Evidence map›Paper›PMID 27007974›Full record

ArticlePloS one2016

A Novel Sample Processing Method for Rapid Detection of Tuberculosis in the Stool of Pediatric Patients Using the Xpert MTB/RIF Assay.

Padmapriya P Banada, Uvistra Naidoo, Srinidhi Deshpande, Farina Karim, JoAnne L Flynn, Melanie O'Malley, Martin Jones, Oliver Nanassy, Prakash Jeena, David Alland

Open access · goldAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 8 pooled it
5.8field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 8 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  11. Stool Processing Methods for Xpert Ultra Testing in Childhood Tuberculosis: A Prospective, Multicountry Accuracy Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  12. Article
  13. Stool XpertIJTLD open · 2024
    Article
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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 at 2 institutions in 1 country.

Padmapriya P BanadaCenter for Infectious Diseases, New Jersey Medical School - Rutgers University, Newark, New Jersey, United States of America.
Uvistra NaidooKwaZulu-Natal Research Institute for TB/HIV (K-RITH), Durban, South Africa.
Srinidhi DeshpandeCenter for Infectious Diseases, New Jersey Medical School - Rutgers University, Newark, New Jersey, United States of America.
Farina KarimKwaZulu-Natal Research Institute for TB/HIV (K-RITH), Durban, South Africa.
JoAnne L FlynnDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.
Melanie O'MalleyDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.
Martin JonesCepheid, 904 Caribbean Drive, Sunnyvale, California, United States of America.
Oliver NanassyCepheid, Bothell, Washington, United States of America.
Prakash JeenaKwaZulu-Natal Research Institute for TB/HIV (K-RITH), Durban, South Africa.
David AllandCenter for Infectious Diseases, New Jersey Medical School - Rutgers University, Newark, New Jersey, United States of America.
Rutgers, The State University of New Jersey · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is difficult to diagnose in children using molecular tests, because children have difficulty providing respiratory samples. Stool could replace sputum for diagnostic TB testing if adequate sample processing techniques were available.

methodsWe developed a rapid method to process large volumes of stool for downstream testing by the Xpert MTB/RIF (Xpert) TB-detection assay. The method was tested and optimized on stool samples spiked with known numbers of M. tuberculosis colony forming units (CFU), and stools from M. tuberculosis-infected cynomolgus macaques (Macaca fascicularis). Performance was scored on number of positive Xpert tests, the cycle thresholds (Cts) of the Xpert sample-processing control (SPC), and the Cts of the M. tuberculosis-specific rpoB probes. The method was then validated on 20 confirmed TB cases and 20 controls in Durban, South Africa.

resultsThe assay's analytical limit of detection was 1,000 CFU/g of stool. As much as one gram of spiked stool could be tested without showing increased PCR inhibition. In analytical spiking experiments using human stool, 1g samples provided the best sensitivity compared to smaller amounts of sample. However, in Macaques with TB, 0.6g stool samples performed better than either 0.2g or 1.2g samples. Testing the stool of pediatric TB suspects and controls suggested an assay sensitivity of 85% (95% CI 0.6-0.9) and 84% (95% CI 0.6-0.96) for 0.6g and 1.2g stool samples, respectively, and a specificity of 100% (95% CI 0.77-1) and 94% (95% CI 0.7-0.99), respectively.

conclusionThis novel approach may permit simple and rapid detection of TB using pediatric stool samples.

Indexed as

AnimalsChildFecesHumansMacaca fascicularisMacaca mulattaMycobacterium tuberculosisSensitivity and SpecificitySpecimen HandlingTuberculosis

Identifiers

PMID27007974
PMCPMC4805262
OpenAlexW2309926617

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.