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
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...
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Gespeichert in:
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
Hospital Anxiety and Depression Scale |
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| Übergeordnetes Werk: |
Enthalten in: Journal of psychosomatic research - Amsterdam [u.a.] : Elsevier Science, 1956, 129 |
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| Übergeordnetes Werk: |
volume:129 |
| DOI / URN: |
10.1016/j.jpsychores.2019.109892 |
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| Katalog-ID: |
ELV003466019 |
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| 024 | 7 | |a 10.1016/j.jpsychores.2019.109892 |2 doi | |
| 035 | |a (DE-627)ELV003466019 | ||
| 035 | |a (ELSEVIER)S0022-3999(19)31090-6 | ||
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| 100 | 1 | |a Wu, Yin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a 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 |
| 264 | 1 | |c 2019 | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a 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. | ||
| 650 | 4 | |a Depressive disorders | |
| 650 | 4 | |a Diagnostic interviews | |
| 650 | 4 | |a Hospital Anxiety and Depression Scale | |
| 650 | 4 | |a Individual participant data meta-analysis | |
| 650 | 4 | |a Major depression | |
| 700 | 1 | |a Levis, Brooke |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Krishnan, Ankur |e verfasserin |4 aut | |
| 700 | 1 | |a He, Chen |e verfasserin |4 aut | |
| 700 | 1 | |a Riehm, Kira E. |e verfasserin |4 aut | |
| 700 | 1 | |a Rice, Danielle B. |e verfasserin |4 aut | |
| 700 | 1 | |a Azar, Marleine |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Xin Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Neupane, Dipika |e verfasserin |4 aut | |
| 700 | 1 | |a Bhandari, Parash Mani |e verfasserin |4 aut | |
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| 700 | 1 | |a Boruff, Jill T. |e verfasserin |4 aut | |
| 700 | 1 | |a Cuijpers, Pim |e verfasserin |4 aut | |
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| 700 | 1 | |a Kloda, Lorie A. |e verfasserin |4 aut | |
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| 700 | 1 | |a Ziegelstein, Roy C. |e verfasserin |4 aut | |
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| 700 | 1 | |a Ismail, Zahinoor |e verfasserin |4 aut | |
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| 700 | 1 | |a Cheung, Gary |e verfasserin |4 aut | |
| 700 | 1 | |a Clover, Kerrie |e verfasserin |4 aut | |
| 700 | 1 | |a Conroy, Ronán M. |e verfasserin |4 aut | |
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| 700 | 1 | |a da Rocha e Silva, Carlos E. |e verfasserin |4 aut | |
| 700 | 1 | |a Dabscheck, Eli |e verfasserin |4 aut | |
| 700 | 1 | |a Daray, Federico M. |e verfasserin |4 aut | |
| 700 | 1 | |a Douven, Elles |e verfasserin |4 aut | |
| 700 | 1 | |a Downing, Marina G. |e verfasserin |4 aut | |
| 700 | 1 | |a Feinstein, Anthony |e verfasserin |4 aut | |
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| 700 | 1 | |a Gandy, Milena |e verfasserin |4 aut | |
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| 700 | 1 | |a Härter, Martin |e verfasserin |4 aut | |
