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. 2022 Aug 25;12(8):e062260.
doi: 10.1136/bmjopen-2022-062260.

Burden, clinical features and outcomes of post-tuberculosis lung disease in sub-Saharan Africa: a protocol for a systematic review and meta-analysis

Affiliations

Burden, clinical features and outcomes of post-tuberculosis lung disease in sub-Saharan Africa: a protocol for a systematic review and meta-analysis

Edwin Nuwagira et al. BMJ Open. .

Abstract

Introduction: Tuberculosis (TB) is significantly associated with multiple postinfectious, non-communicable diseases after microbiological cure. For example, those with a history of TB disease have a higher risk of developing chronic lung diseases at a younger age. However, the extent and nature of post-TB complications are not well described. Here, we present a protocol for a systematic review and meta-analysis, which aims to synthesise literature on the burden of post-TB lung disease (PTLD) in sub-Saharan Africa, describe phenotypes, long-term outcomes and the health-related quality of life of people with PTLD.

Methods and analysis: A systematic search will be conducted using PubMed, EMBASE, Web of Science, African Journals Online and the Cochrane Library of Systematic Reviews. Papers published in English and French languages that report the prevalence, clinical features, quality of life and long-term outcomes of people with PTLD in sub-Saharan Africa will be considered. We will assess and critically appraise the methodological quality of all studies using the modified covidence. Qualitative and quantitative (network and meta-analysis) synthesis will be performed and STATA V.16 will be used to estimate the burden of PTLD.

Ethics and dissemination: Ethical approval is not required for this systematic review and meta-analysis. Our results will be published in peer-reviewed journals.

Prospero registration number: CRD42021274018.

Keywords: public health; thoracic medicine; tuberculosis.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Showing how studies will be generated, assessed and selected for use in the systematic review and meta-analysis.

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