Evidence map›Paper›PMID 42054680›Full record

Trial reportThe New England journal of medicine2026

Pulmonary Tuberculosis Detection with MiniDock MTB Using Swab Samples.

Seda Yerlikaya, Masuzyo Chirwa, Bukola Ajide, Maria Del Mar Castro, Huy Ha, Midori Kato-Maeda, Esther Kisakye, Danaida Marcelo, Tessa Mochizuki, Loren Rockman and 15 more

2 registry-linked trialsAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in The New England journal of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04923958 narecruitingnot on this map

Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) Study

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2031Enrolled26,436ConditionsTuberculosisArmsNovel mycobacterial culture techniques, Novel sputum smear microscopy techniques, Sputum-based molecular assays, Tongue swab-based molecular assays, Urine LAM assays
NCT05941052 narecruitingnot on this map

Supporting, Mobilizing and Accelerating Research for Tuberculosis Elimination (SMART4TB)- Technical Area (TA) 1: Diagnostics- Assessing Diagnostics At Point-of-care for Tuberculosis (ADAPT)

TypeinterventionalSponsorUniversity of California, San FranciscoRan2023 to 2028Enrolled1,350ConditionsTuberculosisArmsTongue swab-based molecular assays
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Seda YerlikayaHeidelberg University Medical Faculty, Department of Infectious Diseases and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-6064-548X
Masuzyo ChirwaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Bukola AjideZankli Research Centre, Bingham University Karu, Abuja, Nigeria.
Maria Del Mar CastroHeidelberg University Medical Faculty, Department of Infectious Diseases and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Huy HaHanoi Lung Hospital, Center for Promotion of Advancement of Society, Hanoi.
Midori Kato-MaedaDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco (UCSF), San Francisco.
Esther KisakyeWorld Alliance for Lung and Intensive Care Medicine in Uganda, Kampala.
Danaida MarceloDe La Salle Medical and Health Sciences Institute, Dasmariñas City, Cavite, Philippines.
Tessa MochizukiDivision of Pulmonary and Critical Care Medicine, University of California, San Francisco (UCSF), San Francisco.
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, Stellenbosch, South Africa.
Amy SteadmanGlobal Health Labs, Bellevue, WA.
Balamugesh ThangakunamDepartment of Pulmonary Medicine, Christian Medical College, Vellore, India.
John Samson BimbaZankli Research Centre, Bingham University Karu, Abuja, Nigeria.
Devasahayam J ChristopherDepartment of Pulmonary Medicine, Christian Medical College, Vellore, India.
Monde MuyoyetaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Ha PhanHanoi Lung Hospital, Center for Promotion of Advancement of Society, Hanoi.
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, Stellenbosch, South Africa.
Charles YuWorld Alliance for Lung and Intensive Care Medicine in Uganda, Kampala.
Kristin KremerDivision of TB Elimination and Health Systems Innovations, KNCV Tuberculosis Foundation, the Hague, the Netherlands.
Patrick P J PhillipsUCSF Center for Tuberculosis, Institute for Global Health Sciences, San Francisco.
Payam NahidUCSF Center for Tuberculosis, Institute for Global Health Sciences, San Francisco.ORCID 0000-0003-2811-1311
Claudia M DenkingerHeidelberg University Medical Faculty, Department of Infectious Diseases and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
Adithya CattamanchiUCSF Center for Tuberculosis, Institute for Global Health Sciences, San Francisco.ORCID 0000-0002-6553-2601
Alfred AndamaWorld Alliance for Lung and Intensive Care Medicine in Uganda, Kampala.
R2D2 TB Network and SMART4TB Consortia

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
Rapid Research for Diagnostics Development in TB Network: Episode 2 (R2D2 TB Network II)R01AI190419 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Adithya Cattamanchi, Claudia Maria Denkinger · 2025 to 2026
$10.1M
Gates Foundation INV-080721NIAID NIH HHS R01 AI190419NIH HHS U01AI152087United States Agency for International Development 7200AA20CA00005
6 · The paper itself

Abstract

backgroundImproved diagnostic tools for tuberculosis that are suitable for use in peripheral health centers are essential for reducing the persistent gap between estimated and notified cases. The diagnostic accuracy and usability of the MiniDock MTB test for detecting pulmonary tuberculosis is unknown.

methodsWe conducted a prospective, cross-sectional study at outpatient centers in India, Nigeria, the Philippines, South Africa, Uganda, Vietnam, and Zambia. Patients 12 years of age or older with presumptive pulmonary tuberculosis were enrolled between September 12, 2024, and March 31, 2025. Assessment with MiniDock MTB was performed with sputum swabs and tongue swabs. Diagnostic accuracy was evaluated against a sputum-culture-based reference and as compared with sputum-smear microscopy and Xpert MTB/RIF Ultra assay. Usability was assessed with a system usability scale and direct observation.

resultsA total of 1380 participants were enrolled; 255 (18.5%) had human immunodeficiency virus infection and 226 (16.4%) had culture-confirmed tuberculosis. MiniDock MTB sensitivity was 85.7% (95% confidence interval [CI], 80.4 to 90.0) with sputum and 79.6% (95% CI, 73.8 to 84.7) with tongue swabs; specificity was greater than 97.5% for both. Results of sputum tests with MiniDock MTB closely matched those with Xpert MTB/RIF Ultra for sensitivity (difference, -2.8 percentage points; 95% CI, -6.0 to 0.5). MiniDock MTB had greater sensitivity than smear microscopy for tests of sputum (difference, 24.3 percentage points; 95% CI, 17.9 to 30.7) and tongue swabs (difference, 18.3 percentage points; 95% CI, 12.0 to 24.7). The test showed diagnostic accuracy that was consistent with World Health Organization (WHO) accuracy targets for near-point-of-care tuberculosis diagnostics (≥85% sensitivity for sputum and ≥75% for nonsputum and ≥98% specificity for both). The median score on the system usability scale (range, 0 to 100, with higher scores indicating better perceived usability) was 75 (interquartile range, 65 to 80), which indicated good usability. No adverse events related to the index test were reported.

conclusionsMiniDock MTB met WHO targets for diagnostic accuracy and usability for tuberculosis detection across diverse clinical settings. (Funded by the National Institutes of Health and others; Rapid Research in Diagnostics Development for TB Network and Assessing Diagnostics at Point-of-Care for Tuberculosis ClinicalTrials.gov numbers, NCT04923958 and NCT05941052.).

Indexed as

Mycobacterium tuberculosisPoint-of-Care TestingReagent Kits, DiagnosticSputumTuberculosis, PulmonaryAdolescentAdultAgedChildCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedProspective StudiesReagent Kits, Diagnostic

Identifiers

PMID42054680
PMCPMC13132025

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Registered trials

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.