Evidence map›Paper›PMID 41960335›Full record

ArticleResearch square2026

Accuracy and clinical utility of near-point-of-care blood tests for predicting incident tuberculosis in exposed contacts in high burden settings: a multi-country observational cohort study.

Shima M Abdulgader, Arthur M Chiwaya, Marc Banuls, Willy Ssengooba, Dinis Nguenha, James Sserubiri, Patricia Manjate, Catarina Bazima, Vinzeigh Leukes, Adam Penn-Nicholson and 5 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

15 authors.

Shima M AbdulgaderDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Arthur M ChiwayaDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Marc BanulsFundación Privada Instituto de Salud Global Barcelona (ISGlobal), Spain.ORCID 0000-0001-9455-0051
Willy SsengoobaMakerere University, Kampala, Uganda.
Dinis NguenhaCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Moçambique.
James SserubiriMakerere University, Kampala, Uganda.
Patricia ManjateCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Moçambique.
Catarina BazimaCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Moçambique.
Vinzeigh LeukesFIND, Geneva, Switzerland.
Adam Penn-NicholsonFIND, Geneva, Switzerland.
Achilles KatambaMakerere University, Kampala, Uganda.
Moses JolobaMakerere University, Kampala, Uganda.
Alberto L Garcia-BasteiroFundación Privada Instituto de Salud Global Barcelona (ISGlobal), Spain.ORCID 0000-0002-2038-5505
Grant TheronDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-9216-2415
Frank CobelensAmsterdam UMC, University of Amsterdam, Department of Global Health and Amsterdam Institute for Global Health Development, Netherlands.ORCID 0000-0002-4367-1133

Funding

The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Kara M Palamountain · 2018 to 2026
$24.0M
Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
HIV and Mycobacterial Disease in MaliD43TW010350 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI MAIGA, ALMOUSTAPHA ISSIAKA, MURPHY, ROBERT LEO · 2016 to 2025
$3.0M
Pre- and post-treatment lung microbiota, metabolome and immune signatures at the site of disease in patients with active pulmonary tuberculosisR01AI136894 · NIAID · STELLENBOSCH UNIVERSITY · PI THERON, GRANT DE VOS · 2019 to 2023
$678k
FIC NIH HHS D43 TW010350NIAID NIH HHS R01 AI136894NIAID NIH HHS U01 AI152087NIBIB NIH HHS U54 EB027049
6 · The paper itself

Abstract

Background: The scale-up of tuberculosis preventative treatment is a global health priority yet constrained by our inability to identify which exposed contacts should be prioritised. We evaluated the diagnostic accuracy and clinical utility of new and established tests, including the first deployable host mRNA assay, done near point-of-care to diagnose incident tuberculosis in contacts in Mozambique, South Africa, and Uganda. Methods: Contacts microbiologically-negative for tuberculosis or without symptoms were followed for 12 months. Xpert MTB-Host Response (Xpert MTB-HR), haemoglobin, and CRP was done by a minimally trained healthcare worker at M0 and M6 using finger-prick blood. Tuberculosis disease was identified at months 0, 6 and 12 by symptom- and chest X-ray-screening (microbiological testing if symptomatic or able to expectorate sputum or CXR-positive; CXR M12 only). Predictive accuracy and decision curve analyses were done, with microbiological confirmation serving as the primary reference standard. Results: Among 3,031 contacts, 66 incident cases occurred. At a 75% sensitivity threshold (the minimum WHO-recommended sensitivity), Xpert MTB-HR and haemoglobin had specificities of 55% (95% confidence interval 53-56) and 25% (24-26), respectively. CRP's highest sensitivity with non-zero specificity was 52% (38-65) at 71% (69-72) specificity. At 75% specificity (the minimum WHO-recommended specificity), sensitivities were 61% (48-74), 37% (25-51) and 41% (28-55), respectively. Xpert MTB-HR and CRP in parallel (either positive) had highest sensitivity [76% (62-87)] and specificity of 59% (58-61), and the best clinical benefit for a number-willing-to-treat of 20-50. Conclusion: No tests individually met WHO sensitivity and specificity criteria but Xpert MTB-HR came closest. This work resets expectations for host RNA tests. Multi-marker strategies, including personalised risk scores, should be pursued.

Indexed as

ContactsDiagnostic AccuracyPredictionTuberculosis

Identifiers

PMID41960335
PMCPMC13060521

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.