Evidence map›Paper›PMID 40861051›Full record

ReviewFrontiers in pediatrics2025

Young lungs cared enough? India's frontiers in diagnosing pediatric TB.

Silla Varghese Thomas, Priya Rajendran, Sivakumar Shanmugam

Abstract readReview
In one paragraph

Review 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Silla Varghese ThomasDepartment of Bacteriology, National Institute for Research in Tuberculosis- ICMR, Chennai, India.
Priya RajendranDepartment of Bacteriology, National Institute for Research in Tuberculosis- ICMR, Chennai, India.
Sivakumar ShanmugamDepartment of Bacteriology, National Institute for Research in Tuberculosis- ICMR, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review provides an insight into pediatric tuberculosis (TB) diagnosis in India. Significant challenges still exist in the accurate diagnosis of pediatric TB due to the paucibacillary status of the bacilli and the nonspecific clinical symptoms. Despite advancements in newer diagnostics that allow for rapid identification of TB and detection of drug resistance in children, their sensitivity is compromised due to these challenges. It is crucial to consider that children may not always expectorate sputum, further complicating the diagnostic process. Testing multiple samples, like aspirates, bronchoalveolar lavages, stool, urine, saliva, and swabs, may improve sensitivity. However, the efficacy of using these samples for pediatric TB diagnosis requires extensive research to validate their accuracy and reliability. This is crucial, especially in countries like India, which bears a high burden of TB cases, making the need for novel diagnostic approaches even more pressing. This need for innovative diagnostic approaches is particularly important in countries like India, which bears a high burden of TB cases. Collaborative efforts between researchers, healthcare providers, and policymakers are essential to drive innovation and progress toward achieving the END-TB goal. In this review, we have included studies and case reports published over a decade by utilizing scientific databases like PubMed, Scopus, and Google Scholar, and a set of key search terms including "pediatric TB in India", and "pediatric TB diagnosis".

Indexed as

childrendiagnosisIndianewer diagnosticsnon-sputum-based testingpediatric tuberculosis

Identifiers

PMID40861051
PMCPMC12375632

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.