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

Clin Infect Dis. 2017 Mar 15;64(6):719-727. doi: 10.1093/cid/ciw836.

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.

Keywords: diabetes mellitus; latent tuberculosis infection; metaanalysis; systemic review.

Publication types

  • Meta-Analysis
  • Review
  • Systematic Review

MeSH terms

  • Cohort Studies
  • Cross-Sectional Studies
  • Diabetes Complications / epidemiology*
  • Diabetes Mellitus / epidemiology*
  • Humans
  • Latent Tuberculosis / complications*
  • Latent Tuberculosis / epidemiology*
  • Odds Ratio
  • Publication Bias