2016
DOI: 10.1016/j.athoracsur.2016.01.013
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Diabetes Mellitus and Risk of Bronchopleural Fistula After Pulmonary Resections: A Meta-Analysis

Abstract: We conducted this meta-analysis to evaluate the association between diabetes mellitus and the risk of bronchopleural fistula in patients undergoing pulmonary resection. The PubMed and EMBASE databases were searched, and 15 retrospective observational studies were included. The pooled analysis showed that diabetes mellitus was significantly associated with the formation of bronchopleural fistula after pulmonary resection (odds ratio = 1.97; 95% confidence interval = 1.39 to 2.80; p < 0.001). This association re… Show more

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Cited by 50 publications
(36 citation statements)
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“…This relationship of diabetes mellitus and worse outcomes after pulmonary resection has been previously described. Diabetes mellitus is a presumed independent risk factor for bronchopleural fistula after pulmonary resections, with an odds ratio (OR) of 2 (37).…”
Section: Discussionmentioning
confidence: 99%
“…This relationship of diabetes mellitus and worse outcomes after pulmonary resection has been previously described. Diabetes mellitus is a presumed independent risk factor for bronchopleural fistula after pulmonary resections, with an odds ratio (OR) of 2 (37).…”
Section: Discussionmentioning
confidence: 99%
“…It is generally proposed that multivariate analysis using Cox proportional hazards model or logistic regression is usually adopted to eliminate the potential bias risks from other confounding factors in observational studies [25–27, 29]. In this meta-analysis, no multivariate OR statistic was reported to assess the relationship between mTOR/p-mTOR expression and clinicopathological features of ESCC.…”
Section: Discussionmentioning
confidence: 99%
“…Fourth, it has been generally recognized that studies reporting beneficial intervention effects or a larger effect size are more likely to be published, while an equal amount of data towards the other directions may remain unpublished [29]. This phenomenon suggests that we cannot avoid the potential publication bias between studies included into a meta-analysis.…”
Section: Discussionmentioning
confidence: 99%
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