Evidence map›Paper›PMID 40194533›Full record

Observational studyThe Lancet. Microbe2025

Performance of stool Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis among adults living with HIV: a multicentre, prospective diagnostic study.

George W Kasule, Sabine Hermans, Sozinho Acacio, Alexander Kay, Joachim Kikoyo Nsubuga, Carlos Fernández-Escobar, Nosisa Shiba, Lucia Carratalá-Castro, Derrick Semugenze, Patricia Mwachan and 11 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05047315 (Evaluating a New Stool Based qPCR for Diagnosis of Tuberculosis in Children and People Living With HIV), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT05047315 completednot on this map

Evaluating a New Stool Based qPCR for Diagnosis of Tuberculosis in Children and People Living With HIV

TypeobservationalSponsorBarcelona Institute for Global HealthRan2021 to 2025Enrolled1,967ConditionsTuberculosis, Diagnoses Disease
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Closing gaps through innovation in the tuberculosis pathology value chain.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
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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.

George W KasuleDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda; Universitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain; National TB Reference Laboratory, Ministry of Health, Kampala, Uganda.
Sabine HermansAmsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands; Centre for Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam UMC, location University of Amsterdam, Amsterdam Public Health-Global Health, Amsterdam Institute for Immunity and Infectious Diseases, Amsterdam, Netherlands.
Sozinho AcacioCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique; Instituto Nacional de Saúde, Ministério da Saúde, Manhica, Mozambique.
Alexander KayBaylor College of Medicine Children's Foundation, Mbabane, Eswatini; Baylor College of Medicine, Global TB Program, Houston, TX, USA.
Joachim Kikoyo NsubugaDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda.
Carlos Fernández-EscobarUniversitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain.
Nosisa ShibaBaylor College of Medicine Children's Foundation, Mbabane, Eswatini.
Lucia Carratalá-CastroUniversitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Derrick SemugenzeDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda; Amsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands.
Patricia MwachanDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda.
Shilzia MunguambeCentro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
Joanna EhrlichUniversitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain.
Elisa Lopez-VarelaUniversitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain.
Andrew R DiNardoBaylor College of Medicine, Global TB Program, Houston, TX, USA; Radboud University Medical Center, Nijmegen, Netherlands.
Frank CobelensAmsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands.
Christoph LangeBaylor College of Medicine, Global TB Program, Houston, TX, USA; Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; Clinical Tuberculosis Unit, German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany; Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany.
Moses JolobaDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda.
Anna M MandalakasBaylor College of Medicine, Global TB Program, Houston, TX, USA; Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; Clinical Tuberculosis Unit, German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany.
Willy SsengoobaDepartment of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda; Makerere University Lung Institute, Makerere University, Kampala, Uganda.
Alberto L García-BasteiroUniversitat de Barcelona, Barcelona Institute for Global Health, Hospital Clínic, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CIBERINFEC, Barcelona, Spain. Electronic address: alberto.garcia-basteiro@isglobal.org.
Stool4TB Global Partnership

Funding

Quantifiable stool-based TB PCR to Improve Diagnostics and Treatment MonitoringR01AI137527 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MANDALAKAS, ANNA M · 2019 to 2022
$2.7M
Wastewater surveillance to enhance the public health response to HIV and TB in EswatiniDP1HD115427 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI Alexander William Kay · 2024 to 2026
$1.7M
Developing Clinical Prediction Tools to Define Strategies for Differentiated Service Delivery in Children and Adolescents Living with HIV in sub-Saharan Africa.K01TW011482 · FIC · BAYLOR COLLEGE OF MEDICINE · PI KAY, ALEXANDER WILLIAM · 2020 to 2024
$749k
FIC NIH HHS K01 TW011482NIAID NIH HHS R01 AI137527NICHD NIH HHS DP1 HD115427
6 · The paper itself

Abstract

backgroundWhen people living with HIV develop pulmonary tuberculosis, it often manifests without detectable acid-fast bacilli on sputum microscopy. We aimed to assess the diagnostic accuracy of stool Xpert MTB/RIF Ultra (hereafter, Ultra) for Mycobacterium tuberculosis detection among adults with HIV.

methodsThis multicentre, prospective diagnostic accuracy study was done in outpatient and inpatient health centres in Eswatini, Mozambique, and Uganda. We enrolled adults aged 15 years and older with HIV with presumptive tuberculosis. We evaluated the diagnostic accuracy of stool Ultra using the simple one-step processing method against a composite microbiological reference standard (CMRS) including three WHO-recommended tuberculosis diagnostic tests (urine tuberculosis biomarker-based lateral-flow lipoarabinomannan [TB-LAM], sputum Ultra, and sputum culture), and stratified by CD4 cell count. We compared sputum versus stool Ultra performance against a composite reference standard of TB-LAM and sputum culture (CMRS2). We also calculated the diagnostic yield among all tested. This study is registered with ClinicalTrials.gov, NCT05047315.

findingsBetween Dec 2, 2021, and Aug 14, 2024, 677 participants were enrolled (247 [36%] men and 430 [64%] women). Tuberculosis was microbiologically confirmed in 119 participants by the CMRS: 39 (33%) had a positive test with sputum Ultra, 30 (25%) had a positive test with culture, and 84 (71%) had a positive test with urine TB-LAM. The sensitivity of stool Ultra compared with CMRS was 23·7% (28/118 [95% CI 16·4-32·4]) and the specificity was 94·0% (504/536 [91·7-95·9]). The sensitivity of stool Ultra in participants with CD4 counts less than or equal to 200 cells per μL was 45·5% (10/22 [24·4-67·8]) compared with 21·3% (17/80 [12·9-31·8]) in those with CD4 counts greater than 200 cells per μL. Against the CMRS2, we observed no differences in sensitivity between sputum and stool Ultra on the basis of CD4 cell count. Stool Ultra resulted in additional cases detected of 23% (30/133) compared with sputum Ultra, 29% (38/133) compared with sputum culture, and 33% (44/133) compared with TB-LAM. The overall diagnostic yield for all treated for stool Ultra was 9% (60/677), for TB-LAM was 12% (84/677), for sputum Ultra was 6% (39/677), and for sputum culture was 4% (30/677).

interpretationThese results suggest stool Ultra could be used as an additional test for tuberculosis diagnosis among people with HIV, particularly among those with CD4 counts less than 200 cells per μL.

fundingEDCTP2 and EDCTP3 Programmes supported by the EU.

Indexed as

FecesHIV InfectionsMycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAdolescentAdultCD4 Lymphocyte CountFemaleHumansLipopolysaccharidesMaleMiddle AgedMozambiqueProspective StudiesSensitivity and SpecificitylipoarabinomannanLipopolysaccharides

Identifiers

PMID40194533
PMCPMC12214060

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Registered trials

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.