Evidence map›Paper›PMID 39509711›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Diagnostic Accuracy of Tuberculosis Screening Tests in a Prospective Multinational Cohort: Chest Radiography With Computer-Aided Detection, Xpert Tuberculosis Host Response, and C-Reactive Protein.

Rebecca Crowder, Balamugesh Thangakunam, Alfred Andama, Devasahayam J Christopher, Victoria Dalay, Welile Nwamba, Sandra V Kik, Dong Van Nguyen, Nguyen Viet Nhung, Patrick P J Phillips and 9 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04923958 (Rapid Research in Diagnostics Development for TB Network), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Rebecca CrowderCenter for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0001-6374-3088
Balamugesh ThangakunamDepartment of Pulmonary Medicine, Christian Medical College, Vellore, India.ORCID 0000-0001-6799-065X
Alfred AndamaDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0003-0526-0007
Devasahayam J ChristopherDepartment of Pulmonary Medicine, Christian Medical College, Vellore, India.ORCID 0000-0002-9405-8494
Victoria DalayDepartment of Microbiology and Parasitology, College of Medicine, De la Salle Medical and Health Sciences Institute, Dasmariñas, Philippines.ORCID 0009-0001-7410-4772
Welile NwambaDSI-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 0000-0003-4231-1467
Sandra V KikTB Programme, FIND, Geneva, Switzerland.ORCID 0000-0002-0662-4899
Dong Van NguyenNetwork Management Department, Ha Noi Lung Hospital, Ha Noi, Vietnam.ORCID 0009-0005-5915-8827
Nguyen Viet NhungVNU University of Medicine and Pharmacy, National Lung Hospital, Ha Noi, Vietnam.ORCID 0000-0002-5447-133X
Patrick P J PhillipsCenter for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California, USA.
Morten RuhwaldTB Programme, FIND, Geneva, Switzerland.ORCID 0000-0002-1597-441X
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
William WorodriaDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0002-8531-5567
Charles YuDepartment of Internal Medicine, College of Medicine, De La Salle Medical and Health Sciences Institute, Dasmariñas, Philippines.
Payam NahidCenter for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-2811-1311
Adithya CattamanchiDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, California, USA.ORCID 0000-0002-6553-2601
Ankur Gupta-WrightDepartment of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, German Center for Infection Research (partner site), Heidelberg, Germany.ORCID 0000-0002-5150-2970
Claudia M DenkingerDepartment of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, German Center for Infection Research (partner site), Heidelberg, Germany.ORCID 0000-0002-7216-7067
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
Foundation for Innovative New DiagnosticsNational Institute of Allergy and Infectious DiseasesNIAID NIH HHS U01 AI152087NIH
6 · The paper itself

Abstract

backgroundAccessible, accurate screening tests are necessary to advance tuberculosis case finding and early detection in high-burden countries.

methodsWe prospectively screened adults with ≥2 weeks of cough at primary health centers in the Philippines, Vietnam, South Africa, Uganda, and India. Participants underwent chest radiography, Cepheid Xpert TB Host Response (Xpert HR) testing, and point-of-care C-reactive protein (CRP) testing (Boditech). Chest radiographs were processed using CAD4TB v7, a computer-aided detection (CAD) algorithm. We assessed diagnostic accuracy against a microbiologic reference standard (sputum Xpert Ultra, culture). Optimal cutoff points were chosen to maximize specificity at 90% sensitivity. Two-test screening algorithms were considered, using (1) sequential negative serial screening (with positive defined as positive on either test) and (2) sequential positive serial screening (with positive defined as positive on both tests).

resultsBetween July 2021 and August 2022, a total of 1392 participants with presumptive tuberculosis had valid index tests and reference standard results, and 303 (22%) had confirmed tuberculosis. In head-to-head comparisons, CAD4TB v7 showed the highest specificity at 90% sensitivity (70.3% vs 65.1% for Xpert HR [95% confidence interval for absolute difference in specificity, 1.6%-8.9%] and vs 49.7% for CRP [17.0%-24.3%]). Three 2-test screening algorithms met World Health Organization target product profile minimum accuracy thresholds and had higher accuracy than any test alone. At 90% sensitivity, the specificity was 79.6% for Xpert HR-CAD4TB (sequential negative), 75.9% for CRP-CAD4TB (sequential negative), and 73.7% for Xpert HR-CAD4TB (sequential positive).

conclusionsCAD4TB achieves target product profile targets and outperforms Xpert HR and CRP. Combining screening tests further increased accuracy. Clinical Trials Registration. NCT04923958.

Indexed as

C-Reactive ProteinDiagnosis, Computer-AssistedMass ScreeningRadiography, ThoracicTuberculosisTuberculosis, PulmonaryAdultAgedAlgorithmsFemaleHumansIndiaMaleMiddle AgedMycobacterium tuberculosisPhilippinesC-Reactive ProteindiagnosticsscreeningtriageTuberculosis

Identifiers

PMID39509711
PMCPMC13016676

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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.