Evidence map›Paper›PMID 38949709›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Improved Diagnosis and Treatment Monitoring of Tuberculosis Using Stool and the Tuberculosis Bacterial Load Assay (TB-MBLA).

Emmanuel Musisi, Bariki Mtafya, William Saava Wambi, Josephine Zawedde, Abdulwahab Sessolo, Willy Ssengooba, Natasha Walbaum, Nyanda Elias Ntinginya, Stephen H Gillespie, Wilber Sabiiti

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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

10 authors.

Emmanuel MusisiDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Bariki MtafyaNational Institute for Medical Research - Mbeya Medical Research Centre, Mbeya, Tanzania.
William Saava WambiSchool of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Josephine ZaweddeInfectious Diseases Research Collaboration, Kampala, Uganda.
Abdulwahab SessoloInfectious Diseases Research Collaboration, Kampala, Uganda.
Willy SsengoobaSchool of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Natasha WalbaumDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Nyanda Elias NtinginyaNational Institute for Medical Research - Mbeya Medical Research Centre, Mbeya, Tanzania.
Stephen H GillespieDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Wilber SabiitiDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK. ws31@st-andrews.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis and monitoring of tuberculosis treatment is difficult as many patients are unable to produce sputum. This means that many patients are treated on the basis of clinical findings and consequently some will be exposed to anti-tuberculosis drugs unnecessarily. Moreover, for those appropriately on treatment and unable to produce a sputum sample, it will be impossible to monitor the response to treatment. We have shown that stool is a potential alternative sample type for diagnosis of tuberculosis. Currently, available protocols like the Xpert MTB/RIF use DNA as a target to detect Mycobacterium tuberculosis in stool but DNA survives long after the organism is dead so it is not certain whether a positive test is from an old or a partially treated infection. The TB MBLA only detects live organisms and thus, can be used to follow the response to treatment. In this chapter, we describe a protocol for TB-MBLA, an RNA-based assay, and apply it to quantify TB bacteria in stool.

Indexed as

Bacterial LoadFecesMycobacterium tuberculosisTuberculosisAntitubercular AgentsDNA, BacterialHumansSputumAntitubercular AgentsDNA, BacterialAntibioticsDrug resistanceMolecular diagnosticsTreatmentTuberculosis

Identifiers

PMID38949709

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.