Evidence map›Paper›PMID 38787033›Full record

ArticleTropical medicine and infectious disease2024

Impact of the Stool-Based Xpert Test on Childhood Tuberculosis Diagnosis in Selected States in Nigeria.

Nkiru Nwokoye, Bethrand Odume, Peter Nwadike, Ikechukwu Anaedobe, Zirra Mangoro, Michael Umoren, Chidubem Ogbudebe, Ogoamaka Chukwuogo, Sani Useni, Debby Nongo and 4 more

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Stool Processing Methods for Xpert Ultra Testing in Childhood Tuberculosis: A Prospective, Multicountry Accuracy Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Stool XpertIJTLD open · 2024
    Article
  8. 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

14 authors.

Nkiru NwokoyeTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Bethrand OdumeTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Peter NwadikeTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.ORCID 0000-0003-3599-3463
Ikechukwu AnaedobeTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Zirra MangoroTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Michael UmorenTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Chidubem OgbudebeTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.
Ogoamaka ChukwuogoTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.ORCID 0000-0002-8429-3511
Sani UseniTechnical Department, KNCV Nigeria, Abuja 900103, Nigeria.ORCID 0000-0002-7065-7273
Debby NongoProgram Management Department, HIV/AIDS & TB Office, USAID, Abuja 900103, Nigeria.
Rupert EneoguProgram Management Department, HIV/AIDS & TB Office, USAID, Abuja 900103, Nigeria.
Emeka ElomThe Programs and Coordination Department, National Tuberculosis, Leprosy & Buruli Ulcer Control Program, Abuja 904101, Nigeria.
Petra De HaasTechnical Department, KNCV Tuberculosis Foundation, 2516 AB The Hague, The Netherlands.ORCID 0000-0003-3024-0198
Mustapha GidadoTechnical Department, KNCV Tuberculosis Foundation, 2516 AB The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Nigeria, most children with tuberculosis (TB) present at primary health clinics where there are limited personnel skilled in collecting appropriate respiratory specimens from those who cannot produce sputum. KNCV Nigeria, in collaboration with the National Tuberculosis Control Program, implemented a modified simple, one-step (SOS), stool-based Xpert MTB/RIF method for diagnosis of TB in children who cannot expectorate sputum. We evaluated the impact of its implementation on childhood TB diagnosis.

methodA cross-sectional study was conducted across 14 selected states using secondary data of children presumed to have TB. Stool was collected from children presumed to have TB and processed using Xpert.

resultOut of 52,117 presumptive TB cases, 52% were male and 59.7% were under 5 years old. A total of 2440 (5%) cases were diagnosed with TB, and 2307 (95%) were placed on treatment. Annual TB notifications increased significantly after the introduction of the stool-based Xpert test when compared to those in the pre-implementation period. Increasing contributions from stool testing were observed throughout the implementation period, except in 2020 during the COVID-19 era. Overall, stool Xpert testing improved childhood TB notification in the studied states. Interventions aimed at awareness creation, capacity building, and active case finding improved the performance of the test.

Indexed as

childhood TBstooltuberculosisXpert MTB/RIF

Identifiers

PMID38787033
PMCPMC11126095

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.