Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8815862 | Journal of Affective Disorders | 2018 | 48 Pages |
Abstract
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.
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Authors
Chavit Tunvirachaisakul, Rebecca L. Gould, Mark C. Coulson, Emma V. Ward, Gemma Reynolds, Rebecca L. Gathercole, Hannah Grocott, Thitiporn Supasitthumrong, Athicha Tunvirachaisakul, Kate Kimona, Robert J. Howard,