Predictors of treatment outcome in depression in later life: A systematic review and meta-analysis

Journal of Affective Disorders
Chavit TunvirachaisakulRobert Howard

Abstract

Predictor analyses of late-life depression can be used to identify variables associated with outcomes of treatments, and hence ways of tailoring specific treatments to patients. The aim of this review was to systematically identify, review and meta-analyse predictors of outcomes of any type of treatment for late-life depression. Pubmed, Embase, CINAHL, Web of Science and PsycINFO were searched for studies published up to December 2016. Primary and secondary studies reported treatment predictors from randomised controlled trials of any treatment for patients with major depressive disorder aged over 60 were included. Treatment outcomes included response, remission and change in depression score. Sixty-seven studies met the inclusion criteria. Of 65 identified statistically significant predictors, only 7 were reported in at least 3 studies. Of these, 5 were included in meta-analyses, and only 3 were statistically significant. Most studies were rated as being of moderate to strong quality and satisfied key quality criteria for predictor analyses. The searches were limited to randomised controlled trials and most of the included studies were secondary analyses. Baseline depression severity, co-morbid anxiety, executive dysfunction, ...Continue Reading

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Nov 28, 2018·Journal of Geriatric Psychiatry and Neurology·Caroline Masse-SibilleChopard Gilles
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