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10.1016/j.jpsychores.2019.109892 doi (DE-627)ELV003466019 (ELSEVIER)S0022-3999(19)31090-6 DE-627 ger DE-627 rda eng 610 DE-600 44.91 bkl 77.70 bkl 77.84 bkl Wu, Yin verfasserin aut 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 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression Levis, Brooke verfasserin aut Sun, Ying verfasserin aut Krishnan, Ankur verfasserin aut He, Chen verfasserin aut Riehm, Kira E. verfasserin aut Rice, Danielle B. verfasserin aut Azar, Marleine verfasserin aut Yan, Xin Wei verfasserin aut Neupane, Dipika verfasserin aut Bhandari, Parash Mani verfasserin aut Imran, Mahrukh verfasserin aut Chiovitti, Matthew J. verfasserin aut Saadat, Nazanin verfasserin aut Boruff, Jill T. verfasserin aut Cuijpers, Pim verfasserin aut Gilbody, Simon verfasserin aut McMillan, Dean verfasserin aut Ioannidis, John P.A. verfasserin aut Kloda, Lorie A. verfasserin aut Patten, Scott B. verfasserin aut Shrier, Ian verfasserin aut Ziegelstein, Roy C. verfasserin aut Henry, Melissa verfasserin aut Ismail, Zahinoor verfasserin aut Loiselle, Carmen G. verfasserin aut Mitchell, Nicholas D. verfasserin aut Tonelli, Marcello verfasserin aut Al-Adawi, Samir verfasserin aut Beraldi, Anna verfasserin aut Braeken, Anna P.B.M. verfasserin aut Büel-Drabe, Natalie verfasserin aut Bunevicius, Adomas verfasserin aut Carter, Gregory verfasserin aut Chen, Chih-Ken verfasserin aut Cheung, Gary verfasserin aut Clover, Kerrie verfasserin aut Conroy, Ronán M. verfasserin aut Cukor, Daniel verfasserin aut da Rocha e Silva, Carlos E. verfasserin aut Dabscheck, Eli verfasserin aut Daray, Federico M. verfasserin aut Douven, Elles verfasserin aut Downing, Marina G. verfasserin aut Feinstein, Anthony verfasserin aut Ferentinos, Panagiotis P. verfasserin aut Fischer, Felix H. verfasserin aut Flint, Alastair J. verfasserin aut Fujimori, Maiko verfasserin aut Gallagher, Pamela verfasserin aut Gandy, Milena verfasserin aut Goebel, Simone verfasserin aut Grassi, Luigi verfasserin aut Härter, Martin verfasserin aut Jenewein, Josef verfasserin aut Jetté, Nathalie verfasserin aut Julião, Miguel verfasserin aut Kim, Jae-Min verfasserin aut Kim, Sung-Wan verfasserin aut Kjærgaard, Marie verfasserin aut Köhler, Sebastian verfasserin aut Loosman, Wim L. verfasserin aut Löwe, Bernd verfasserin aut Martin-Santos, Rocio verfasserin aut Massardo, Loreto verfasserin aut Matsuoka, Yutaka verfasserin aut Mehnert, Anja verfasserin aut Michopoulos, Ioannis verfasserin aut Misery, Laurent verfasserin aut Navines, Ricard verfasserin aut O'Donnell, Meaghan L. verfasserin aut Öztürk, Ahmet verfasserin aut Peceliuniene, Jurate verfasserin aut Pintor, Luis verfasserin aut Ponsford, Jennie L. verfasserin aut Quinn, Terence J. verfasserin aut Reme, Silje E. verfasserin aut Reuter, Katrin verfasserin aut Rooney, Alasdair G. verfasserin aut Sánchez-González, Roberto verfasserin aut Schwarzbold, Marcelo L. verfasserin aut Senturk Cankorur, Vesile verfasserin aut Shaaban, Juwita verfasserin aut Sharpe, Louise verfasserin aut Sharpe, Michael verfasserin aut Simard, Sébastien verfasserin aut Singer, Susanne verfasserin aut Stafford, Lesley verfasserin aut Stone, Jon verfasserin aut Sultan, Serge verfasserin aut Teixeira, Antonio L. verfasserin aut Tiringer, Istvan verfasserin aut Turner, Alyna verfasserin aut Walker, Jane verfasserin aut Walterfang, Mark verfasserin aut Wang, Liang-Jen verfasserin aut White, Jennifer verfasserin aut Wong, Dana K. verfasserin aut Benedetti, Andrea verfasserin aut Thombs, Brett D. verfasserin aut Enthalten in Journal of psychosomatic research Amsterdam [u.a.] : Elsevier Science, 1956 129 Online-Ressource (DE-627)306661128 (DE-600)1500642-6 (DE-576)081986726 1879-1360 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.91 Psychiatrie Psychopathologie 77.70 Klinische Psychologie 77.84 Krisenbewältigung AR 129 |
