Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Yin Wu; Brooke Levis; Ying Sun; Ankur Krishnan; Chen He; Kira E. Riehm; Danielle B. Rice; Marleine Azar; Xin Wei Yan; Dipika Neupane; Parash Mani Bhandari; Mahrukh Imran; Matthew J. Chiovitti; Nazanin Saadat; Jill T. Boruff; Pim Cuijpers; Simon Gilbody; Dean McMillan; John P.A. Ioannidis; Lorie A. Kloda; Scott B. Patten; Ian Shrier; Roy C. Ziegelstein; Melissa Henry; Zahinoor Ismail; Carmen G. Loiselle; Nicholas D. Mitchell; Marcello Tonelli; Samir Al-Adawi; Anna Beraldi; Anna P.B.M. Braeken; Natalie Büel-Drabe; Adomas Bunevicius; Gregory Carter; Chih Ken Chen; Gary Cheung; Kerrie Clover; Ronán M. Conroy; Daniel Cukor; Carlos E. da Rocha e Silva; Eli Dabscheck; Federico M. Daray; Elles Douven; Marina G. Downing; Anthony Feinstein; Panagiotis P. Ferentinos; Felix H. Fischer; Alastair J. Flint; Maiko Fujimori; Pamela Gallagher; Milena Gandy; Simone Goebel; Luigi Grassi; Martin Härter; Josef Jenewein; Nathalie Jetté; Miguel Julião; Jae Min Kim; Sung Wan Kim; Marie Kjærgaard; Sebastian Köhler; Wim L. Loosman; Bernd Löwe; Rocio Martin-Santos; Loreto Massardo; Yutaka Matsuoka; Anja Mehnert; Ioannis Michopoulos; Laurent Misery; Ricard Navines; Meaghan L. O'Donnell; Ahmet Öztürk; Jurate Peceliuniene; Luis Pintor; Jennie L. Ponsford; Terence J. Quinn; Silje E. Reme; Katrin Reuter; Alasdair G. Rooney; Roberto Sánchez-González; Marcelo L. Schwarzbold; Vesile Senturk Cankorur; Juwita Shaaban; Louise Sharpe; Michael Sharpe; Sébastien Simard; Susanne Singer; Lesley Stafford; Jon Stone; Serge Sultan; Antonio L. Teixeira; Istvan Tiringer; Alyna Turner; Jane Walker; Mark Walterfang; Liang Jen Wang; Jennifer White; Dana K. Wong; Andrea Benedetti; Brett D. Thombs

doi:10.1016/j.jpsychores.2019.109892

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Yin Wu, Brooke Levis, Ying Sun, Ankur Krishnan, Chen He, Kira E. Riehm, Danielle B. Rice, Marleine Azar, Xin Wei Yan, Dipika Neupane, Parash Mani Bhandari, Mahrukh Imran, Matthew J. Chiovitti, Nazanin Saadat, Jill T. Boruff, Pim Cuijpers, Simon Gilbody, Dean McMillan, John P.A. Ioannidis, Lorie A. KlodaScott B. Patten, Ian Shrier, Roy C. Ziegelstein, Melissa Henry, Zahinoor Ismail, Carmen G. Loiselle, Nicholas D. Mitchell, Marcello Tonelli, Samir Al-Adawi, Anna Beraldi, Anna P.B.M. Braeken, Natalie Büel-Drabe, Adomas Bunevicius, Gregory Carter, Chih Ken Chen, Gary Cheung, Kerrie Clover, Ronán M. Conroy, Daniel Cukor, Carlos E. da Rocha e Silva, Eli Dabscheck, Federico M. Daray, Elles Douven, Marina G. Downing, Anthony Feinstein, Panagiotis P. Ferentinos, Felix H. Fischer, Alastair J. Flint, Maiko Fujimori, Pamela Gallagher, Milena Gandy, Simone Goebel, Luigi Grassi, Martin Härter, Josef Jenewein, Nathalie Jetté, Miguel Julião, Jae Min Kim, Sung Wan Kim, Marie Kjærgaard, Sebastian Köhler, Wim L. Loosman, Bernd Löwe, Rocio Martin-Santos, Loreto Massardo, Yutaka Matsuoka, Anja Mehnert, Ioannis Michopoulos, Laurent Misery, Ricard Navines, Meaghan L. O'Donnell, Ahmet Öztürk, Jurate Peceliuniene, Luis Pintor, Jennie L. Ponsford, Terence J. Quinn, Silje E. Reme, Katrin Reuter, Alasdair G. Rooney, Roberto Sánchez-González, Marcelo L. Schwarzbold, Vesile Senturk Cankorur, Juwita Shaaban, Louise Sharpe, Michael Sharpe, Sébastien Simard, Susanne Singer, Lesley Stafford, Jon Stone, Serge Sultan, Antonio L. Teixeira, Istvan Tiringer, Alyna Turner, Jane Walker, Mark Walterfang, Liang Jen Wang, Jennifer White, Dana K. Wong, Andrea Benedetti^*, Brett D. Thombs

