Evidence map›Paper›PMID 41477272›Full record

ArticleFrontiers in pediatrics2025

Diagnostic performance of chest radiography for pediatric tuberculosis across high- and low-burden settings.

Alicia Hernanz-Lobo, Juan J Gómez-Valverde, Ángel Lancharro, Ramón Sánchez-Jacob, José Luis Ribó, H Simon Schaaf, Lara García Delgado, Daniel Capellán-Martín, David Aguilera-Alonso, Daniel Blázquez-Gamero and 11 more

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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. Review
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

21 authors.

Alicia Hernanz-Lobo *Pediatric Infectious Diseases Department, Gregorio Marañón University Hospital, Madrid, Spain.
Juan J Gómez-Valverde *Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Ángel LancharroPediatric Radiology Department, Gregorio Marañón University Hospital, Madrid, Spain.
Ramón Sánchez-JacobGeorge Washington School of Medicine, Washington, DC, United States.
José Luis RibóRadiology Department, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain.
H Simon SchaafDesmond Tutu TB Centre, Department of Pediatrics and Child Health, Stellenbosch University, Cape Town, South Africa.
Lara García DelgadoBiomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Daniel Capellán-MartínBiomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
David Aguilera-AlonsoPediatric Infectious Diseases Department, Gregorio Marañón University Hospital, Madrid, Spain.
Daniel Blázquez-GameroTranslational Research Network in Pediatric Infectious Diseases (RITIP), Madrid, Spain.
Antoni Noguera-JulianTranslational Research Network in Pediatric Infectious Diseases (RITIP), Madrid, Spain.
Paula Rodríguez-MolinoCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBER INFEC), Carlos III Health Institute, Madrid, Spain.
Laura MinguellDepartment of Pediatrics, University Hospital Arnau de Vilanova, Lleida, Spain.
Matilde Bustillo-AlonsoPediatric Infectious Diseases Unit, Department of Pediatrics, University Hospital Miguel Servet, Zaragoza, Spain.
Antoni Soriano-ArandesPediatric Infectious Diseases and Immunodeficiencies Unit, Children's Hospital, Vall D'Hebron Barcelona Hospital Campus, Barcelona, Spain.
David Gomez-PastranaPediatric Neumology Unit, Pediatrics Department, Hospital Jerez de la Frontera, Cádiz, Spain.
Alberto L García-BasteiroCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBER INFEC), Carlos III Health Institute, Madrid, Spain.
Orvalho AugustoCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Moçambique.
María J Ledesma-CarbayoBiomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Elisa López-VarelaBarcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain.
Begoña Santiago-GarcíaPediatric Infectious Diseases Department, Gregorio Marañón University Hospital, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chest radiography (CXR) is the most widely used imaging tool in pediatric tuberculosis (TB) diagnostic pathways, and remains central in current WHO algorithms. However, its standalone diagnostic accuracy has not been well established in standardized multicenter evaluations. This study aimed to determine the diagnostic performance and interobserver agreement of CXR for pediatric TB across two epidemiologically distinct settings, and to assess the added value of clinical information and lateral projections. Methods: We evaluated the diagnostic performance of CXR in two pediatric cohorts from distinct TB-burden settings. The high-burden cohort (Mozambique) included 218 children under 3 years (10 confirmed TB, 95 unconfirmed TB, 113 unlikely TB). The low-burden cohort (Spain) included 674 children under 18 years (145 confirmed TB, 237 unconfirmed TB, 95 with TB infection, 101 with community-acquired pneumonia, and 96 healthy controls). Four independent expert readers (three pediatric radiologists and one pediatric infectious disease specialist), each with over 15 years of experience, interpreted CXRs using a standardized digital platform, blinded to clinical data. In a subset of 75 Spanish cases, re-readings incorporated limited clinical information. Results: Sensitivity for confirmed TB was low in both settings (31.0% in Mozambique, 46.1% in Spain), while specificity was high (94.7% and 96.5%, respectively). In a subset of 75 Spanish cases, adding limited clinical data increased sensitivity from 39.3% to 50.0% ( Conclusions: This multicenter analysis confirms the limited sensitivity but high specificity of CXR for pediatric TB, even when interpreted by expert readers. These findings highlight that CXR alone cannot reliably confirm or exclude disease and should be integrated with clinical and microbiological data. Future diagnostic pathways, including artificial intelligence-assisted CXR interpretation, will likely need multimodal approaches to overcome the intrinsic limitations of imaging alone.

Indexed as

Childrendiagnostic accuracyhigh-burdeninterobserver variability clinical predictorslow-burden chest radiographytuberculosis

Identifiers

PMID41477272
PMCPMC12748184

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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.