Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Magnitude and factors associated with post-tuberculosis lung disease in low- and middle-income countries: A systematic review and meta-analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Emerging evidence suggests that after completion of treatment for tuberculosis (TB) a significant proportion of patients experience sequelae. However, there is limited synthesized evidence on this from low-income countries, from Sub-Saharan Africa, and in HIV infected individuals. We seek to provide an updated comprehensive systematic review and meta-analysis on the magnitude and factors associated with post-TB lung disease (PTLD) in low- and middle-income countries (LMICs).

          Methods

          We searched PubMed, Embase and CINAHL for studies from LMICs with data on post-TB lung health in patients who had previously completed treatment for pulmonary TB. Data on study characteristics, prevalence of PTLD–specifically abnormal lung function (spirometry), persisting respiratory symptoms and radiologic abnormalities were abstracted. Statistical analysis was performed using Microsoft Excel and R version 4.1 software, and random effects meta-analysis conducted to compute pooled prevalence of PTLD, evaluate heterogeneity, and assess factors associated with PTLD.

          Results

          We identified 32 eligible studies with 6225 participants. Twenty-one studies were from Africa, 16 included HIV infected participants, spirometry was conducted in 20 studies, symptom assessment in 16 and chest imaging in eight. Pooled prevalence of abnormal lung function was 46.7%, persistent respiratory symptoms 41.0%, and radiologic abnormalities 64.6%. Magnitude of any type of PTLD varied by HIV status (HIV- 66.9%, HIV+ 32.8%, p = 0.0013), across geographic setting (SE Asia 57.5%, Southern America 50.8%, and Africa 38.2%, p = 0.0118), and across urban-rural settings (symptom prevalence: rural 68.8%, urban 39.1%, mixed settings 27.9%, p = 0.0035), but not by income settings, sex or age-group.

          Conclusions

          There is high burden of post-TB persistent respiratory symptoms, functional lung impairment and radiologic structural abnormalities in individuals living in LMICs. Burden varies across settings and by HIV status. This evidence may be valuable to advocate for and inform implementation of structured health care specific to the needs of this vulnerable population of individuals.

          Related collections

          Most cited references59

          • Record: found
          • Abstract: found
          • Article: not found

          How to perform a meta-analysis with R: a practical tutorial

          Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
            Bookmark
            • Record: found
            • Abstract: not found
            • Book: not found

            Doing Meta-Analysis with R : A Hands-On Guide

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Tuberculosis and lung damage: from epidemiology to pathophysiology

              A past history of pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognised, despite its relatively high prevalence and its association with reduced quality of life. Importantly, specific host and pathogen factors causing lung impairment remain unclear. Host immune responses probably play a dominant role in lung damage, as excessive inflammation and elevated expression of lung matrix-degrading proteases are common during TB. Variability in host genes that modulate these immune responses may determine the severity of lung impairment, but this hypothesis remains largely untested. In this review, we provide an overview of the epidemiological literature on post-TB lung impairment and link it to data on the pathogenesis of lung injury from the perspective of dysregulated immune responses and immunogenetics.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: Data curationRole: InvestigationRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Glob Public Health
                PLOS Glob Public Health
                plos
                PLOS Global Public Health
                Public Library of Science (San Francisco, CA USA )
                2767-3375
                20 December 2022
                2022
                : 2
                : 12
                : e0000805
                Affiliations
                [1 ] Department of Paediatrics & Child Health, University of Nairobi, Nairobi, Kenya
                [2 ] Neurosciences Unit, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
                [3 ] School of Medicine, University of Nairobi, Nairobi, Kenya
                [4 ] Clinical Trials Facility, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
                [5 ] Department of Medical Microbiology & Immunology, University of Nairobi, Nairobi, Kenya
                [6 ] Department of Paediatrics, University of Melbourne, Melbourne, Australia
                Federal University of Rio de Janeiro, BRAZIL
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-7871-3367
                https://orcid.org/0000-0002-0783-8207
                https://orcid.org/0000-0001-9821-9892
                https://orcid.org/0000-0001-7281-583X
                https://orcid.org/0000-0003-3525-2294
                Article
                PGPH-D-22-01006
                10.1371/journal.pgph.0000805
                10021795
                36962784
                080cfb00-e0ae-4671-861a-d6dd038a80c0
                © 2022 Maleche-Obimbo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 June 2022
                : 3 November 2022
                Page count
                Figures: 8, Tables: 5, Pages: 26
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Bacterial Diseases
                Tuberculosis
                Medicine and Health Sciences
                Medical Conditions
                Tropical Diseases
                Tuberculosis
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Respiratory Analysis
                Spirometry
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Medicine and health sciences
                Medical conditions
                Infectious diseases
                Viral diseases
                HIV infections
                Medicine and Health Sciences
                Pulmonology
                Pulmonary Function
                Biology and Life Sciences
                Physiology
                Respiratory Physiology
                Medicine and Health Sciences
                Radiology and Imaging
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Respiratory Infections
                Medicine and Health Sciences
                Medical Conditions
                Respiratory Disorders
                Respiratory Infections
                Medicine and Health Sciences
                Pulmonology
                Respiratory Disorders
                Respiratory Infections
                Custom metadata
                All data relating to this article has been submitted as part of the Supporting information.

                Comments

                Comment on this article