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Diabetes and poor tuberculosis treatment outcomes: Issues and implications in data interpretation and analysis

  • St George's University of London
  • Universidad Peruana Cayetano Heredia, Facultad de Medicina Alberto Hurtado
  • London School of Hygiene and Tropical Medicine

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

Tuberculosis (TB) remains one of the 10 leading causes of death worldwide, especially in low- and middle-income countries. We conducted a systematic review and meta-analysis including 88 studies examining the association between diabetes mellitus (DM) and TB treatment outcomes. However, we found several common methodological problems among them, including inappropriate adjustments for confounding factors, not using optimal statistical methods for 'time to event' data, misclassification in exposure (DM) and outcomes (TB treatment outcomes) due to study design and non-standardisation of definitions, misunderstanding of basic study design concept, standardisation of TB treatment outcomes and quality control of publications. Many of these problems would apply more broadly to other 'risk factors' for poor TB treatment outcomes. These issues need to be addressed and resolved to improve the quality of the studies and provide more accurate results for policy makers in the future to tackle the burden of TB.

Original languageEnglish
Pages (from-to)1214-1219
Number of pages6
JournalInternational Journal of Tuberculosis and Lung Disease
Volume21
Issue number12
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Confounding
  • DM
  • Data analysis
  • Risk factors
  • TB

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