Evidence map›Paper›PMID 40570051›Full record

ArticlePLOS global public health2025

Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in primary care settings: A modelling analysis.

Nyashadzaishe Mafirakureva, Olugbenga Kayode Daniel, Olabamiji Jamiu Olayinka, Kingsley Chinedum Ochei, Eveline Klinkenberg, Austin Ihesie, Debby Nongo, Rupert Amanze Eneogu, Andwele Mwansasu, Emeka Uga Elom and 8 more

Abstract read
In one paragraph

Article in PLOS global public health, 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. 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

18 authors.

Nyashadzaishe MafirakurevaSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0001-9775-6581
Olugbenga Kayode DanielInstitute of Human Virology, Abuja, Nigeria.
Olabamiji Jamiu OlayinkaInstitute of Human Virology, Abuja, Nigeria.ORCID https://orcid.org/0009-0008-8587-4423
Kingsley Chinedum OcheiUSAID, Abuja, Nigeria.ORCID https://orcid.org/0009-0006-0000-736X
Eveline KlinkenbergIndependent Consultant, Connect TB, The Hague, The Netherlands.ORCID https://orcid.org/0000-0001-7179-3595
Austin IhesieUSAID, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-1739-6350
Debby NongoUSAID, Abuja, Nigeria.
Rupert Amanze EneoguUSAID, Abuja, Nigeria.
Andwele MwansasuInfectious Disease Detection and Surveillance, Rockville, Maryland, United States of America.
Emeka Uga ElomFederal Ministry of Health, National Tuberculosis, Buruli Ulcer & Leprosy Control Programme, Abuja, Nigeria.
Agbaje Vivian AderonkeInstitute of Human Virology, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-3625-5625
Patrick Sunday DakumInstitute of Human Virology, Abuja, Nigeria.
Charles Olalekan MensahInstitute of Human Virology, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-2292-0591
Oluwafemi Christopher OdolaInstitute of Human Virology, Abuja, Nigeria.ORCID https://orcid.org/0009-0001-8115-9448
Abiola Oladotun OlayemiInstitute of Human Virology, Abuja, Nigeria.
Emily Yemisi FaleyeOsun State Ministry of Health, State Tuberculosis, Buruli Ulcer & Leprosy Control Programme, Osogbo, Nigeria.
Adekunle Omotoso MakindeOyo State Ministry of Health, State Tuberculosis, Buruli Ulcer & Leprosy Control Programme, Ibadan, Nigeria.
Peter J DoddSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0001-5825-9347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organisation (WHO) recommends rapid molecular diagnostics to improve bacteriological confirmation of tuberculosis in children. TrueNat MTB, MTB Plus and MTB-RIF Dx assays (Molbio Diagnostics, India), recommended by WHO, hold potential as point-of-care tests in resource-limited settings. Using stool samples with these assays could enhance testing access, improve linkage to care, reduce costs, and increase cost-effectiveness over traditional methods. However, evidence on their costs and cost-effectiveness is limited and needed for informed policy decisions on adoption and scale up. We used a decision-tree analytic modelling approach, time-and-motion study, and routine data to estimate the potential impact of implementing stool-based TrueNat testing for the diagnosis of pulmonary tuberculosis in children within Nigerian primary healthcare settings on healthcare outcomes, resource use, health system costs, and cost-effectiveness relative to the standard of care (SoC). The cost per test was $13.06 (standard deviation; $0.77) for TrueNat and $16.25 (standard deviation; $1.34) for Xpert. For every 100 children with presumptive tuberculosis, the stool-based TrueNat testing intervention was projected to increase case detection rate by 2 (95% uncertainty interval [UI 0-6]) cases and bacteriological confirmation by 21% (95% UI 11-32). Diagnoses at primary health centres (PHC) would increase by 22% (95% UI 11-32), averting 1 (95% UI 0-2) deaths and 15 (95% UI -4-41) discounted DALYs. Although resource use and health system costs increased by $2,682 (95% UI 1,039-4,731) per 100 children, the incremental cost-effectiveness ratio of $183 per DALY averted suggests cost-effectiveness at thresholds of 0.5 × GDP per capita. Implementing stool-based TrueNat testing has potential to increase access and reduce direct health system costs associated with the diagnosis of pulmonary tuberculosis in children in routine health care settings. Such an approach is likely to represent a good value for money compared to SoC.

Identifiers

PMID40570051
PMCPMC12200842

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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.