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

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

Publication date: Nov 01, 2025

In 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). The IPD comprised four paediatric cohorts, restricted to children with presumptive pulmonary TB 

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Concepts Keywords
Algorithms Algorithms
Paediatric Antitubercular Agents
Tuberculosis Antitubercular Agents
Child
Child, Preschool
Clinical Decision-Making
Female
HIV Infections
Humans
Infant
Male
Retrospective Studies
Tuberculosis
Tuberculosis, Pulmonary
World Health Organization

Semantics

Type Source Name
disease MESH tuberculosis
pathway KEGG Tuberculosis
disease IDO history
disease IDO process
disease MESH Infectious Diseases
disease MESH Infection
pathway REACTOME Infectious disease
disease IDO infectious disease
drug DRUGBANK Ademetionine
disease IDO algorithm
disease MESH nutritional status
disease MESH HIV Infections
disease MESH Tuberculosis Pulmonary

Original Article

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