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  4. Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
 
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Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis

Journal
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Journal Volume
64
Journal Issue
6
Pages
719-727
Date Issued
2017
Author(s)
MENG-RUI LEE  
YA-PING HUANG  
Kuo, Yu-Ting
Luo, Chen-Hao
Shih, Yun-Ju
CHIN-CHUNG SHU  
JANN-YUAN WANG  
JEN-CHANG KO  
CHONG-JEN YU  
HSIEN-HO LIN  
DOI
10.1093/cid/ciw836
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031763276&doi=10.1093%2fcid%2fciw836&partnerID=40&md5=0f4ba2e3c9638c74db4231f36c4de3f3
https://scholars.lib.ntu.edu.tw/handle/123456789/512432
Abstract
Background: Despite the well-documented association between diabetes and active tuberculosis, evidence of the association between diabetes and latent tuberculosis infection (LTBI) remains limited and inconsistent.Methods: We included observational studies that applied either the tuberculin skin test or the interferon gamma release assay for diagnosis of LTBI and that provided adjusted effect estimate for the association between diabetes and LTBI. We searched PubMed and EMBASE through 31 January 2016. The risk of bias of included studies was assessed using a quality assessment tool modified from the Newcastle-Ottawa scale.Results: Thirteen studies (1 cohort study and 12 cross-sectional studies) were included, involving 38263 participants. The cohort study revealed an increased but nonsignificant risk of LTBI among diabetics (risk ratio, 4.40; 95% confidence interval [CI], 0.50-38.55). For the cross-sectional studies, the pooled odds ratio from the random-effects model was 1.18 (95% CI, 1.06-1.30), with a small statistical heterogeneity across studies (I2, 3.5%). The risk of bias assessment revealed several methodological issues, but the overall direction of biases would reduce the positive causal association between diabetes and LTBI.Conclusions: Diabetes was associated with a small but statistically significant risk for LTBI. Findings from this review could be used to inform future cost-effectiveness analysis on the impact of LTBI screening programs among diabetics.
SDGs

[SDGs]SDG3

Other Subjects
cohort analysis; complication; cross-sectional study; diabetes mellitus; diabetic complication; human; latent tuberculosis; meta analysis; odds ratio; publishing; Cohort Studies; Cross-Sectional Studies; Diabetes Complications; Diabetes Mellitus; Humans; Latent Tuberculosis; Odds Ratio; Publication Bias
Type
journal article

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