| spelling |
10.1016/j.jpsychores.2019.109892 doi (DE-627)ELV003466019 (ELSEVIER)S0022-3999(19)31090-6 DE-627 ger DE-627 rda eng 610 DE-600 44.91 bkl 77.70 bkl 77.84 bkl Wu, Yin verfasserin aut 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 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression Levis, Brooke verfasserin aut Sun, Ying verfasserin aut Krishnan, Ankur verfasserin aut He, Chen verfasserin aut Riehm, Kira E. verfasserin aut Rice, Danielle B. verfasserin aut Azar, Marleine verfasserin aut Yan, Xin Wei verfasserin aut Neupane, Dipika verfasserin aut Bhandari, Parash Mani verfasserin aut Imran, Mahrukh verfasserin aut Chiovitti, Matthew J. verfasserin aut Saadat, Nazanin verfasserin aut Boruff, Jill T. verfasserin aut Cuijpers, Pim verfasserin aut Gilbody, Simon verfasserin aut McMillan, Dean verfasserin aut Ioannidis, John P.A. verfasserin aut Kloda, Lorie A. verfasserin aut Patten, Scott B. verfasserin aut Shrier, Ian verfasserin aut Ziegelstein, Roy C. verfasserin aut Henry, Melissa verfasserin aut Ismail, Zahinoor verfasserin aut Loiselle, Carmen G. verfasserin aut Mitchell, Nicholas D. verfasserin aut Tonelli, Marcello verfasserin aut Al-Adawi, Samir verfasserin aut Beraldi, Anna verfasserin aut Braeken, Anna P.B.M. verfasserin aut Büel-Drabe, Natalie verfasserin aut Bunevicius, Adomas verfasserin aut Carter, Gregory verfasserin aut Chen, Chih-Ken verfasserin aut Cheung, Gary verfasserin aut Clover, Kerrie verfasserin aut Conroy, Ronán M. verfasserin aut Cukor, Daniel verfasserin aut da Rocha e Silva, Carlos E. verfasserin aut Dabscheck, Eli verfasserin aut Daray, Federico M. verfasserin aut Douven, Elles verfasserin aut Downing, Marina G. verfasserin aut Feinstein, Anthony verfasserin aut Ferentinos, Panagiotis P. verfasserin aut Fischer, Felix H. verfasserin aut Flint, Alastair J. verfasserin aut Fujimori, Maiko verfasserin aut Gallagher, Pamela verfasserin aut Gandy, Milena verfasserin aut Goebel, Simone verfasserin aut Grassi, Luigi verfasserin aut Härter, Martin verfasserin aut Jenewein, Josef verfasserin aut Jetté, Nathalie verfasserin aut Julião, Miguel verfasserin aut Kim, Jae-Min verfasserin aut Kim, Sung-Wan verfasserin aut Kjærgaard, Marie verfasserin aut Köhler, Sebastian verfasserin aut Loosman, Wim L. verfasserin aut Löwe, Bernd verfasserin aut Martin-Santos, Rocio verfasserin aut Massardo, Loreto verfasserin aut Matsuoka, Yutaka verfasserin aut Mehnert, Anja verfasserin aut Michopoulos, Ioannis verfasserin aut Misery, Laurent verfasserin aut Navines, Ricard verfasserin aut O'Donnell, Meaghan L. verfasserin aut Öztürk, Ahmet verfasserin aut Peceliuniene, Jurate verfasserin aut Pintor, Luis verfasserin aut Ponsford, Jennie L. verfasserin aut Quinn, Terence J. verfasserin aut Reme, Silje E. verfasserin aut Reuter, Katrin verfasserin aut Rooney, Alasdair G. verfasserin aut Sánchez-González, Roberto verfasserin aut Schwarzbold, Marcelo L. verfasserin aut Senturk Cankorur, Vesile verfasserin aut Shaaban, Juwita verfasserin aut Sharpe, Louise verfasserin aut Sharpe, Michael verfasserin aut Simard, Sébastien verfasserin aut Singer, Susanne verfasserin aut Stafford, Lesley verfasserin aut Stone, Jon verfasserin aut Sultan, Serge verfasserin aut Teixeira, Antonio L. verfasserin aut Tiringer, Istvan verfasserin aut Turner, Alyna verfasserin aut Walker, Jane verfasserin aut Walterfang, Mark verfasserin aut Wang, Liang-Jen verfasserin aut White, Jennifer verfasserin aut Wong, Dana K. verfasserin aut Benedetti, Andrea verfasserin aut Thombs, Brett D. verfasserin aut Enthalten in Journal of psychosomatic research Amsterdam [u.a.] : Elsevier Science, 1956 129 Online-Ressource (DE-627)306661128 (DE-600)1500642-6 (DE-576)081986726 1879-1360 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.91 Psychiatrie Psychopathologie 77.70 Klinische Psychologie 77.84 Krisenbewältigung AR 129 |
