Evidence map›Paper›PMID 41252347›Full record

SynthesisPLoS medicine2025

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

Laura Olbrich, Leyla Larsson, Rory Dunbar, Peter J Dodd, Megan Palmer, Minh Huyen Ton Nu Nguyet, Marc d'Elbée, Anneke C Hesseling, Norbert Heinrich, Heather J Zar and 18 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Laura OlbrichInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-8881-4102
Leyla LarssonInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-4869-4630
Rory DunbarDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1852-5940
Peter J DoddSheffield Centre for Health and Related Research, School of Medicine and Population Health, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0001-5825-9347
Megan PalmerDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2534-2483
Minh Huyen Ton Nu NguyetBordeaux Population Health, Inserm U1219, IRD EMR271, University of Bordeaux, Bordeaux, France.
Marc d'ElbéeBordeaux Population Health, Inserm U1219, IRD EMR271, University of Bordeaux, Bordeaux, France.
Anneke C HesselingDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Norbert HeinrichInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-9252-7106
Heather J ZarDepartment of Paediatrics & Child Health, Red Cross War Memorial Children's Hospital, MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa.
Nyanda E NtinginyaNIMR - Mbeya Medical Research Centre, Mbeya, Tanzania.
Celso KhosaInstituto Nacional de Saúde (INS), Maputo, Mozambique.ORCID https://orcid.org/0000-0001-6701-4202
Marriott NliwasaKamuzu University of Health Sciences, Blantyre, Malawi.
Valsan P VerghesePediatric Infectious Diseases, Christian Medical College, Vellore, India.ORCID https://orcid.org/0000-0001-6507-7795
Maryline BonnetTransVIHMI, University of Montpellier, Institut de Recherche pour le Développement (IRD), Institut National de la Santé et Recherche Médicale (INSERM), Montpellier, France.ORCID https://orcid.org/0000-0002-1071-7393
Eric WobudeyaMU-JHU Care Ltd, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9574-5539
Bwendo NdunaArthur Davidson Children's Hospital, Ndola, Zambia.
Raoul MohProgramme PAC-CI, Abidjan, Côte d'Ivoire.
Juliet Mwanga-AmumpereEpicentre Mbarara Research Centre, Mbarara, Uganda.ORCID https://orcid.org/0000-0002-6738-477X
Ayeshatu MustaphaOla During Children Hospital, Freetown, Sierra Leone.
Guillaume BretonSolthis, Paris, France.
Jean-Voisin TaguebueMother and Child Center-Chantal Biya Foundation, Yaoundé, Cameroon.
Laurence BorandEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Chishala ChabalaUniversity of Zambia School of Medicine, University Teaching Hospital, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-5551-5752
Olivier MarcyBordeaux Population Health, Inserm U1219, IRD EMR271, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0003-3350-112X
James A SeddonDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2296-2302
Marieke M van der ZalmDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-8787-9139
Decide-TB Study Group, the RaPaed-TB Consortium, the Umoya Study Group, and the TB Speed Consortium

Funding

The long-term consequences of pulmonary tuberculosis and respiratory viruses on lung health in young South African childrenK43TW011028 · FIC · STELLENBOSCH UNIVERSITY · PI VAN DER ZALM, MARIEKE MARGREET · 2020 to 2024
$647k
FIC NIH HHS K43 TW011028
6 · The paper itself

Abstract

introductionIn 2023, almost 200,000 children under 15 years died from tuberculosis, most without appropriate treatment. Treatment decision algorithms (TDAs), developed to facilitate rapid anti-tuberculosis treatment initiation in children, were recommended by the World Health Organization (WHO) in 2022, conditional on validation in different cohorts and settings. We performed a retrospective external evaluation of WHO TDAs using an individual participant dataset (IPD). METHODS AND

findingsThe IPD comprised four paediatric cohorts, restricted to children with presumptive pulmonary TB < 10 years, and including children in high-risk groups (children living with HIV "CLHIV", children with severe acute malnutrition "SAM", and children <2 years). All children in the IPD were retrospectively evaluated using both TDA A (an algorithm including chest X-ray) and TDA B (without chest X-ray), excluding the triage step. The diagnostic accuracy against a composite reference standard (confirmed and unconfirmed tuberculosis versus unlikely tuberculosis) was determined and reported as sensitivities and specificities. Of 1,886 children included (RaPaed-TB: n = 740, Umoya: n = 474, TB-Speed HIV: n = 204, TB-Speed Decentralisation: n = 468), the median age was 2.9 years (interquartile range [IQR]:1.3,5.5), 741 (39.3%) were <2 years, 382 (20.3%) were CLHIV, and 284 (15.1%) had SAM. 281 (14.9%) had confirmed tuberculosis, 672 (35.6%) were classified as unconfirmed tuberculosis (clinically diagnosed, microbiological investigations negative), and 933 (49.5%) as unlikely tuberculosis. For TDAs A and B, algorithm sensitivity was 84.3% (95% CI: 74.8, 90.6) and 90.6% (95% CI: 83.8, 94.7), respectively, with a specificity of 50.6% (95% CI: 30.4, 70.7) and 30.8% (95% CI: 21.5, 42.0), respectively. For TDA A, estimated sensitivity in children in high-risk groups was lower than those with low-risk (83.0%, 95% CI: 79.4%, 86.1%; versus 88.0%, 95% CI: 84.8%, 90.6%), while having a gain in specificity (50.0%, 95% CI: 44.9%, 55.1%; versus 36.6%, 95% CI: 32.7%, 40.7%). Trends were similar for TDA B. As for limitations, most diagnostic tuberculosis studies in children, including two of those included in the IPD, are performed at secondary or tertiary hospitals with higher levels of healthcare and thus the target population might differ somewhat from the IPD, potentially limiting the generalisability of our results.

conclusionsThis retrospective external evaluation of WHO TDAs in a large IPD shows high sensitivity but sub-optimal specificity for both TDAs, in line with the meta-analyses that generated the algorithms. Prospective studies that evaluate the entire TDA, including triage step are needed. Additionally, the integration of novel diagnostic tools within the TDAs should aim to enhance the accuracy, especially the specificity.

Indexed as

AlgorithmsAntitubercular AgentsTuberculosisTuberculosis, PulmonaryChildChild, PreschoolClinical Decision-MakingFemaleHIV InfectionsHumansInfantMaleRetrospective StudiesWorld Health OrganizationAntitubercular Agents

Identifiers

PMID41252347
PMCPMC12626314

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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.