Evidence map›Paper›PMID 40530376›Full record

ArticleIJTLD open2025

Post-TB sequelae and care: a systematic review and synthesis of qualitative research.

C L Leung, D Jerene, J Meghji, M Drage, W Mbawala, S G Mpagama, C Pell, C Mulder

Abstract read
In one paragraph

Article in IJTLD open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. 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

8 authors.

C L LeungKNCV TB Foundation, The Hague, The Netherlands.
D JereneKNCV TB Foundation, The Hague, The Netherlands.
J MeghjiImperial College Healthcare NHS Trust, London, UK.
M DrageLHL International Tuberculosis Foundation, Oslo, Norway.
W MbawalaMwitikio wa Kudhibiti Kifua Kikuu na Ukimwi Tanzania (MKUTA), Tanzania.
S G MpagamaKibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania.
C PellKNCV TB Foundation, The Hague, The Netherlands.
C MulderKNCV TB Foundation, The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTB has long-term health and social sequelae. The experiences of TB survivors are not well understood and there is limited evidence around gaps in care. This article aims to provide a comprehensive overview of qualitative research on post-TB sequelae and care, to identify knowledge gaps and inform future research and interventions to support person-centred care.

methodsA systematic search strategy, using two search strings incorporating post-TB and TB-related chronic respiratory disease. Searches were conducted on PubMed, Web of Science and CINAHL. Sources were screened systematically, data extracted independently and analyzed thematically.

resultsSixty-six sources were identified. After applying exclusion/inclusion criteria, 16 articles were included in a qualitative synthesis. Key themes included the physical, psychological, economic and social impacts of TB. These included threats to TB survivors' social role. People who suffer from long-term sequelae are stigmatised. Access to care is limited and tends to focus on acute respiratory disease. Policymakers indicate that the lack of data regarding the long-term impacts of TB contributed to insufficient resources being allocated.

conclusionThis systematic review underscores the post-TB physical and psychological impacts and the complexity of post-TB sequelae; it emphasizes the urgent need for evidence regarding the long-term impact of TB sequelae to improve care.

Indexed as

post-tuberculosis lung diseasePTLDpulmonary rehabilitationtuberculosis

Identifiers

PMID40530376
PMCPMC12168734

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.