| allfields_unstemmed |
10.1016/j.jpsychores.2019.109892 doi (DE-627)ELV003466019 (ELSEVIER)S0022-3999(19)31090-6 DE-627 ger DE-627 rda eng 610 DE-600 44.91 bkl 77.70 bkl 77.84 bkl Wu, Yin verfasserin aut 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 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression Levis, Brooke verfasserin aut Sun, Ying verfasserin aut Krishnan, Ankur verfasserin aut He, Chen verfasserin aut Riehm, Kira E. verfasserin aut Rice, Danielle B. verfasserin aut Azar, Marleine verfasserin aut Yan, Xin Wei verfasserin aut Neupane, Dipika verfasserin aut Bhandari, Parash Mani verfasserin aut Imran, Mahrukh verfasserin aut Chiovitti, Matthew J. verfasserin aut Saadat, Nazanin verfasserin aut Boruff, Jill T. verfasserin aut Cuijpers, Pim verfasserin aut Gilbody, Simon verfasserin aut McMillan, Dean verfasserin aut Ioannidis, John P.A. verfasserin aut Kloda, Lorie A. verfasserin aut Patten, Scott B. verfasserin aut Shrier, Ian verfasserin aut Ziegelstein, Roy C. verfasserin aut Henry, Melissa verfasserin aut Ismail, Zahinoor verfasserin aut Loiselle, Carmen G. verfasserin aut Mitchell, Nicholas D. verfasserin aut Tonelli, Marcello verfasserin aut Al-Adawi, Samir verfasserin aut Beraldi, Anna verfasserin aut Braeken, Anna P.B.M. verfasserin aut Büel-Drabe, Natalie verfasserin aut Bunevicius, Adomas verfasserin aut Carter, Gregory verfasserin aut Chen, Chih-Ken verfasserin aut Cheung, Gary verfasserin aut Clover, Kerrie verfasserin aut Conroy, Ronán M. verfasserin aut Cukor, Daniel verfasserin aut da Rocha e Silva, Carlos E. verfasserin aut Dabscheck, Eli verfasserin aut Daray, Federico M. verfasserin aut Douven, Elles verfasserin aut Downing, Marina G. verfasserin aut Feinstein, Anthony verfasserin aut Ferentinos, Panagiotis P. verfasserin aut Fischer, Felix H. verfasserin aut Flint, Alastair J. verfasserin aut Fujimori, Maiko verfasserin aut Gallagher, Pamela verfasserin aut Gandy, Milena verfasserin aut Goebel, Simone verfasserin aut Grassi, Luigi verfasserin aut Härter, Martin verfasserin aut Jenewein, Josef verfasserin aut Jetté, Nathalie verfasserin aut Julião, Miguel verfasserin aut Kim, Jae-Min verfasserin aut Kim, Sung-Wan verfasserin aut Kjærgaard, Marie verfasserin aut Köhler, Sebastian verfasserin aut Loosman, Wim L. verfasserin aut Löwe, Bernd verfasserin aut Martin-Santos, Rocio verfasserin aut Massardo, Loreto verfasserin aut Matsuoka, Yutaka verfasserin aut Mehnert, Anja verfasserin aut Michopoulos, Ioannis verfasserin aut Misery, Laurent verfasserin aut Navines, Ricard verfasserin aut O'Donnell, Meaghan L. verfasserin aut Öztürk, Ahmet verfasserin aut Peceliuniene, Jurate verfasserin aut Pintor, Luis verfasserin aut Ponsford, Jennie L. verfasserin aut Quinn, Terence J. verfasserin aut Reme, Silje E. verfasserin aut Reuter, Katrin verfasserin aut Rooney, Alasdair G. verfasserin aut Sánchez-González, Roberto verfasserin aut Schwarzbold, Marcelo L. verfasserin aut Senturk Cankorur, Vesile verfasserin aut Shaaban, Juwita verfasserin aut Sharpe, Louise verfasserin aut Sharpe, Michael verfasserin aut Simard, Sébastien verfasserin aut Singer, Susanne verfasserin aut Stafford, Lesley verfasserin aut Stone, Jon verfasserin aut Sultan, Serge verfasserin aut Teixeira, Antonio L. verfasserin aut Tiringer, Istvan verfasserin aut Turner, Alyna