Diabetes and poor tuberculosis treatment outcomes: issues and implications in data interpretation and analysis
Author(s) -
Peijue Huangfu,
Fiona Pearson,
César UgarteGil,
Julia Critchley
Publication year - 2017
Publication title -
the international journal of tuberculosis and lung disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 110
eISSN - 1815-7920
pISSN - 1027-3719
DOI - 10.5588/ijtld.17.0211
Subject(s) - medicine , tuberculosis , confounding , intensive care medicine , medline , research design , diabetes mellitus , meta analysis , environmental health , pathology , social science , sociology , political science , law , endocrinology
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.
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