TY - JOUR
T1 - Probability of major depression classification based on the SCID, CIDI, and MINI diagnostic interviews: A synthesis of three individual participant data meta-analyses
AU - Wu, Yin
AU - Levis, Brooke
AU - Ioannidis, John P. A.
AU - Benedetti, Andrea
AU - Thombs, Brett D.
AU - Sun, Ying
AU - He, Chen
AU - Krishnan, Ankur
AU - Bhandari, Parash Mani
AU - Neupane, Dipika
AU - Negeri, Zelalem
AU - Imran, Mahrukh
AU - Rice, Danielle B.
AU - Riehm, Kira E.
AU - Saadat, Nazanin
AU - Azar, Marleine
AU - Levis, Alexander W.
AU - Sanchez, Tatiana A.
AU - Chiovitti, Matthew J.
AU - Yan, Xin Wei
AU - Boruff, Jill
AU - Kloda, Lorie A.
AU - Cuijpers, Pim
AU - Gilbody, Simon
AU - McMillan, Dean
AU - Patten, Scott B.
AU - Shrier, Ian
AU - Ziegelstein, Roy C.
AU - Comeau, Liane
AU - Mitchell, Nicholas D.
AU - Tonelli, Marcello
AU - Vigod, Simone N.
AU - Henry, Melissa
AU - Ismail, Zahinoor
AU - Loiselle, Carmen G.
AU - Akena, Dickens H.
AU - Al-Adawi, Samir
AU - Alamri, Sultan H.
AU - Alvarado, Rubén
AU - Alvarado-Esquivel, Cosme
AU - Amtmann, Dagmar
AU - Arroll, Bruce
AU - Ayalon, Liat
AU - Bakare, Muideen O.
AU - Baradaran, Hamid R.
AU - Barnes, Jacqueline
AU - Bavle, Amar D.
AU - Beck, Cheryl Tatano
AU - Beraldi, Anna
AU - Bernstein, Charles N.
AU - Bhana, Arvin
AU - Bindt, Carola
AU - Bombardier, Charles H.
AU - Boyce, Philip M.
AU - Büel-Drabe, Natalie
AU - Buji, Ryna Imma
AU - Bunevicius, Adomas
AU - DEPRESsion Screening Data (DEPRESSD) Collaboration
AU - Butnoriene, Jurate
AU - Bunevicius, Robertas
AU - Butterworth, Peter
AU - Carter, Gregory
AU - Chagas, Marcos H.
AU - Chan, Juliana C. N.
AU - Chan, Lai Fong
AU - Chaudron, Linda H.
AU - Chen, Chih-Ken
AU - Cholera, Rushina
AU - Clover, Kerrie
AU - Conroy, Ronán M.
AU - Conway, Aaron
AU - Conwell, Yeates
AU - Correa, Humberto
AU - Castro e Couto, Tiago
AU - Cukor, Daniel
AU - Dabscheck, Eli
AU - Daray, Federico M.
AU - de Figueiredo, Felipe Pinheiro
AU - de Man-van Ginkel, Janneke M.
AU - Diez-Quevedo, Crisanto
AU - Douven, Elles
AU - Downing, Marina G.
AU - Eapen, Valsamma
AU - Fann, Jesse R.
AU - Feinstein, Anthony
AU - Ferentinos, Panagiotis P.
AU - Fernandes, Michelle
AU - Field, Sally
AU - Figueiredo, Barbara
AU - Fischer, Felix H.
AU - Fisher, Jane R. W.
AU - Flint, Alastair J.
AU - Fujimori, Maiko
AU - Fung, Daniel S. S.
AU - Gallagher, Pamela
AU - Gandy, Milena
AU - Garcia-Esteve, Lluïsa
AU - Garman, Emily C.
AU - Gelaye, Bizu
AU - Gholizadeh, Leila
AU - Giardinelli, Lisa
AU - Gibson, Lorna J.
AU - Goodyear-Smith, Felicity
AU - Grassi, Luigi
AU - Green, Eric P.
AU - Greeno, Catherine G.
AU - Hall, Brian J.
AU - Hantsoo, Liisa
AU - Haroz, Emily E.
AU - Harter, Martin
AU - Hegerl, Ulrich
AU - Helle, Nadine
AU - Hides, Leanne
AU - Hobfoll, Stevan E.
AU - Honikman, Simone
AU - Howard, Louise M.
AU - Hudson, Marie
AU - Hyphantis, Thomas
AU - Inagaki, Masatoshi
AU - Jenewein, Josef
AU - Jeon, Hong Jin
AU - Jette, Nathalie
AU - Keller, Monika
AU - Khalifa, Dina Sami
AU - Khamseh, Mohammad E.
AU - Kiely, Kim M.