verfasserin aut Walker, Jane verfasserin aut Walterfang, Mark verfasserin aut Wang, Liang-Jen verfasserin aut White, Jennifer verfasserin aut Wong, Dana K. verfasserin aut Benedetti, Andrea verfasserin aut Thombs, Brett D. verfasserin aut Enthalten in Journal of psychosomatic research Amsterdam [u.a.] : Elsevier Science, 1956 129 Online-Ressource (DE-627)306661128 (DE-600)1500642-6 (DE-576)081986726 1879-1360 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.91 Psychiatrie Psychopathologie 77.70 Klinische Psychologie 77.84 Krisenbewältigung AR 129 |
| allfieldsGer |
10.1016/j.jpsychores.2019.109892 doi (DE-627)ELV003466019 (ELSEVIER)S0022-3999(19)31090-6 DE-627 ger DE-627 rda eng 610 DE-600 44.91 bkl 77.70 bkl 77.84 bkl Wu, Yin verfasserin aut 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 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression Levis, Brooke verfasserin aut Sun, Ying verfasserin aut Krishnan, Ankur verfasserin aut He, Chen verfasserin aut Riehm, Kira E. verfasserin aut Rice, Danielle B. verfasserin aut Azar, Marleine verfasserin aut Yan, Xin Wei verfasserin aut Neupane, Dipika verfasserin aut Bhandari, Parash Mani verfasserin aut Imran, Mahrukh verfasserin aut Chiovitti, Matthew J. verfasserin aut Saadat, Nazanin verfasserin aut Boruff, Jill T. verfasserin aut Cuijpers, Pim verfasserin aut Gilbody, Simon verfasserin aut McMillan, Dean verfasserin aut Ioannidis, John P.A. verfasserin aut Kloda, Lorie A. verfasserin aut Patten, Scott B. verfasserin aut Shrier, Ian verfasserin aut Ziegelstein, Roy C. verfasserin aut Henry, Melissa verfasserin aut Ismail, Zahinoor verfasserin aut Loiselle, Carmen G. verfasserin aut Mitchell, Nicholas D. verfasserin aut Tonelli, Marcello verfasserin aut Al-Adawi, Samir verfasserin aut Beraldi, Anna verfasserin aut Braeken, Anna P.B.M. verfasserin aut Büel-Drabe, Natalie verfasserin aut Bunevicius, Adomas verfasserin aut Carter, Gregory verfasserin aut Chen, Chih-Ken verfasserin aut Cheung, Gary verfasserin aut Clover, Kerrie verfasserin aut Conroy, Ronán M. verfasserin aut Cukor, Daniel verfasserin aut da Rocha e Silva, Carlos E. verfasserin aut Dabscheck, Eli verfasserin aut Daray, Federico M. verfasserin aut Douven, Elles verfasserin aut Downing, Marina G. verfasserin aut Feinstein, Anthony verfasserin aut Ferentinos, Panagiotis P. verfasserin aut Fischer, Felix H. verfasserin aut Flint, Alastair J. verfasserin aut Fujimori, Maiko verfasserin aut Gallagher, Pamela verfasserin aut Gandy, Milena verfasserin aut Goebel, Simone verfasserin aut Grassi, Luigi verfasserin aut Härter, Martin verfasserin aut Jenewein, Josef verfasserin aut Jetté, Nathalie verfasserin aut Julião, Miguel verfasserin aut Kim, Jae-Min verfasserin aut Kim, Sung-Wan verfasserin aut Kjærgaard, Marie verfasserin aut Köhler, Sebastian verfasserin aut Loosman, Wim L. verfasserin aut Löwe, Bernd verfasserin aut Martin-Santos, Rocio verfasserin aut Massardo, Loreto verfasserin aut Matsuoka, Yutaka verfasserin aut Mehnert, Anja verfasserin aut Michopoulos, Ioannis verfasserin aut Misery, Laurent verfasserin aut Navines, Ricard verfasserin aut O'Donnell, Meaghan L. verfasserin aut Öztürk, Ahmet verfasserin aut Peceliuniene, Jurate verfasserin aut Pintor, Luis verfasserin aut Ponsford, Jennie L. verfasserin aut Quinn, Terence J. verfasserin aut Reme, Silje E. verfasserin aut Reuter, Katrin verfasserin aut Rooney, Alasdair G. verfasserin aut Sánchez-González, Roberto verfasserin aut Schwarzbold, Marcelo L. verfasserin aut Senturk Cankorur, Vesile verfasserin aut Shaaban, Juwita verfasserin aut Sharpe, Louise verfasserin aut