Evidence map›Paper›PMID 40672472›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Tongue Swab Xpert MTB/RIF Ultra Testing for Tuberculosis Using a Revised Consensus Protocol: A multi-country diagnostic accuracy study.

Bukola Ajide, Caitlin A Moe, Jheannie Barrameda, Masuzyo Chirwa, Loren Rockman, Petra de Haas, Margaretha de Vos, Midori Kato-Maeda, Bianca Tasca, John Bimba and 8 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Bukola AjideZankli Research Center, Bingham University, Karu, Nigeria.
Caitlin A MoeDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Orange, USA.ORCID 0000-0002-9318-2514
Jheannie BarramedaDe la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines.ORCID 0009-0003-4744-7133
Masuzyo ChirwaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0001-6036-7320
Loren RockmanDSI-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 0000-0002-7882-2157
Petra de HaasKNCV Tuberculosis Foundation, the Hague, Netherlands.
Margaretha de VosDepartment of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Midori Kato-MaedaCenter for Tuberculosis, University of California San Francisco, San Francisco, USA.ORCID 0000-0003-0539-2472
Bianca TascaKNCV Tuberculosis Foundation, the Hague, Netherlands.ORCID 0000-0002-0737-8052
John BimbaZankli Research Center, Bingham University, Karu, Nigeria.
Charles YuDe la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines.
Claudia M DenkingerDepartment of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Kristin KremerKNCV Tuberculosis Foundation, the Hague, Netherlands.ORCID 0009-0004-1729-5463
Payam NahidCenter for Tuberculosis, University of California San Francisco, San Francisco, USA.ORCID 0000-0003-2811-1311
Adithya CattamanchiDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Orange, USA.ORCID 0000-0002-6553-2601
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
Monde MuyoyetaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0003-3609-5403
R2D2 TB Network

Funding

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
NIAID NIH HHS U01 AI152087
6 · The paper itself

Abstract

Background: Tongue swabs are a promising specimen for tuberculosis (TB) diagnosis. In a previous study using a consensus protocol, tongue swabs tested with Xpert MTB/RIF Ultra (Xpert Ultra, Cepheid, USA) outperformed sputum smear microscopy, but a substantial proportion (6.1%) of results were non-actionable (e.g., invalid/error). We evaluated a revised protocol in four high TB burden countries. Methods: Participants aged ≥12 years with presumptive TB were enrolled from outpatient clinics in the Philippines, South Africa, Nigeria, and Zambia. Tongue swabs were processed using Sample Reagent (SR, Cepheid, USA) diluted 2:1 with phosphate buffer or phosphate-buffered saline and tested with Xpert Ultra. Diagnostic performance was assessed against a culture-based microbiological reference standard and compared to sputum-based tests. Results: From March to November 2024, 1168 participants were enrolled (median age 37 [IQR 28-48] years; 46.7% female, 21.8% living with HIV, 18.5% culture-confirmed TB). The proportion of nonactionable results was 5.6% overall, but was less than 4% in all countries except South Africa (15.4%). Tongue swab sensitivity was 66.0% (95% CI 59.0-72.5); specificity was 99.6% (95% CI 98.9-99.9). Conclusion: The revised protocol yielded low error rates at most sites and moderate sensitivity, supporting tongue swabs as an alternative when sputum is unavailable.

Indexed as

DiagnosisDiagnostic accuracyTongue swabsTuberculosisXpert Ultra

Identifiers

PMID40672472
PMCPMC12265798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.