Evidence map›Paper›PMID 35508741›Full record

SynthesisEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2022

Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.

Vishal Sharma, Anoop Singh, Mohita Gaur, Deepti Rawat, Anjali Yadav, Rajan, Chanchal Kumar, Mandira Varma-Basil, Sheelu Lohiya, Vishal Khanna and 4 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Diagnostic accuracy of Xpert MTB/RIF Ultra for detecting pulmonary tuberculosis and rifampicin resistance: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. 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

14 authors.

Vishal SharmaDepartment of Zoology, University of Delhi, Delhi, 110007, India.
Anoop SinghDepartment of Zoology, University of Delhi, Delhi, 110007, India.
Mohita GaurDepartment of Zoology, University of Delhi, Delhi, 110007, India.
Deepti RawatDepartment of Zoology, University of Delhi, Delhi, 110007, India.
Anjali YadavDepartment of Zoology, University of Delhi, Delhi, 110007, India.
RajanDepartment of Zoology, University of Delhi, Delhi, 110007, India.
Chanchal KumarVallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
Mandira Varma-BasilVallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
Sheelu LohiyaChest Clinic, Lok Nayak Hospital, Delhi, 110002, India.
Vishal KhannaChest Clinic, Lok Nayak Hospital, Delhi, 110002, India.
Ashwani KhannaState TB Officer & In-Charge, Chest Clinic, Lok Nayak Hospital, Delhi, 110002, India.
Anil ChaudhryRajan Babu Institute of Pulmonary Medicine and Tuberculosis, Kingsway Camp, Delhi, 110009, India.
Yogendra SinghDepartment of Zoology, University of Delhi, Delhi, 110007, India. ysinghdu@gmail.com.ORCID http://orcid.org/0000-0002-3902-4355
Richa MisraDepartment of Zoology, University of Delhi, Delhi, 110007, India. richamisra@svc.ac.in.

Funding

J. C. Bose research grant SB/S2/JCB-012/2015
6 · The paper itself

Abstract

Precise and timely detection of tuberculosis (TB) is crucial to reduce transmission. This study aims to assess the accuracy of Xpert MTB/RIF Ultra on stool samples and systematically review the performance of Xpert MTB/RIF Ultra with different sample types by meta-analysis. Stool samples of smear-negative pulmonary TB (PTB), cervical lymph node TB, and abdominal TB patients were tested on the Xpert MTB/RIF Ultra system. Meta-analysis was performed on a set of 44 studies. Data were grouped by sample type, and the pooled sensitivity and specificity of Xpert MTB/RIF Ultra were calculated. The sensitivity of Xpert MTB/RIF Ultra with stool samples was 100% for smear-negative PTB, 27.27% for cervical lymph node TB, and 50% for abdominal TB patients, with 100% specificity for all included TB groups. The summary estimate for all PTB samples showed 84.2% sensitivity and 94.5% specificity, and EPTB samples showed 88.6% sensitivity and 96.4% specificity. Among all sample types included in our meta-analysis, urine showed the best performance for EPTB diagnosis. This pilot study supports the use of stool as an alternative non-invasive sample on Xpert MTB/RIF Ultra for rapid testing, suitable for both PTB and EPTB diagnosis.

Indexed as

Antibiotics, AntitubercularMycobacterium tuberculosisTuberculosisDrug Resistance, BacterialHumansPilot ProjectsRifampinSensitivity and SpecificitySputumAntibiotics, AntitubercularRifampinAbdominal TBCervical lymph node TBExtra-pulmonary tuberculosisMeta-analysisPulmonary tuberculosisStoolXpert MTB/RIF Ultra

Identifiers

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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.