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

Original language	English
Article number	109892
Journal	Journal of Psychosomatic Research
Volume	129
DOIs	https://doi.org/10.1016/j.jpsychores.2019.109892
State	Published - 2020

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

ASJC Scopus subject areas

Clinical Psychology
Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jpsychores.2019.109892

Fingerprint

Dive into the research topics of 'Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies'. Together they form a unique fingerprint.

Cite this

Wu, Y., Levis, B., Sun, Y., Krishnan, A., He, C., Riehm, K. E., Rice, D. B., Azar, M., Yan, X. W., Neupane, D., Bhandari, P. M., Imran, M., Chiovitti, M. J., Saadat, N., Boruff, J. T., Cuijpers, P., Gilbody, S., McMillan, D., Ioannidis, J. P. A., ... Thombs, B. D. (2020). Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies. Journal of Psychosomatic Research, 129, Article 109892. https://doi.org/10.1016/j.jpsychores.2019.109892

@article{08d490391c5049cd9bcef0dccdeae02f,

title = "Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies",

abstract = "Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.",

keywords = "Depressive disorders, Diagnostic interviews, Hospital Anxiety and Depression Scale, Individual participant data meta-analysis, Major depression",

author = "Yin Wu and Brooke Levis and Ying Sun and Ankur Krishnan and Chen He and Riehm, {Kira E.} and Rice, {Danielle B.} and Marleine Azar and Yan, {Xin Wei} and Dipika Neupane and Bhandari, {Parash Mani} and Mahrukh Imran and Chiovitti, {Matthew J.} and Nazanin Saadat and Boruff, {Jill T.} and Pim Cuijpers and Simon Gilbody and Dean McMillan and Ioannidis, {John P.A.} and Kloda, {Lorie A.} and Patten, {Scott B.} and Ian Shrier and Ziegelstein, {Roy C.} and Melissa Henry and Zahinoor Ismail and Loiselle, {Carmen G.} and Mitchell, {Nicholas D.} and Marcello Tonelli and Samir Al-Adawi and Anna Beraldi and Braeken, {Anna P.B.M.} and Natalie B{\"u}el-Drabe and Adomas Bunevicius and Gregory Carter and Chen, {Chih Ken} and Gary Cheung and Kerrie Clover and Conroy, {Ron{\'a}n M.} and Daniel Cukor and {da Rocha e Silva}, {Carlos E.} and Eli Dabscheck and Daray, {Federico M.} and Elles Douven and Downing, {Marina G.} and Anthony Feinstein and Ferentinos, {Panagiotis P.} and Fischer, {Felix H.} and Flint, {Alastair J.} and Maiko Fujimori and Pamela Gallagher and Milena Gandy and Simone Goebel and Luigi Grassi and Martin H{\"a}rter and Josef Jenewein and Nathalie Jett{\'e} and Miguel Juli{\~a}o and Kim, {Jae Min} and Kim, {Sung Wan} and Marie Kj{\ae}rgaard and Sebastian K{\"o}hler and Loosman, {Wim L.} and Bernd L{\"o}we and Rocio Martin-Santos and Loreto Massardo and Yutaka Matsuoka and Anja Mehnert and Ioannis Michopoulos and Laurent Misery and Ricard Navines and O'Donnell, {Meaghan L.} and Ahmet {\"O}zt{\"u}rk and Jurate Peceliuniene and Luis Pintor and Ponsford, {Jennie L.} and Quinn, {Terence J.} and Reme, {Silje E.} and Katrin Reuter and Rooney, {Alasdair G.} and Roberto S{\'a}nchez-Gonz{\'a}lez and Schwarzbold, {Marcelo L.} and {Senturk Cankorur}, Vesile and Juwita Shaaban and Louise Sharpe and Michael Sharpe and S{\'e}bastien Simard and Susanne Singer and Lesley Stafford and Jon Stone and Serge Sultan and Teixeira, {Antonio L.} and Istvan Tiringer and Alyna Turner and Jane Walker and Mark Walterfang and Wang, {Liang Jen} and Jennifer White and Wong, {Dana K.} and Andrea Benedetti and Thombs, {Brett D.}",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",