Sharpe, Michael verfasserin aut Simard, Sébastien verfasserin aut Singer, Susanne verfasserin aut Stafford, Lesley verfasserin aut Stone, Jon verfasserin aut Sultan, Serge verfasserin aut Teixeira, Antonio L. verfasserin aut Tiringer, Istvan verfasserin aut Turner, Alyna verfasserin aut Walker, Jane verfasserin aut Walterfang, Mark verfasserin aut Wang, Liang-Jen verfasserin aut White, Jennifer verfasserin aut Wong, Dana K. verfasserin aut Benedetti, Andrea verfasserin aut Thombs, Brett D. verfasserin aut Enthalten in Journal of psychosomatic research Amsterdam [u.a.] : Elsevier Science, 1956 129 Online-Ressource (DE-627)306661128 (DE-600)1500642-6 (DE-576)081986726 1879-1360 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.91 Psychiatrie Psychopathologie 77.70 Klinische Psychologie 77.84 Krisenbewältigung AR 129 |
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10.1016/j.jpsychores.2019.109892 doi (DE-627)ELV003466019 (ELSEVIER)S0022-3999(19)31090-6 DE-627 ger DE-627 rda eng 610 DE-600 44.91 bkl 77.70 bkl 77.84 bkl Wu, Yin verfasserin aut 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 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression Levis, Brooke verfasserin aut Sun, Ying verfasserin aut Krishnan, Ankur verfasserin aut He, Chen verfasserin aut Riehm, Kira E. verfasserin aut Rice, Danielle B. verfasserin aut Azar, Marleine verfasserin aut Yan, Xin Wei verfasserin aut Neupane, Dipika verfasserin aut Bhandari, Parash Mani verfasserin aut Imran, Mahrukh verfasserin aut Chiovitti, Matthew J. verfasserin aut Saadat, Nazanin verfasserin aut Boruff, Jill T. verfasserin aut Cuijpers, Pim verfasserin aut Gilbody, Simon verfasserin aut McMillan, Dean verfasserin aut Ioannidis, John P.A. verfasserin aut Kloda, Lorie A. verfasserin aut Patten, Scott B. verfasserin aut Shrier, Ian verfasserin aut Ziegelstein, Roy C. verfasserin aut Henry, Melissa verfasserin aut Ismail, Zahinoor verfasserin aut Loiselle, Carmen G. verfasserin aut Mitchell, Nicholas D. verfasserin aut Tonelli, Marcello verfasserin aut Al-Adawi, Samir verfasserin aut Beraldi, Anna verfasserin aut Braeken, Anna P.B.M. verfasserin aut Büel-Drabe, Natalie verfasserin aut Bunevicius, Adomas verfasserin aut Carter, Gregory verfasserin aut Chen, Chih-Ken verfasserin aut Cheung, Gary verfasserin aut Clover, Kerrie verfasserin aut Conroy, Ronán M. verfasserin aut Cukor, Daniel verfasserin aut da Rocha e Silva, Carlos E. verfasserin aut Dabscheck, Eli verfasserin aut Daray, Federico M. verfasserin aut Douven, Elles verfasserin aut Downing, Marina G. verfasserin aut Feinstein, Anthony verfasserin aut Ferentinos, Panagiotis P. verfasserin aut Fischer, Felix H. verfasserin aut Flint, Alastair J. verfasserin aut Fujimori, Maiko verfasserin aut Gallagher, Pamela verfasserin aut Gandy, Milena verfasserin aut Goebel, Simone verfasserin aut Grassi, Luigi verfasserin aut Härter, Martin verfasserin aut Jenewein, Josef verfasserin aut Jetté, Nathalie verfasserin aut Julião, Miguel verfasserin aut Kim, Jae-Min verfasserin aut Kim, Sung-Wan verfasserin aut Kjærgaard, Marie verfasserin aut Köhler, Sebastian verfasserin aut Loosman, Wim L. verfasserin aut Löwe, Bernd verfasserin aut Martin-Santos, Rocio verfasserin aut Massardo, Loreto verfasserin aut Matsuoka, Yutaka verfasserin aut Mehnert, Anja verfasserin aut Michopoulos, Ioannis verfasserin aut Misery, Laurent verfasserin aut Navines, Ricard verfasserin aut O'Donnell, Meaghan L. verfasserin aut Öztürk, Ahmet verfasserin aut Peceliuniene, Jurate verfasserin aut Pintor, Luis verfasserin aut Ponsford, Jennie L. verfasserin aut Quinn, Terence