Evidence map›Paper›PMID 42194373›Full record

ArticleHealthcare (Basel, Switzerland)2026

Routine Molecular Surveillance of Drug-Resistant Tuberculosis: Translating Mutation Proxies into Clinical Governance Intelligence in Rural Eastern Cape.

Bulela Sonka, Mojisola Clara Hosu, Ntandazo Dlatu, Thokoe Vincent Makola, Lindiwe Modest Faye

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bulela SonkaWalter Sisulu Tuberculosis Research Group, Faculty of Medicine and Health Sciences, School of Pathology, Walter Sisulu University, Mthatha 5100, South Africa.
Mojisola Clara HosuWalter Sisulu Tuberculosis Research Group, Faculty of Medicine and Health Sciences, School of Pathology, Walter Sisulu University, Mthatha 5100, South Africa.ORCID 0000-0002-0388-787X
Ntandazo DlatuWalter Sisulu Institute for Clinical Governance and Healthcare Administration, Faculty of Medicine and Health Sciences, School of Public Health, Walter Sisulu University, Mthatha 5100, South Africa.
Thokoe Vincent MakolaWalter Sisulu Institute for Clinical Governance and Healthcare Administration, Faculty of Medicine and Health Sciences, School of Public Health, Walter Sisulu University, Mthatha 5100, South Africa.ORCID 0009-0006-0918-7539
Lindiwe Modest FayeWalter Sisulu Tuberculosis Research Group, Faculty of Medicine and Health Sciences, School of Pathology, Walter Sisulu University, Mthatha 5100, South Africa.ORCID 0000-0002-7308-4239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-resistant tuberculosis (TB) remains a major challenge in high-burden settings, where timely identification of emerging resistance and effective governance responses are critical. While routine molecular diagnostics generate large volumes of resistance-associated mutation data, these outputs are typically used for individual patient management and remain underutilized for population-level surveillance and for the application of clinical governance approaches for improved TB care.

methodsWe conducted a retrospective cross-sectional analysis of 1386 molecular diagnostic records for

resultsAt least one resistance-associated mutation proxy was detected in 72.7% of the analyzed records. Isoniazid resistance predominated, with

conclusionsRoutine molecular diagnostic data revealed a substantial and heterogeneous burden of drug-resistant

Indexed as

clinical governancedrug-resistant tuberculosisfluoroquinolone resistanceisoniazid resistancemolecular diagnosticsmutation proxiessurveillance

Identifiers

PMID42194373
PMCPMC13206108

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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.