Key result
A clinical prediction rule incorporating simple depression-related predictors achieved a c-statistic of 0.80 (95% CI 0.76-0.83) for detecting major depressive disorder in primary care patients.
Why the study?
Does a clinical prediction rule accurately identify major depressive disorder in primary care patients?
Cross-Sectional (n=1,046)
Yes
Does a clinical prediction rule accurately identify major depressive disorder in primary care patients?
Effect estimate: c-statistic 0.80 (95% CI 0.76-0.83)
A simple clinical prediction rule can help general practitioners identify primary care patients who warrant diagnostic workup for major depressive disorder.
No takes yet. Share an insight, caveat, or question.
May aid MDD identification in primary care; leaves open prospective validation and outcome impact.
Zuithoff et al. (2009) conducted a cross-sectional in Major depressive disorder (n=1,046). Clinical prediction rule was evaluated on Discrimination of the clinical prediction rule for major depressive disorder (c-statistic 0.80, 95% CI 0.76-0.83). A clinical prediction rule incorporating simple depression-related predictors achieved a c-statistic of 0.80 (95% CI 0.76-0.83) for detecting major depressive disorder in primary care patients.
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