Depression and cardiovascular disease events among patients with type 2 diabetes: A systematic review and meta-analysis with bias analysis.
AIMS
To provide updated systematic and quantitative summary of the association between depression and the risk of CVD events among individuals with type 2 diabetes. We also aimed to examine the sensitivity of the association to uncontrolled confounding.


METHODS
Data sources included Medline, Embase, and PsycInfo through September 2019. Two independent reviewers selected cohort studies that evaluated the association between depression and fatal or non-fatal CVD events among individuals with type 2 diabetes. Bias analysis was performed using the bias formula approach.


RESULTS
Of 2527 citations screened, 17 eligible studies with a total of 1,033,131 participants were identified. Based on random-effects meta-analysis, depression was associated with higher risks of non-fatal CVD events (relative risk 1.35, 95% confidence interval [CI] 1.20 to 1.53) and fatal CVD event (relative risk 1.47, 95% CI 1.21 to 1.77). Bias analysis indicated that unmeasured confounders alone may not explain the observed association between depression and CVD events among individuals with type 2 diabetes.


CONCLUSIONS
Depression was associated with a higher risk of non-fatal and fatal CVD events among individuals with type 2 diabetes. Our findings provide updated and robust evidence about the association between depression and CVD events among individuals with type 2 diabetes.
['Inoue|Kosuke|K|', 'Beekley|James|J|', 'Goto|Atsushi|A|', 'Jeon|Christie Y|CY|', 'Ritz|Beate R|BR|']
D002318:Cardiovascular Diseases D003863:Depression D003924:Diabetes Mellitus, Type 2 D006801:Humans
Depression Cardiovascular disease events Type 2 diabetes Meta-analysis Bias analysis