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Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis

INTRODUCTION: The 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included pat...

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Autores principales: Benedetti, Andrea, Wu, Yin, Levis, Brooke, Wilchesky, Machelle, Boruff, Jill, Ioannidis, John P A, Patten, Scott B, Cuijpers, Pim, Shrier, Ian, Gilbody, Simon, Ismail, Zahinoor, McMillan, Dean, Mitchell, Nicholas, Ziegelstein, Roy C, Thombs, Brett D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286470/
https://www.ncbi.nlm.nih.gov/pubmed/30518594
http://dx.doi.org/10.1136/bmjopen-2018-026598
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author Benedetti, Andrea
Wu, Yin
Levis, Brooke
Wilchesky, Machelle
Boruff, Jill
Ioannidis, John P A
Patten, Scott B
Cuijpers, Pim
Shrier, Ian
Gilbody, Simon
Ismail, Zahinoor
McMillan, Dean
Mitchell, Nicholas
Ziegelstein, Roy C
Thombs, Brett D
author_facet Benedetti, Andrea
Wu, Yin
Levis, Brooke
Wilchesky, Machelle
Boruff, Jill
Ioannidis, John P A
Patten, Scott B
Cuijpers, Pim
Shrier, Ian
Gilbody, Simon
Ismail, Zahinoor
McMillan, Dean
Mitchell, Nicholas
Ziegelstein, Roy C
Thombs, Brett D
author_sort Benedetti, Andrea
collection PubMed
description INTRODUCTION: The 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting). METHODS AND ANALYSIS: Individual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. ETHICS AND DISSEMINATION: The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy. PROSPERO REGISTRATION NUMBER: CRD42018104329.
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spelling pubmed-62864702018-12-26 Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis Benedetti, Andrea Wu, Yin Levis, Brooke Wilchesky, Machelle Boruff, Jill Ioannidis, John P A Patten, Scott B Cuijpers, Pim Shrier, Ian Gilbody, Simon Ismail, Zahinoor McMillan, Dean Mitchell, Nicholas Ziegelstein, Roy C Thombs, Brett D BMJ Open Mental Health INTRODUCTION: The 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting). METHODS AND ANALYSIS: Individual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. ETHICS AND DISSEMINATION: The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy. PROSPERO REGISTRATION NUMBER: CRD42018104329. BMJ Publishing Group 2018-12-04 /pmc/articles/PMC6286470/ /pubmed/30518594 http://dx.doi.org/10.1136/bmjopen-2018-026598 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Mental Health
Benedetti, Andrea
Wu, Yin
Levis, Brooke
Wilchesky, Machelle
Boruff, Jill
Ioannidis, John P A
Patten, Scott B
Cuijpers, Pim
Shrier, Ian
Gilbody, Simon
Ismail, Zahinoor
McMillan, Dean
Mitchell, Nicholas
Ziegelstein, Roy C
Thombs, Brett D
Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title_full Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title_fullStr Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title_full_unstemmed Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title_short Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
title_sort diagnostic accuracy of the geriatric depression scale-30, geriatric depression scale-15, geriatric depression scale-5 and geriatric depression scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286470/
https://www.ncbi.nlm.nih.gov/pubmed/30518594
http://dx.doi.org/10.1136/bmjopen-2018-026598
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