Screening for poststroke major depression: a meta-analysis of diagnostic validity studies

Area of Science:

• Neurology
• Psychiatry
• Clinical Research

Background:

• Major depression is a significant complication in stroke survivors, increasing disability and mortality.
• Early identification of depression is vital for improving both mental and physical health outcomes in this population.

Purpose of the Study:

• To systematically review and identify the most accurate diagnostic tools for detecting poststroke depression.
• To evaluate the effectiveness of various screening instruments in identifying depression following a stroke.

Main Methods:

• A comprehensive literature search was conducted across seven databases up to November 2012.
• Studies were selected based on established diagnostic criteria for depression (ICD or DSM).
• Meta-analyses were employed to synthesize data from 24 included studies involving 2907 participants.

Main Results:

• The Center of Epidemiological Studies-Depression Scale (CESD), Hamilton Depression Rating Scale (HDRS), and Patient Health Questionnaire (PHQ)-9 demonstrated favorable sensitivity and specificity.
• Specifically, the PHQ-9 (sensitivity: 0.86, specificity: 0.79) and HDRS (sensitivity: 0.84, specificity: 0.83) were identified as optimal screening measures.
• Despite promising results, the overall clinical utility of these tools for definitive case-finding in poststroke depression was modest.

Conclusions:

• While several instruments show potential for screening poststroke depression, none are currently satisfactory for conclusive case-finding.
• Preliminary evidence suggests the CESD, HDRS, and PHQ-9 are the most promising screening options.
• It is essential that these scales are used in conjunction with comprehensive clinical evaluations, not in isolation, for accurate diagnosis.