Evidence map›Paper›PMID 40799783›Full record

ArticleOpen forum infectious diseases2025

Stool-Based Molecular Tuberculosis Treatment Monitoring: A Faster Means for Detecting Persistent Mycobacteria Compared to Phenotypic Culture.

Clement Gascua Adu Gyamfi, Abigail Seeger, Durbbin Mulengwa, Anca Vasiliu, Lucia Carratala-Castro, Bariki Mtafya, Nontobeko Maphalala, Shilzia Munguambe, Belen Saavedra, Tara Ness and 12 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 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. 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

22 authors.

Clement Gascua Adu GyamfiGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-3190-9343
Abigail SeegerGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0009-0004-0149-6084
Durbbin MulengwaGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-0536-7859
Anca VasiliuGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Lucia Carratala-CastroBarcelona Institute for Global Health, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-2355-6477
Bariki MtafyaNational Institute for Medical Research-Mbeya Medical Research Center, Mbeya, Tanzania.ORCID https://orcid.org/0000-0003-3772-8671
Nontobeko MaphalalaGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-9097-4631
Shilzia MunguambeCentro de Investigação em Saude de Manhiça, Maputo, Mozambique.ORCID https://orcid.org/0000-0002-5433-727X
Belen SaavedraCentro de Investigação em Saude de Manhiça, Maputo, Mozambique.
Tara NessGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-4425-418X
Gugu MaphalalaEswatini Health Laboratory Service, Mbabane, Eswatini.ORCID https://orcid.org/0000-0002-3635-8405
Sozinho AcacioCentro de Investigação em Saude de Manhiça, Maputo, Mozambique.ORCID https://orcid.org/0000-0002-3173-6446
Edson MambuqueCentro de Investigação em Saude de Manhiça, Maputo, Mozambique.ORCID https://orcid.org/0000-0002-9106-1444
Joanna EhrlichBarcelona Institute for Global Health, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-7828-7222
Rojelio MejiaPediatric Tropical Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-4134-4558
Mangaliso ZiyaneDepartment of Global Tuberculosis Program, Baylor Colloge of Medcine Foundation Eswatini, Mbabane, Eswatini.
H Lester KirchnerGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-2557-6749
Christoph LangeGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9691-4741
Alexander KayGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.
Alberto L Garcia-BasteiroBarcelona Institute for Global Health, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-2038-5505
Anna MandalakasGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-8091-3509
Andrew R DiNardoGlobal Tuberculosis Program, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-5990-6470

Funding

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 TW011482NICHD NIH HHS DP1 HD115427
6 · The paper itself

Abstract

Background: Tuberculosis (TB) treatment monitoring is hindered by the lack of a rapidly measured biomarker that accurately predicts clinically relevant outcomes. Symptom screening poorly correlates with bacillary burden. Although culture is a direct measure of viable bacillary burden, the long turnaround time makes it clinically irrelevant. Methods: The TB treatment monitoring potential of stool-based, quantitative polymerase chain reaction (qPCR) was prospectively assessed among 231 participants of all ages from Eswatini, Tanzania, and Mozambique with microbiologically confirmed TB. Stool qPCR results were compared to sputum culture, persistent symptoms, drug resistance, and World Health Organization TB outcomes. Results: Quantitative bacillary burden measured by stool qPCR strongly correlated with sputum culture at baseline (Spearman correlation Conclusions: Stool-based TB treatment monitoring correlates with sputum culture but provides results faster, leverages a more accessible specimen, and identifies patients with TB who are at risk for drug resistance and persistent 2-month culture positivity. None of the quantitative tests of bacillary burden singularly could predict symptom resolution or death.

Indexed as

sputum culturestool-basedstool-based molecular teststool qPCR testtreatment monitoring

Identifiers

PMID40799783
PMCPMC12342930

What OpenQuestion holds

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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.