, Dent, H., additional, Di Benedetto, G., additional, Dindyal, S., additional, Donnelly, E., additional, Douka, E., additional, Downham, C., additional, Edent, H., additional, Edgerton, K., additional, El-Sharif, M., additional, Elamin, O., additional, Elsaid, N., additional, Evans, J., additional, Evans, M., additional, Ewe, R., additional, Ewing, A., additional, Ferguson, H., additional, Fisher, O., additional, Fletcher, J., additional, Forouzanfar, A., additional, Foster, A., additional, Fox, R., additional, Francis, N., additional, Fretwell, V., additional, Fung, D., additional, Gammeri, E., additional, Garnham, J., additional, Geraghty, A., additional, Gilbert, A., additional, Gill, M., additional, Gillespie, M., additional, Glasbey, J., additional, Golder, A., additional, Green, N., additional, Groundwater, E., additional, Grove, T., additional, Habib, H., additional, Haddow, J., additional, Halkias, C., additional, Hampson, A., additional, Hanna, T., additional, Harries, R., additional, Harvey, K., additional, Hawkins, J., additional, Healy, R., additional, Heartshorne, R., additional, Heller, S., additional, Hendra, L., additional, Herrod, P., additional, Heywood, N., additional, Hicks, G., additional, Ng, P., additional, Hope, C., additional, Hopley, P., additional, Hossain, T., additional, Hossaini, S., additional, Hubbard, T., additional, Humphreys, A., additional, Ikram, H., additional, Ioannis, M., additional, Iqbal, M., additional, Jatania, J., additional, Jenkinson, P., additional, Jokhan, S., additional, Jones, A., additional, Jones, C., additional, Jones, L., additional, Joshi, H., additional, Joshi, K., additional, Joy, M., additional, Jull, P., additional, Kane, E., additional, Kanitkar, R., additional, Kauser, S., additional, Kazmi, F., additional, Kedrzycki, M., additional, Kendall, J., additional, Khan, T., additional, King, G., additional, Kisiel, A., additional, Kitsis, C., additional, Kolawole, I., additional, Kosasih, S., additional, Kosti, A., additional, Kotb, A., additional, Lau, A., additional, Lafaurie, G., additional, Lazzaro, A., additional, Lefroy, R., additional, Lennon, H., additional, Leong, K., additional, Lim, E., additional, Lim, J., additional, Lindley, S., additional, Liu, D., additional, Lloyd, P., additional, Locker, D., additional, Lowe, C., additional, Lunt, A., additional, Lutfi, S., additional, Luther, A., additional, Luwemba, S., additional, Mahankali-Rao, P., additional, Mai, D., additional, Majid, S., additional, Malik, A., additional, Manu, N., additional, Mapara, R., additional, Martin, C., additional, Martin, J., additional, Massey, L., additional, Mathias, J., additional, McCain, S., additional, McCluney, S., additional, McNair, A., additional, Mekhail, P., additional, Merchant, J., additional, Merker, L., additional, Mir, S., additional, Mistry, P., additional, Miu, V., additional, Moat, M., additional, Mohamed, E., additional, Mohamed, I., additional, Moore, N., additional, Moretti, L., additional, Morris, H., additional, Morrison, T., additional, Moss, J., additional, Mountford, D., additional, Moynihan, R., additional, Muldoon-Smith, D., additional, Mulholland, J., additional, Murgitroyd, E., additional, Murugaiyan, K., additional, Mykoniatis, I., additional, Nana, G., additional, Nash, T., additional, Nassar, A., additional, Newton, R., additional, Nguyen, K., additional, Nicholas, F., additional, Noor, M., additional, Nowers, J., additional, Nugent, C., additional, Nunn, A., additional, O'Callaghan, J., additional, O'Hara, R., additional, O'Neill, A., additional, Olivier, J., additional, Osei-Bordom, D., additional, Osgood, L., additional, Panchasara, B., additional, Parks, R., additional, Patel, H., additional, Pawelec, K., additional, Payne, C., additional, Pearson, K., additional, Perin, G., additional, Petronio, B., additional, Phelan, L., additional, Pisaneschi, C., additional, Pitt, J., additional, Ponchietti, L., additional, Powell, A., additional, Powell-Chandler, A., additional