Evidence map›Paper›PMID 42616726›Full record

ArticlePLOS global public health2026

Identifying pediatric extrapulmonary tuberculosis through an active screening program: Findings and programmatic implications from Bangladesh.

Giordano Sosa Soto, Jeffrey I Campbell, Amyn A Malik, Md Mahfuzur Rahman, Farzana Hossain, Suchitra Kulkarni, Kamruzzaman Kamrul, Md Toufiq Rahman, Jacob Creswell, Hamidah Hussain and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Giordano Sosa SotoDepartment of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0009-0009-7911-584X
Jeffrey I CampbellBoston Medical Center, Boston, Massachusetts, United States of America.
Amyn A MalikIRD Global, Singapore.
Md Mahfuzur RahmanIRD Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0009-4054-4946
Farzana HossainIRD Bangladesh, Dhaka, Bangladesh.
Suchitra KulkarniBoston Medical Center, Boston, Massachusetts, United States of America.
Kamruzzaman KamrulBangladesh Shishu Hospital & Institute, Dhaka, Bangladesh.
Md Toufiq RahmanIRD Bangladesh, Dhaka, Bangladesh.
Jacob CreswellInnovations & Grants Team, Stop TB Partnership, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4885-940X
Hamidah HussainIRD Global, Singapore.
Tapash RoyIRD Global, Singapore.ORCID https://orcid.org/0000-0002-8133-2634
Meredith B BrooksDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-8431-5517

Funding

Tuberculosis in teens: a geospatial approach to predict community transmissionK01AI151083 · NIAID · HARVARD MEDICAL SCHOOL · PI Meredith Blair Brooks · 2021 to 2026
$698k
The relationship between HIV exposure, contact networks, and TB in children under 5 years oldK23AI186597 · NIAID · BOSTON MEDICAL CENTER · PI Jeffrey Ian Campbell · 2024 to 2026
$574k
NIAID NIH HHS K01 AI151083NIAID NIH HHS K23 AI186597
6 · The paper itself

Abstract

We assessed 188 children diagnosed with extrapulmonary tuberculosis in Bangladesh. Over half were aged 10-14 years old. Common symptoms included fever (91.5%), weight loss (88.3%), and decreased appetite (72.9%). Four children died prior to treatment; of 176 children on treatment, 4.0% had unsuccessful outcomes, potentially influenced by age and low weight. Findings highlight the need for improved diagnosis and management in children.

Identifiers

PMID42616726
PMCPMC13489430

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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.