J. verfasserin aut Reme, Silje E. verfasserin aut Reuter, Katrin verfasserin aut Rooney, Alasdair G. verfasserin aut Sánchez-González, Roberto verfasserin aut Schwarzbold, Marcelo L. verfasserin aut Senturk Cankorur, Vesile verfasserin aut Shaaban, Juwita verfasserin aut Sharpe, Louise verfasserin aut Sharpe, Michael verfasserin aut Simard, Sébastien verfasserin aut Singer, Susanne verfasserin aut Stafford, Lesley verfasserin aut Stone, Jon verfasserin aut Sultan, Serge verfasserin aut Teixeira, Antonio L. verfasserin aut Tiringer, Istvan verfasserin aut Turner, Alyna verfasserin aut Walker, Jane verfasserin aut Walterfang, Mark verfasserin aut Wang, Liang-Jen verfasserin aut White, Jennifer verfasserin aut Wong, Dana K. verfasserin aut Benedetti, Andrea verfasserin aut Thombs, Brett D. verfasserin aut Enthalten in Journal of psychosomatic research Amsterdam [u.a.] : Elsevier Science, 1956 129 Online-Ressource (DE-627)306661128 (DE-600)1500642-6 (DE-576)081986726 1879-1360 nnns volume:129 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.91 Psychiatrie Psychopathologie 77.70 Klinische Psychologie 77.84 Krisenbewältigung AR 129 |
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Depressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depression |
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Wu, Yin @@aut@@ Levis, Brooke @@aut@@ Sun, Ying @@aut@@ Krishnan, Ankur @@aut@@ He, Chen @@aut@@ Riehm, Kira E. @@aut@@ Rice, Danielle B. @@aut@@ Azar, Marleine @@aut@@ Yan, Xin Wei @@aut@@ Neupane, Dipika @@aut@@ Bhandari, Parash Mani @@aut@@ Imran, Mahrukh @@aut@@ Chiovitti, Matthew J. @@aut@@ Saadat, Nazanin @@aut@@ Boruff, Jill T. @@aut@@ Cuijpers, Pim @@aut@@ Gilbody, Simon @@aut@@ McMillan, Dean @@aut@@ Ioannidis, John P.A. @@aut@@ Kloda, Lorie A. @@aut@@ Patten, Scott B. @@aut@@ Shrier, Ian @@aut@@ Ziegelstein, Roy C. @@aut@@ Henry, Melissa @@aut@@ Ismail, Zahinoor @@aut@@ Loiselle, Carmen G. @@aut@@ Mitchell, Nicholas D. @@aut@@ Tonelli, Marcello @@aut@@ Al-Adawi, Samir @@aut@@ Beraldi, Anna @@aut@@ Braeken, Anna P.B.M. @@aut@@ Büel-Drabe, Natalie @@aut@@ Bunevicius, Adomas @@aut@@ Carter, Gregory @@aut@@ Chen, Chih-Ken @@aut@@ Cheung, Gary @@aut@@ Clover, Kerrie @@aut@@ Conroy, Ronán M. @@aut@@ Cukor, Daniel @@aut@@ da Rocha e Silva, Carlos E. @@aut@@ Dabscheck, Eli @@aut@@ Daray, Federico M. @@aut@@ Douven, Elles @@aut@@ Downing, Marina G. @@aut@@ Feinstein, Anthony @@aut@@ Ferentinos, Panagiotis P. @@aut@@ Fischer, Felix H. @@aut@@ Flint, Alastair J. @@aut@@ Fujimori, Maiko @@aut@@ Gallagher, Pamela @@aut@@ Gandy, Milena @@aut@@ Goebel, Simone @@aut@@ Grassi, Luigi @@aut@@ Härter, Martin @@aut@@ Jenewein, Josef @@aut@@ Jetté, Nathalie @@aut@@ Julião, Miguel @@aut@@ Kim, Jae-Min @@aut@@ Kim, Sung-Wan @@aut@@ Kjærgaard, Marie @@aut@@ Köhler, Sebastian @@aut@@ Loosman, Wim L. @@aut@@ Löwe, Bernd @@aut@@ Martin-Santos, Rocio @@aut@@ Massardo, Loreto @@aut@@ Matsuoka, Yutaka @@aut@@ Mehnert, Anja @@aut@@ Michopoulos, Ioannis @@aut@@ Misery, Laurent @@aut@@ Navines, Ricard @@aut@@ O'Donnell, Meaghan L. @@aut@@ Öztürk, Ahmet @@aut@@ Peceliuniene, Jurate @@aut@@ Pintor, Luis @@aut@@ Ponsford, Jennie L. @@aut@@ Quinn, Terence J. @@aut@@ Reme, Silje E. @@aut@@ Reuter, Katrin @@aut@@ Rooney, Alasdair G. @@aut@@ Sánchez-González, Roberto @@aut@@ Schwarzbold, Marcelo L. @@aut@@ Senturk Cankorur, Vesile @@aut@@ Shaaban, Juwita @@aut@@ Sharpe, Louise @@aut@@ Sharpe, Michael @@aut@@ Simard, Sébastien @@aut@@ Singer, Susanne @@aut@@ Stafford, Lesley @@aut@@ Stone, Jon @@aut@@ Sultan, Serge @@aut@@ Teixeira, Antonio L. @@aut@@ Tiringer, Istvan @@aut@@ Turner, Alyna @@aut@@ Walker, Jane @@aut@@ Walterfang, Mark @@aut@@ Wang, Liang-Jen @@aut@@ White, Jennifer @@aut@@ Wong, Dana K. @@aut@@ Benedetti, Andrea @@aut@@ Thombs, Brett D. @@aut@@ |
