Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Refining research outcomes

Lessons from the setup of an endpoint review committee and radiological review in tuberculosis observational diagnostic studies

Bibliographic Data

ID19591106
AuthorsLeyla Sophie Larsson (0000-0003-4869-4630, London School of Hygiene & Tropical Medicine), Claire Jacqueline Calderwood (0000-0002-1926-7464), Edson T Marambire, E Marambire (Biomedical Research and Training Institute), Denise Banze (0000-0001-5731-9440, Instituto Nacional de Saúde), Alfred Mfinanga (0009-0003-2235-554X, National Institute for Medical Research), Etienne Leroy-Terquem, Joseph Jacob (0000-0002-8054-2293), Daisuke Yamada (0000-0003-1561-5908, Systems, Applications & Products in Data Processing (United Kingdom)), Francisco Trinchan Fernandez (Mpilo Central Hospital), Patrick Lungu (0000-0002-6349-1885, East, Central and Southern Africa Health Community), Anita Mesic (0000-0002-7541-6380, Médecins Sans Frontières), Ivan Noreña (0000-0001-5092-2589, Ludwig-Maximilians-Universität München), Kathrin Held (0000-0001-7057-6935, Fraunhofer Institute for Translational Medicine and Pharmacology), Rishi K Gupta (0000-0002-6257-1285, University College London), Lilian Tina Minja (0000-0002-9597-0207, National Institute for Medical Research), Celso Khosa (0000-0001-6701-4202, Eduardo Mondlane University), Norbert Heinrich (0000-0001-9252-7106, German Center for Infection Research), Katharina Kranzer (0000-0001-5691-7270, London School of Hygiene & Tropical Medicine)
EditorsAnete Trajman (0000-0002-4000-4984)
Year2026
Volume6
Issue4
Pagese0006335
Publication date2026-04-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0006335
PMID42060671
OpenAlexW7159619960
LanguageEN
References cited17

Most tuberculosis diagnostic validation studies use microbiological or combination reference standards to define tuberculosis. We convened an Endpoint Review Committee (ERC) to define outcomes in ERASE-TB, a longitudinal cohort study across three high tuberculosis-burden countries, aimed at validating novel diagnostics for early detection. Herein, we describe processes and outcomes of the ERC. ERASE-TB enrolled 2,109 household contacts of people with tuberculosis who were followed up 6-monthly up to 24 months with clinical, microbiological, and radiological assessments at each visit. Any participants with a chest X-ray suggestive of tuberculosis or a positive Xpert MTB/Rif Ultra were investigated and eligible for endpoint review. For these, the clinical presentation, radiological, and microbiological results were reviewed independently by two study clinicians; any discordant endpoint categorisations were assessed by the ERC (first individually; if discordant, during a consensus meeting). Tuberculosis outcomes relied on predefined definitions (confirmed, likely, possible, unlikely). The ERC comprised four members: a tuberculosis programme manager, clinicians, and a radiologist. Semi-structured interviews (n = 4) with ERC members explored experiences and challenges in tuberculosis classification. A total of 96 clinical summaries underwent review, 55 were agreed internally, with the majority being categorised as confirmed tuberculosis (34/55, 61.8%). Among the remaining 41, the ERC members agreed on only 14 (34.1%) classifications, with the majority being classified as confirmed tuberculosis (10/14, 71.4%). The discordant 27 were discussed at the consensus meeting; 9/27 were classified as likely tuberculosis (33.3%), and 7/27 as possible and unlikely (25.9%). Qualitative interviews highlighted the complexity of tuberculosis diagnosis, value of longitudinal measurements, and tensions between decision making for research as compared to clinical purposes. Standardized tuberculosis classification frameworks, longitudinal data, and real-time expert review can improve diagnostic accuracy and comparability across studies. Future research should integrate structured ERC processes prospectively to refine tuberculosis case definitions and ensure robust clinical and research outcomes

Clinical endpoint · Cohort · Cohort study · Observational study · Pulmonary tuberculosis · Radiological weapon · Tuberculosis · Tuberculosis diagnosis · Clinical Reasoning and Diagnostic Skills · Meta-analysis and systematic reviews · Tuberculosis Research and Epidemiology

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae