The efficacy of antidepressant medication and interpersonal psychotherapy for adult acute-phase depression: study protocol of a systematic review and meta-analysis of individual participant data.

Depression antidepressant medication efficacy individual participant data meta-analysis interpersonal psychotherapy

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
19 Feb 2021
Historique:
entrez: 19 2 2021
pubmed: 20 2 2021
medline: 20 2 2021
Statut: epublish

Résumé

Antidepressant medication and interpersonal psychotherapy (IPT) are both recommended interventions in depression treatment guidelines based on literature reviews and meta-analyses. However, 'conventional' meta-analyses comparing their efficacy are limited by their reliance on reported study-level information and a narrow focus on depression outcome measures assessed at treatment completion. Individual participant data (IPD) meta-analysis, considered the gold standard in evidence synthesis, can improve the quality of the analyses when compared with conventional meta-analysis. We describe the protocol for a systematic review and IPD meta-analysis comparing the efficacy of antidepressants and IPT for adult acute-phase depression across a range of outcome measures, including depressive symptom severity as well as functioning and well-being, at both post-treatment and follow-up (PROSPERO: CRD42020219891). We will conduct a systematic literature search in PubMed, PsycINFO, Embase and the Cochrane Library to identify randomised clinical trials comparing antidepressants and IPT in the acute-phase treatment of adults with depression. We will invite the authors of these studies to share the participant-level data of their trials. One-stage IPD meta-analyses will be conducted using mixed-effects models to assess treatment effects at post-treatment and follow-up for all outcome measures that are assessed in at least two studies. This will be the first IPD meta-analysis examining antidepressants versus IPT efficacy. This study has the potential to enhance our knowledge of depression treatment by comparing the short- and long-term effects of two widely used interventions across a range of outcome measures using state-of-the-art statistical techniques.

Sections du résumé

BACKGROUND BACKGROUND
Antidepressant medication and interpersonal psychotherapy (IPT) are both recommended interventions in depression treatment guidelines based on literature reviews and meta-analyses. However, 'conventional' meta-analyses comparing their efficacy are limited by their reliance on reported study-level information and a narrow focus on depression outcome measures assessed at treatment completion. Individual participant data (IPD) meta-analysis, considered the gold standard in evidence synthesis, can improve the quality of the analyses when compared with conventional meta-analysis.
AIMS OBJECTIVE
We describe the protocol for a systematic review and IPD meta-analysis comparing the efficacy of antidepressants and IPT for adult acute-phase depression across a range of outcome measures, including depressive symptom severity as well as functioning and well-being, at both post-treatment and follow-up (PROSPERO: CRD42020219891).
METHOD METHODS
We will conduct a systematic literature search in PubMed, PsycINFO, Embase and the Cochrane Library to identify randomised clinical trials comparing antidepressants and IPT in the acute-phase treatment of adults with depression. We will invite the authors of these studies to share the participant-level data of their trials. One-stage IPD meta-analyses will be conducted using mixed-effects models to assess treatment effects at post-treatment and follow-up for all outcome measures that are assessed in at least two studies.
CONCLUSIONS CONCLUSIONS
This will be the first IPD meta-analysis examining antidepressants versus IPT efficacy. This study has the potential to enhance our knowledge of depression treatment by comparing the short- and long-term effects of two widely used interventions across a range of outcome measures using state-of-the-art statistical techniques.

Identifiants

pubmed: 33602371
doi: 10.1192/bjo.2021.4
pii: S2056472421000041
pmc: PMC8058821
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e56

Subventions

Organisme : NIA NIH HHS
ID : P01 AG012435
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066530
Pays : United States

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Auteurs

Ellen Driessen (E)

Department of Clinical Psychology, Behavioural Science Institute, Radboud University, the Netherlands; and Depression Expertise Center, Pro Persona Mental Health Care, the Netherlands.

Zachary D Cohen (ZD)

Department of Psychiatry, University of California Los Angeles, USA.

Myrna M Weissman (MM)

Columbia University Vagelos College of Physicians & Surgeons, New York State Psychiatric Institute, USA.

John C Markowitz (JC)

Columbia University Vagelos College of Physicians & Surgeons, New York State Psychiatric Institute, USA.

Erica S Weitz (ES)

Department of Psychology, University of Pennsylvania, USA.

Steven D Hollon (SD)

Department of Psychology, Vanderbilt University, USA.

Dillon T Browne (DT)

Department of Psychology, University of Waterloo, Canada.

Paola Rucci (P)

Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy.

Carolina Corda (C)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy.

Marco Menchetti (M)

Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy.

R Michael Bagby (RM)

Departments of Psychology and Psychiatry, and Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Canada.

Lena C Quilty (LC)

Department of Psychiatry, University of Toronto, Canada.

Michael W O'Hara (MW)

Department of Psychological and Brain Sciences, University of Iowa, USA.

Caron Zlotnick (C)

Departments of Psychiatry and Human Behavior, Medicine, and Obstetrics and Gynecology, Brown University, USA; and Butler Hospital, USA.

Teri Pearlstein (T)

Alpert Medical School of Brown University, USA.

Marc B J Blom (MBJ)

Parnassia Groep, the Netherlands.

Mario Altamura (M)

Department of Clinical and Experimental Medicine, University of Foggia, Italy.

Carlos Gois (C)

Department of Psychiatry, University of Lisbon, Portugal.

Lon S Schneider (LS)

Department of Psychiatry and Neuroscience, Keck School of Medicine of USC, USA.

Jos W R Twisk (JWR)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, the Netherlands.

Pim Cuijpers (P)

Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands.

Classifications MeSH