Diagnostic accuracy of the WHO tuberculosis treatment decision algorithms for children with presumptive tuberculosis: An individual participant data meta-analysis

Olbrich, L. orcid.org/0000-0001-8881-4102, Larsson, L. orcid.org/0000-0003-4869-4630, Dunbar, R. orcid.org/0000-0003-1852-5940 et al. (24 more authors) (2025) Diagnostic accuracy of the WHO tuberculosis treatment decision algorithms for children with presumptive tuberculosis: An individual participant data meta-analysis. PLoS Medicine, 22 (11). e1004610. ISSN: 1549-1277

Abstract

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Item Type: Article
Authors/Creators:
Editors:
  • MacPherson, P.
Copyright, Publisher and Additional Information:

© 2025 Olbrich et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords: Humans; World Health Organization; Algorithms; Child; Child, Preschool; Infant; Male; Retrospective Studies; Female; Antitubercular Agents; Tuberculosis, Pulmonary; HIV Infections; Clinical Decision-Making; Tuberculosis
Dates:
  • Accepted: 25 September 2025
  • Published (online): 18 November 2025
  • Published: 18 November 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Date Deposited: 26 Nov 2025 12:39
Last Modified: 26 Nov 2025 12:39
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: 10.1371/journal.pmed.1004610
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Open Archives Initiative ID (OAI ID):

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