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Background: 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.Methods: 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.Results: 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.Limitations: The searches were limited to randomised controlled trials and most of the included studies were secondary analyses.Conclusions: Baseline depression severity, co-morbid anxiety, executive dysfunction, current episode duration, early improvement, physical illnesses and age were reported as statistically significant predictors of treatment outcomes. Only the first three were significant in meta-analyses. Subgroup analyses showed differences in predictor effect between biological and psychosocial treatment. However, high heterogeneity and small study numbers suggest a cautious interpretation of results. These predictors were associated with various mechanisms including brain pathophysiology, perceived social support and proposed distinct types of depressive disorder. Further investigation of the clinical utility of these predictors is suggested. [ABSTRACT FROM AUTHOR]

Objectives To review the effectiveness of cognitive behavioral therapy ( CBT) for depression in older people, together with factors associated with its efficacy. Design Online literature databases and registers were searched for randomized controlled trials ( RCTs) of CBT for depression in older people. Random-effects meta-analysis and meta-regression were conducted. Setting Studies involving participants from the community and inpatient and outpatient clinical settings were included in the meta-analysis. Participants Older people with major or minor depression, dysthymia, or depressive symptoms. Measurements Evidence-based outcome measures of depression. Results Four hundred eighty-five studies were identified, of which 23 were included. At the end of the intervention, CBT was significantly more effective at reducing depressive symptoms (irrespective of whether rated by clinicians or participants) than treatment as usual ( TAU) or being on a waiting list but not than active controls. The same pattern of results was found for 6-month follow-up. At all other time-points, pooled effect sizes in favor of CBT were nonsignificant. Clinician-rated outcome measures resulted in larger effect sizes in favor of CBT than self-rated measures. No significant differences in efficacy were found between CBT and other treatment (pharmacotherapy and other psychotherapies). Meta-regression analyses revealed four factors that predicted effect sizes for comparisons between CBT and control conditions, including whether concurrent pharmacotherapy was allowed. Conclusion CBT for depression in older people is more effective than waiting list or TAU, but greater efficacy than active controls or other treatment has not been demonstrated. More high-quality RCTs comparing CBT with active controls need to be conducted before firm conclusions can be drawn about the efficacy of CBT for depression in older people. Other treatment approaches that could be contrasted with or augment CBT (e.g., pharmacotherapy) also need to be explored further. [ABSTRACT FROM AUTHOR]