AU - Kim, Sung-Wan
AU - Kjargaard, Marie
AU - Kohler, Sebastian
AU - Kohlhoff, Jane
AU - Kohrt, Brandon A.
AU - Kozinszky, Zoltan
AU - Kusminskas, Laima
AU - Kwan, Yunxin
AU - Lamers, Femke
AU - Lara, Maria Asuncion
AU - Lelli, Lorenzo
AU - Leonardou, Angeliki A.
AU - Levin-Aspenson, Holly F.
AU - Lotrakul, Manote
AU - Loureiro, Sonia R.
AU - Lowe, Bernd
AU - Luitel, Nagendra P.
AU - Lund, Crick
AU - Maes, Michael
AU - Marrie, Ruth Ann
AU - Marsh, Laura
AU - Martin-Santos, Rocio
AU - Marx, Brian P.
AU - Massardo, Loreto
AU - Matsuoka, Yutaka
AU - Mehner, Anja
AU - Meuti, Valentina
AU - Michopoulos, Ioannis
AU - Misery, Laurent
AU - Sidik, Sherina Mohd
AU - Munhoz, Tiago N.
AU - Muramatsu, Kumiko
AU - Radoš, Sandra Nakić
AU - Nakku, Juliet E. M.
AU - Navarrete, Laura
AU - Garcia, Purificacion Navarro
AU - Navines, Ricard
AU - Nishi, Daisuke
AU - O'Donnell, Meaghan L.
AU - Luwa e-Andjafono, Daniel Okitundu
AU - Osório, Flávia L.
AU - Öztürk, Ahmet
AU - Peceliuniene, Jurate
AU - Pence, Brian W.
AU - Persoons, Philippe
AU - Picardi, Angelo
AU - Pintor, Luis
AU - Ponsford, Jennie L.
AU - Pugh, Stephanie L.
AU - Quinn, Terence J.
AU - Rancans, Elmars
AU - Rathod, Sujit D.
AU - Reme, Silje E.
AU - Reuter, Katrin
AU - Robertson-Blackmore, Emma
AU - Rochat, Tamsen J.
AU - Rooney, Alasdair G.
AU - Rowe, Heather J.
AU - Sánchez-González, Roberto
AU - Santos, Iná S.
AU - Schram, Miranda T.
AU - Schwarzbold, Marcelo L.
AU - Cankorur, Vesile Senturk
AU - Shaaban, Juwita
AU - Sharpe, Louise
AU - Shinn, Eileen H.
AU - Sidebottom, Abbey
AU - Simard, S. bastien
AU - Simning, Adam
AU - Singer, Susanne
AU - Siu, Bonnie W. M.
AU - Skalkidou, Alkistis
AU - Spangenberg, Lena
AU - Stafford, Lesley
AU - Stein, Alan
AU - Stewart, Robert C.
AU - Stone, Jon
AU - Su, Kuan-Pin
AU - Sultan, Serge
AU - Sundström-Poromaa, Inger
AU - Sung, Sharon C.
AU - Suzuki, Keiko
AU - Tadinac, Meri
AU - Tan, Pei Lin Lynnette
AU - Tandon, S. Darius
AU - Taylor-Rowan, Martin
AU - Teixeira, Antonio L.
AU - Tendais, Iva
AU - Thiagayson, Pavaani
AU - Tiringer, Istvan
AU - Töreki, Annamária
AU - Torres-Giménez, Anna
AU - Tran, Thach D.
AU - Trevillion, Kylee
AU - Tung, Ka-Yee
AU - Turner, Alyna
AU - Turner, Katherine
AU - van der Feltz-Cornelis, Christina M.
AU - van Heyningen, Thandi
AU - van Weert, Henk C.
AU - Vega-Dienstmaier, Johann M.
AU - Vöhringer, Paul A.
AU - Wagner, Lynne I.
AU - Walterfang, Mark
AU - Wang, Jian Li
AU - Wang, Wenzheng
AU - Wang, Liang-Jen
AU - White, Jennifer
AU - Wong, Dana K.
AU - Wynter, Karen
AU - Yamada, Mitsuhiko
AU - Yonkers, Kimberly A.
AU - Zeng, Qing Zhi
AU - Zhang, Yuying
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Introduction: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. Objective: To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. Methods: We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. Results: In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). Conclusions: Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.
AB - Introduction: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. Objective: To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. Methods: We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. Results: In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). Conclusions: Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.
UR - https://www.scopus.com/pages/publications/85095432734
UR - https://www.ncbi.nlm.nih.gov/pubmed/32814337
U2 - 10.1159/000509283
DO - 10.1159/000509283
M3 - Article
C2 - 32814337
SN - 0033-3190
VL - 90
SP - 28
EP - 40
JO - Psychotherapy and psychosomatics
JF - Psychotherapy and psychosomatics
IS - 1
ER -