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2019-01-01T00:00:00Z |
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3610 |
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ELV003466019 |
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englisch |
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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 |
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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 |
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Wu, Yin Levis, Brooke Sun, Ying Krishnan, Ankur He, Chen Riehm, Kira E. Rice, Danielle B. Azar, Marleine Yan, Xin Wei Neupane, Dipika Bhandari, Parash Mani Imran, Mahrukh Chiovitti, Matthew J. Saadat, Nazanin Boruff, Jill T. Cuijpers, Pim Gilbody, Simon McMillan, Dean Ioannidis, John P.A. Kloda, Lorie A. Patten, Scott B. Shrier, Ian Ziegelstein, Roy C. Henry, Melissa Ismail, Zahinoor Loiselle, Carmen G. Mitchell, Nicholas D. Tonelli, Marcello Al-Adawi, Samir Beraldi, Anna Braeken, Anna P.B.M. Büel-Drabe, Natalie Bunevicius, Adomas Carter, Gregory Chen, Chih-Ken Cheung, Gary Clover, Kerrie Conroy, Ronán M. Cukor, Daniel da Rocha e Silva, Carlos E. Dabscheck, Eli Daray, Federico M. Douven, Elles Downing, Marina G. Feinstein, Anthony Ferentinos, Panagiotis P. Fischer, Felix H. Flint, Alastair J. Fujimori, Maiko Gallagher, Pamela Gandy, Milena Goebel, Simone Grassi, Luigi Härter, Martin Jenewein, Josef Jetté, Nathalie Julião, Miguel Kim, Jae-Min Kim, Sung-Wan Kjærgaard, Marie Köhler, Sebastian Loosman, Wim L. Löwe, Bernd Martin-Santos, Rocio Massardo, Loreto Matsuoka, Yutaka Mehnert, Anja Michopoulos, Ioannis Misery, Laurent Navines, Ricard O'Donnell, Meaghan L. Öztürk, Ahmet Peceliuniene, Jurate Pintor, Luis Ponsford, Jennie L. Quinn, Terence J. Reme, Silje E. Reuter, Katrin Rooney, Alasdair G. Sánchez-González, Roberto Schwarzbold, Marcelo L. Senturk Cankorur, Vesile Shaaban, Juwita Sharpe, Louise Sharpe, Michael Simard, Sébastien Singer, Susanne Stafford, Lesley Stone, Jon Sultan, Serge Teixeira, Antonio L. Tiringer, Istvan Turner, Alyna Walker, Jane Walterfang, Mark Wang, Liang-Jen White, Jennifer Wong, Dana K. Benedetti, Andrea Thombs, Brett D. |
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10.1016/j.jpsychores.2019.109892 |
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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 |
| title_auth |
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. |
| abstractGer |
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. |
| abstract_unstemmed |
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. |
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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 |
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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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Depressive disorders</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diagnostic interviews</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hospital Anxiety and Depression Scale</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Individual participant data meta-analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Major depression</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Levis, Brooke</subfield><subfield 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| score |
7.401186 |