, Pranesh, N., additional, Proctor, V., additional, Qureshi, N., additional, Rahman, M., additional, Rai, Z., additional, Ramcharan, S., additional, Rangarajan, K., additional, Rashid, M., additional, Reader, H., additional, Rehman, A., additional, Rehan, S., additional, Rengifo, C., additional, Richardson, N., additional, Robinson, A., additional, Robinson, D., additional, Rossi, B., additional, Rutherford, F., additional, Sadien, I., additional, Saghir, T., additional, Sahnan, K., additional, Salahia, G., additional, Scott, B., additional, Scott, K., additional, Seager, A., additional, Seal, S., additional, Sezen, E., additional, Shaban, F., additional, Shahmohammadi, M., additional, Shamsiddinova, A., additional, Shankar, S., additional, Sharpe, A., additional, Shields, T., additional, Shinkwin, M., additional, Shurmer, J., additional, Siddika, A., additional, Simson, R., additional, Singh, S., additional, Sivaraj, J., additional, Skinner, A., additional, Smart, C., additional, Smith, F., additional, Smith, R., additional, Sreedhar, A., additional, Stewart-Parker, E., additional, Stott, M., additional, Symons, N., additional, Taj, T., additional, Tam, J., additional, Tan, K., additional, Tani, S., additional, Tao, D., additional, Thippeswamy, K., additional, Thomas, C., additional, Thompson, E., additional, Thompson-Reil, C., additional, Tongo, F., additional, Toth, G., additional, Turnbull, A., additional, Turnbull, J., additional, Wade, T., additional, Wafi, A., additional, Waite, K., additional, Walker, N., additional, Walker, T., additional, Walsh, U., additional, Wardle, S., additional, Warner, R., additional, Watt, J., additional, Watts, J., additional, Wayman, J., additional, Weegenaar, C., additional, West, M., additional, Whyler, M., additional, Whitehurst, L., additional, Wiggans, M., additional, Williams, G., additional, Williams, R., additional, Williamson, A., additional, Williamson, J., additional, Winter, A., additional, Wolpert, L., additional, Wong, J., additional, van Boxel, G., additional, Yeap, E., additional, Zaman, S., additional, Zappa, B., additional, Zosimas, D., additional, Anderson, O., additional, Athem, A., additional, Athersmith, M., additional, Badenoch, T., additional, Barker, S., additional, Bellam, S., additional, Boam, T., additional, Boland, M., additional, Blake, L., additional, Brown, O., additional, Butler, M., additional, Byrne, B., additional, Campbell, L., additional, Chow, M., additional, Da Costa, K., additional, Cutting, J., additional, Deputy, M., additional, Devoto, L., additional, Doody, P., additional, Ekpete, N., additional, Eljaafari, M., additional, Exarchou, K., additional, Faoury, M., additional, Farinella, E., additional, Gill, C., additional, Goh, M., additional, Gregoir, T., additional, Growcott, S., additional, Gunasekaran, S., additional, Harris, G., additional, Heard, R., additional, Hobson, B., additional, Iqbal, N., additional, Jain, R., additional, Kang, P., additional, Khan, M., additional, Korambayil, S., additional, Kouris, S., additional, Kshatriya, K., additional, Kumar, S., additional, Lee, K., additional, Mahroof, S., additional, Malik, K., additional, Mann, K., additional, Mansour, S., additional, Martin, R., additional, McKay, S., additional, McKinley, N., additional, McWhirter, D., additional, Mellor, K., additional, Mishra, A., additional, Mockford, K., additional, Morrison-Jones, V., additional, Ng, C., additional, Nunn, R., additional, O'Neill, S., additional, Oke, O., additional, Obeid, N., additional, Patel, R., additional, Patel, S., additional, Plunkett-Reed, K., additional, Pouzi, M., additional, Pywell, S., additional, Richards, E., additional, Sinclair, P., additional, Slim, N., additional, Spence, G., additional, Swinkin, M., additional, Tahir, W., additional, Takacs, K., additional, Tanner, N., additional, Taylor, M., additional, Valero, C., additional, Venn, M., additional, Venza, M., additional, Yeong, T., additional, and Fearnhead, Nicola S., additional

