Evidence map›Paper›PMID 38285713›Full record

ArticlePLOS global public health2024

Screening for post-TB lung disease at TB treatment completion: Are symptoms sufficient?

Jamilah Meghji, Vester Gunsaru, Beatrice Chinoko, Elizabeth Joekes, Ndaziona P K Banda, Nicola Marozva, Jamie Rylance, Stephen B Squire, Kevin Mortimer, Maia Lesosky

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Sequelae of Immunocompromised Host Pneumonia.Clinics in chest medicine · 2025
    Review
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Jamilah MeghjiNational Heart & Lung Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4693-8884
Vester GunsaruMalawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Beatrice ChinokoMalawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Elizabeth JoekesDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Ndaziona P K BandaDepartment of Medicine, Kamuzu University of Health Sciences and Queen Elizabeth Central Hospital, Blantyre, Malawi.
Nicola MarozvaDivision of Epidemiology & Biostatistics, University of Cape Town, Cape Town, South Africa.
Jamie RylanceMalawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Stephen B SquireDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Kevin MortimerDepartment of Respiratory Medicine, Liverpool University Hospitals National Health Service Foundation Trust, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-8118-8871
Maia LesoskyNational Heart & Lung Institute, Imperial College London, London, United Kingdom.
University of Liverpool · GBImperial College London · GBLiverpool School of Tropical Medicine · GBNational Health Service · GBQueen Elizabeth Central Hospital · MWUniversity of Cape Town · ZA

Funding

Wellcome Trust
6 · The paper itself

Abstract

Pulmonary TB survivors face a high burden of post-TB lung disease (PTLD) after TB treatment completion. In this secondary data analysis we investigate the performance of parameters measured at TB treatment completion in predicting morbidity over the subsequent year, to inform programmatic approaches to PTLD screening in low-resource settings. Cohort data from urban Blantyre, Malawi were used to construct regression models for five morbidity outcomes (chronic respiratory symptoms or functional limitation, ongoing health seeking, spirometry decline, self-reported financial impact of TB disease, and death) in the year after PTB treatment, using three modelling approaches: logistic regression; penalised regression with pre-selected predictors; elastic net penalised regression using the full parent dataset. Predictors included demographic, clinical, symptom, spirometry and chest x-ray variables. The predictive performance of models were examined using the area under the receiver-operator curve (ROC AUC) values. Key predictors were identified, and their positive and negative predictive values (NPV) determined. The presence of respiratory symptoms at TB treatment completion was the strongest predictor of morbidity outcomes. TB survivors reporting breathlessness had higher odds of spirometry decline (aOR 20.5, 95%CI:3-199.1), health seeking (aOR 10.2, 2.4-50), and symptoms or functional limitation at 1-year (aOR 16.7, 3.3-133.4). Those reporting activity limitation were more likely to report symptoms or functional limitation at 1-year (aOR 4.2, 1.8-10.3), or severe financial impact of TB disease (aOR2.3, 1.0-5.0). Models were not significantly improved by including spirometry or imaging parameters. ROC AUCs were between 0.65-0.77 for the morbidity outcomes. Activity limitation at treatment completion had a NPV value of 78-98% for adverse outcomes. Our data suggest that whilst challenging to predict the development of post-TB morbidity, the use of symptom screening tools at TB treatment completion to prioritise post-TB care should be explored. We identified little benefit from the additional use of spirometry or CXR imaging.

Identifiers

PMID38285713
PMCPMC10824425
OpenAlexW4391308701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.