year = "2020",

month = feb,

doi = "10.1016/j.jpsychores.2019.109892",

language = "English",

volume = "129",

journal = "Journal of Psychosomatic Research",

issn = "0022-3999",

publisher = "Elsevier Inc.",

}

Wu, Y, Levis, B, Sun, Y, Krishnan, A, He, C, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Neupane, D, Bhandari, PM, Imran, M, Chiovitti, MJ, Saadat, N, Boruff, JT, Cuijpers, P, Gilbody, S, McMillan, D, Ioannidis, JPA, Kloda, LA, Patten, SB, Shrier, I, Ziegelstein, RC, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Tonelli, M, Al-Adawi, S, Beraldi, A, Braeken, APBM, Büel-Drabe, N, Bunevicius, A, Carter, G, Chen, CK, Cheung, G, Clover, K, Conroy, RM, Cukor, D, da Rocha e Silva, CE, Dabscheck, E, Daray, FM, Douven, E, Downing, MG, Feinstein, A, Ferentinos, PP, Fischer, FH, Flint, AJ, Fujimori, M, Gallagher, P, Gandy, M, Goebel, S, Grassi, L, Härter, M, Jenewein, J, Jetté, N, Julião, M, Kim, JM, Kim, SW, Kjærgaard, M, Köhler, S, Loosman, WL, Löwe, B, Martin-Santos, R, Massardo, L, Matsuoka, Y, Mehnert, A, Michopoulos, I, Misery, L, Navines, R, O'Donnell, ML, Öztürk, A, Peceliuniene, J, Pintor, L, Ponsford, JL, Quinn, TJ, Reme, SE, Reuter, K, Rooney, AG, Sánchez-González, R, Schwarzbold, ML, Senturk Cankorur, V, Shaaban, J, Sharpe, L, Sharpe, M, Simard, S, Singer, S, Stafford, L, Stone, J, Sultan, S, Teixeira, AL, Tiringer, I, Turner, A, Walker, J, Walterfang, M, Wang, LJ, White, J, Wong, DK, Benedetti, A & Thombs, BD 2020, 'Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies', Journal of Psychosomatic Research, vol. 129, 109892. https://doi.org/10.1016/j.jpsychores.2019.109892

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies. / Wu, Yin; Levis, Brooke; Sun, Ying et al.
In: Journal of Psychosomatic Research, Vol. 129, 109892, 02.2020.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores

T2 - An individual participant data meta-analysis of 73 primary studies

AU - Wu, Yin

AU - Levis, Brooke

AU - Sun, Ying

AU - Krishnan, Ankur

AU - He, Chen

AU - Riehm, Kira E.

AU - Rice, Danielle B.

AU - Azar, Marleine

AU - Yan, Xin Wei

AU - Neupane, Dipika

AU - Bhandari, Parash Mani

AU - Imran, Mahrukh

AU - Chiovitti, Matthew J.