Published
2019
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41. Fin Bending Mitigation and Local Layout Effect Alleviation in Advanced FinFET Technology through Material Engineering and Metrology Optimization

Author

Wen, T.Y., primary, Colombeau, B., additional, Li, C.l., additional, Liu, S.Y., additional, Guo, B.N., additional, Meer, H.V., additional, Hou, M., additional, Yang, B., additional, Feng, H.C., additional, Hsu, C.F., additional, Huang, C.C., additional, Tasi, Y.T., additional, Chen, H.P., additional, Huang, S.A., additional, Huang, C.W., additional, Chen, C.H., additional, Lin, J.C., additional, Shim, K.H., additional, Kuo, J., additional, Lee, S., additional, Holcman, L., additional, Nafisr, K., additional, Fernandez, J., additional, Fung, D., additional, Yang, N.H., additional, Wu, J.Y., additional, and Hung, G.C., additional

Published
2019
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44. Shaping the future of child and adolescent psychiatry

Author

Skokauskas, N, Fung, D, Flaherty, LT, von Klitzing, K, Puras, D, Servili, C, Dua, T, Falissard, B, Vostanis, P, Beatriz Moyano, M, Feldman, I, Clark, C, Boricevic, V, Patton, G, Leventhal, B, Guerrero, A, Skokauskas, N, Fung, D, Flaherty, LT, von Klitzing, K, Puras, D, Servili, C, Dua, T, Falissard, B, Vostanis, P, Beatriz Moyano, M, Feldman, I, Clark, C, Boricevic, V, Patton, G, Leventhal, B, and Guerrero, A

Abstract

Child and adolescent psychiatry is in a unique position to respond to the growing public health challenges associated with the large number of mental disorders arising early in life, but some changes may be necessary to meet these challenges. In this context, the future of child and adolescent psychiatry was considered by the Section on Child and Adolescent Psychiatry of the World Psychiatric Association (WPA CAP), the International Association for Child and Adolescent Psychiatry and Allied Professions (IACAPAP), the World Association for Infant Mental Health (WAIMH), the International Society for Adolescent Psychiatry and Psychology (ISAPP), the UN Special Rapporteur on the Right to Health, representatives of the WHO Department of Mental Health and Substance Abuse, and other experts. We take this opportunity to outline four consensus priorities for child and adolescent psychiatry over the next decade: increase the workforce necessary for providing care for children, adolescents and families facing mental disorders; reorienting child and adolescent mental health services to be more responsive to broader public health needs; increasing research and research training while also integrating new research finding promptly and efficiently into clinical practice and research training; Increasing efforts in advocacy.

Published
2019

49. The Detection of Simulated Retinoblastoma by Using Red-Reflex Testing

Author

E O Smith, Fung D, Evelyn A. Paysse, Jennifer Y. Li, and David K. Coats

Subjects
Models, Anatomic, medicine.medical_specialty, Retinal Neoplasms, Leukocoria, Reflex, Pupillary, Sensitivity and Specificity, Pupil, Ophthalmoscopy, Imaging, Three-Dimensional, Red reflex, Ophthalmology, Confidence Intervals, medicine, Pupillary response, Mydriasis, Humans, Probability, Observer Variation, medicine.diagnostic_test, business.industry, Retinoblastoma, Confidence interval, Pediatrics, Perinatology and Child Health, Dilation (morphology), medicine.symptom, business
Abstract

OBJECTIVE: To determine the ability to detect simulated retinoblastoma by using the red-reflex test. METHODS: Discs that simulated retinoblastoma lesions were affixed to the retina of model eyes with an 8- or 3-mm pupil. The diameter, height, and location of the discs varied. Five examiners evaluated the red reflex with direct ophthalmoscopy by using straight-on and oblique viewing. The generalized estimating equation was used to assess the effects of pupil dilation and observer viewing orientation on tumor detection. RESULTS: Significant 3-way interactions between pupil dilation, observer orientation, and tumor diameter (P < .004) or height (P < .02) were detected; these relationships depended on tumor diameter and height. A similar 3-way interaction was found between pupil dilation, observer orientation, and tumor location in degrees from the fovea (P < .001). Oblique viewing and pupillary dilation improved the tumor-detection rate. With straight-on viewing, the degree of detection was CONCLUSIONS: Detection of simulated retinoblastoma was better when lesions were large and when oblique viewing and dilation were used. Peripheral location was negatively associated with detection. Red-reflex testing to detect leukocoria may be improved with oblique viewing and pharmacologic dilation.

Published
2010
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50. Ch21

Author

Fung, Dilly

Published
2017

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