Evidence map›Paper›PMID 30212505›Full record

ArticlePloS one2018

Evaluation of Xpert MTB/RIF assay for detection of Mycobacterium tuberculosis in stool samples of adults with pulmonary tuberculosis.

S M Mazidur Rahman, Umme Tasnim Maliha, Shahriar Ahmed, Senjuti Kabir, Razia Khatun, Javeed A Shah, Sayera Banu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 13% of its field
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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  13. Stool XpertIJTLD open · 2024
    Article
  14. Article
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  19. Detection ofIJID regions · 2022
    Article
  20. A narrative review of tuberculosis in the United States among persons aged 65 years and older.Journal of clinical tuberculosis and other mycobacterial diseases · 2022
    Review
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

7 authors at 2 institutions in 2 countries.

S M Mazidur RahmanInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.ORCID 0000-0003-2887-6250
Umme Tasnim MalihaInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.
Shahriar AhmedInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.ORCID 0000-0002-8833-4130
Senjuti KabirInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.
Razia KhatunInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.
Javeed A ShahDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-2997-7988
Sayera BanuInfectious Diseases Division, icddr,b 68, Shaheed Tajuddin Ahmed Sarani, Dhaka, Bangladesh.ORCID 0000-0002-5121-1962
International Centre for Diarrhoeal Disease Research · BDUniversity of Washington · US

Funding

TOLLIP Deficiency, Immune Dysregulation, and Tuberculosis SusceptibilityR01AI136921 · NIAID · UNIVERSITY OF WASHINGTON · PI SHAH, JAVEED ALI · 2018 to 2022
$2.5M
TOLLIP and Tuberculosis ImmunopathogenesisK08AI102971 · NIAID · UNIVERSITY OF WASHINGTON · PI SHAH, JAVEED ALI · 2013 to 2016
$708k
NCPDCID CDC HHS U01 CI000628NIAID NIH HHS K08 AI102971NIAID NIH HHS L30 AI091018NIAID NIH HHS R01 AI136921
6 · The paper itself

Abstract

backgroundThe Xpert MTB/RIF (Xpert) assay technology allows rapid and sensitive diagnosis of pulmonary tuberculosis (PTB) from sputum specimens. However, diagnosis of PTB is difficult for patients who cannot produce sputum. The objective of this study was to investigate the use of Xpert assay for successful detection of PTB using stool samples from adult subjects.

methodsBoth stool and sputum samples from known smear and Xpert positive PTB patients were collected from a TB hospital in Dhaka. Stool samples were collected from healthy individuals without TB symptoms from a slum area of Dhaka. Stool and sputum samples were decontaminated and concentrated using NALC-NaOH-Na-citrate solution and the resultant sediment was used for Xpert, acid-fast bacilli (AFB) microscopy and culture.

resultsA total of 102 stool samples were collected from PTB patients and another 50 stool samples from healthy individuals without TB. The sensitivity of the Xpert assay for detection of M. tuberculosis in stool samples of PTB patients was 90.2% (95% CI, 82.9-95.0). All 50 stool samples from healthy individuals were negative by the assay (Specificity 100%; 95% CI, 92.9-100). Compared with the sputum culture positive results the sensitivity of the stool Xpert assay was 94.8% (95% CI, 88.5-97.8). Moreover, stool Xpert demonstrated full concordant results with the sputum culture for detection of rifampicin susceptibility. The cycle threshold values of rpoB probes obtained from Xpert assay correlated significantly with the bacilli load in the corresponding stool (Spearman correlation = -0.40, P < 0.01) and sputum (Spearman correlation = -0.77, P < 0.01) samples as determined by microscopy.

conclusionsStool Xpert can be applied as a potential alternative of sputum testing for detection of M. tuberculosis and accurate determination of RIF susceptibility in adult PTB patients. The assay would be beneficial for rapid diagnosis of PTB for those adult patients who cannot expectorate sputum.

Indexed as

Mycobacterium tuberculosisAdultAgedAged, 80 and overAntibiotics, AntitubercularBacteriological TechniquesFecesFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRifampinSensitivity and SpecificitySpecimen HandlingSputumAntibiotics, AntitubercularRifampin

Identifiers

PMID30212505
PMCPMC6136698
OpenAlexW2892180043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.