AU - Saadat, Nazanin

AU - Boruff, Jill T.

AU - Cuijpers, Pim

AU - Gilbody, Simon

AU - McMillan, Dean

AU - Ioannidis, John P.A.

AU - Kloda, Lorie A.

AU - Patten, Scott B.

AU - Shrier, Ian

AU - Ziegelstein, Roy C.

AU - Henry, Melissa

AU - Ismail, Zahinoor

AU - Loiselle, Carmen G.

AU - Mitchell, Nicholas D.

AU - Tonelli, Marcello

AU - Al-Adawi, Samir

AU - Beraldi, Anna

AU - Braeken, Anna P.B.M.

AU - Büel-Drabe, Natalie

AU - Bunevicius, Adomas

AU - Carter, Gregory

AU - Chen, Chih Ken

AU - Cheung, Gary

AU - Clover, Kerrie

AU - Conroy, Ronán M.

AU - Cukor, Daniel

AU - da Rocha e Silva, Carlos E.

AU - Dabscheck, Eli

AU - Daray, Federico M.

AU - Douven, Elles

AU - Downing, Marina G.

AU - Feinstein, Anthony

AU - Ferentinos, Panagiotis P.

AU - Fischer, Felix H.

AU - Flint, Alastair J.

AU - Fujimori, Maiko

AU - Gallagher, Pamela

AU - Gandy, Milena

AU - Goebel, Simone

AU - Grassi, Luigi

AU - Härter, Martin

AU - Jenewein, Josef

AU - Jetté, Nathalie

AU - Julião, Miguel

AU - Kim, Jae Min

AU - Kim, Sung Wan

AU - Kjærgaard, Marie

AU - Köhler, Sebastian

AU - Loosman, Wim L.

AU - Löwe, Bernd

AU - Martin-Santos, Rocio

AU - Massardo, Loreto

AU - Matsuoka, Yutaka

AU - Mehnert, Anja

AU - Michopoulos, Ioannis

AU - Misery, Laurent

AU - Navines, Ricard

AU - O'Donnell, Meaghan L.

AU - Öztürk, Ahmet

AU - Peceliuniene, Jurate

AU - Pintor, Luis

AU - Ponsford, Jennie L.

AU - Quinn, Terence J.

AU - Reme, Silje E.

AU - Reuter, Katrin

AU - Rooney, Alasdair G.

AU - Sánchez-González, Roberto

AU - Schwarzbold, Marcelo L.

AU - Senturk Cankorur, Vesile

AU - Shaaban, Juwita

AU - Sharpe, Louise

AU - Sharpe, Michael

AU - Simard, Sébastien

AU - Singer, Susanne

AU - Stafford, Lesley

AU - Stone, Jon

AU - Sultan, Serge

AU - Teixeira, Antonio L.

AU - Tiringer, Istvan

AU - Turner, Alyna

AU - Walker, Jane

AU - Walterfang, Mark

AU - Wang, Liang Jen

AU - White, Jennifer

AU - Wong, Dana K.

AU - Benedetti, Andrea

AU - Thombs, Brett D.

PY - 2020/2

Y1 - 2020/2

N2 - Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

AB - Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

KW - Depressive disorders

KW - Diagnostic interviews

KW - Hospital Anxiety and Depression Scale

KW - Individual participant data meta-analysis

KW - Major depression

UR - http://www.scopus.com/inward/record.url?scp=85077315653&partnerID=8YFLogxK

U2 - 10.1016/j.jpsychores.2019.109892

DO - 10.1016/j.jpsychores.2019.109892

M3 - Article

C2 - 31911325

AN - SCOPUS:85077315653

SN - 0022-3999

VL - 129

JO - Journal of Psychosomatic Research

JF - Journal of Psychosomatic Research

M1 - 109892

ER -

Wu Y, Levis B, Sun Y, Krishnan A, He C, Riehm KE et al. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies. Journal of Psychosomatic Research. 2020 Feb;129:109892. doi: 10.1016/j.jpsychores.2019.109892

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this