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

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 tes...

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Autores principales: Lee, Meng-Rui, Huang, Ya-Ping, Kuo, Yu-Ting, Luo, Chen-Hao, Shih, Yun-Ju, Shu, Chin-Chung, Wang, Jann-Yuan, Ko, Jen-Chung, Yu, Chong-Jen, Lin, Hsien-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399944/
https://www.ncbi.nlm.nih.gov/pubmed/27986673
http://dx.doi.org/10.1093/cid/ciw836
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author Lee, Meng-Rui
Huang, Ya-Ping
Kuo, Yu-Ting
Luo, Chen-Hao
Shih, Yun-Ju
Shu, Chin-Chung
Wang, Jann-Yuan
Ko, Jen-Chung
Yu, Chong-Jen
Lin, Hsien-Ho
author_facet Lee, Meng-Rui
Huang, Ya-Ping
Kuo, Yu-Ting
Luo, Chen-Hao
Shih, Yun-Ju
Shu, Chin-Chung
Wang, Jann-Yuan
Ko, Jen-Chung
Yu, Chong-Jen
Lin, Hsien-Ho
author_sort Lee, Meng-Rui
collection PubMed
description 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 (I(2), 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.
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spelling pubmed-53999442017-04-28 Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis Lee, Meng-Rui Huang, Ya-Ping Kuo, Yu-Ting Luo, Chen-Hao Shih, Yun-Ju Shu, Chin-Chung Wang, Jann-Yuan Ko, Jen-Chung Yu, Chong-Jen Lin, Hsien-Ho Clin Infect Dis Major Article 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 (I(2), 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. Oxford University Press 2017-03-15 2016-12-15 /pmc/articles/PMC5399944/ /pubmed/27986673 http://dx.doi.org/10.1093/cid/ciw836 Text en © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Article
Lee, Meng-Rui
Huang, Ya-Ping
Kuo, Yu-Ting
Luo, Chen-Hao
Shih, Yun-Ju
Shu, Chin-Chung
Wang, Jann-Yuan
Ko, Jen-Chung
Yu, Chong-Jen
Lin, Hsien-Ho
Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title_full Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title_fullStr Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title_full_unstemmed Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title_short Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis
title_sort diabetes mellitus and latent tuberculosis infection: a systemic review and metaanalysis
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399944/
https://www.ncbi.nlm.nih.gov/pubmed/27986673
http://dx.doi.org/10.1093/cid/ciw836
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