Evidence map›Paper›PMID 40879468›Full record

ArticleMicrobiology spectrum2025

Contamination rates in serially sampled sputum specimens obtained during tuberculosis treatment to capture culture conversion.

N Niemand, J A Rooney, S Malatesta, N Rawoot, T C Bouton, E J Ragan, T Carney, L F White, M Farhat, C R Horsburgh and 3 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

N Niemand *South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-5638-1469
J A Rooney *Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA.
S MalatestaDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-0849-2348
N RawootSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
T C BoutonDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-1521-148X
E J RaganDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
T CarneyMental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Tygerberg, South Africa.ORCID 0000-0001-5400-0565
L F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
M FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3871-5760
C R HorsburghDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
B MyersMental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Tygerberg, South Africa.ORCID 0000-0003-0235-6716
R M WarrenSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
K R JacobsonDepartment of Medicine, Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0003-4239-3685

Funding

Investigating bacterial contributions to TB treatment response: a focus on in-host pathogen dynamicsR01AI155765 · NIAID · HARVARD MEDICAL SCHOOL · PI FARHAT, MAHA · 2020 to 2024
$3.7M
The impact of alcohol consumption on TB treatment outcomesR01AI119037 · NIAID · BOSTON MEDICAL CENTER · PI JACOBSON, KAREN R · 2016 to 2020
$3.3M
NIAID NIH HHS R01 AI119037NIAID NIH HHS R01 AI155765NIH HHS R01AI119037
6 · The paper itself

Abstract

Sputum cultures are the gold standard for tuberculosis (TB) diagnosis and treatment monitoring. However, cultures in MGIT liquid media are susceptible to microbial contamination, often rendering them uninterpretable. Research has shown that maintaining strict cold chains and supervised sample collection can reduce contamination rates, but few longitudinal studies with weekly sampling have explored this. Here, we evaluated whether (i) the time between specimen collection and laboratory processing and (ii) unsupervised specimen collection are associated with contamination rates. Additionally, we estimated contamination rates over the first 12 weeks of treatment and assessed the clinical and behavioral predictors of contamination. We collected 3,155 sputum specimens from 301 participants undergoing TB treatment. Contamination was lowest (12.3%) at treatment initiation, increased over the first few weeks, and stabilized around 30% from week 8 onwards. Samples collected without supervision were more likely to be contaminated at treatment initiation (

Indexed as

Mycobacterium tuberculosisSpecimen HandlingSputumTuberculosisTuberculosis, PulmonaryAdultBacteriological TechniquesFemaleHumansMaleMiddle Agedcontamination ratesdiagnosissputumtuberculosis

Identifiers

PMID40879468
PMCPMC12502799

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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.