Evidence map›Paper›PMID 20200293›Full record

ArticleJournal of clinical microbiology2010

Evaluation of molecular tools for detection and drug susceptibility testing of Mycobacterium tuberculosis in stool specimens from patients with pulmonary tuberculosis.

Julianna Cordova, Ron Shiloh, Robert H Gilman, Patricia Sheen, Laura Martin, Fanny Arenas, Luz Caviedes, Vivian Kawai, Giselle Soto, Diana L Williams and 3 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
1.5field-weighted citation impact, top 18% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Recommendations for the diagnosis of pediatric tuberculosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Guideline
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Culturing stool specimens has no added value in diagnosing pulmonary tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Detection ofJournal of family medicine and primary care · 2022
    Article
  14. Article
  15. The Potential for Testing Stool to Reduce Tuberculosis Missed Diagnoses and Misdiagnoses.The American journal of tropical medicine and hygiene · 2018
    Article
  16. Article
  17. Article
  18. Stool XpertThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
    Article
  19. Article
  20. 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

13 authors at 5 institutions in 3 countries.

Julianna CordovaLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru.
Ron Shiloh
Robert H Gilman
Patricia Sheen
Laura Martin
Fanny Arenas
Luz Caviedes
Vivian Kawai
Giselle Soto
Diana L Williams
Mirko Zimic
A Roderick Escombe
Carlton A Evans
Universidad Peruana Cayetano Heredia · PEPrisma · PEImperial College London · GBHammersmith Hospital · GBNational Hansen's Disease Program · US

Funding

PHS HHS T35A107646Wellcome Trust 057434
6 · The paper itself

Abstract

Pulmonary tuberculosis diagnosis is difficult when patients cannot produce sputum. Most sputum is swallowed, and tuberculosis DNA can survive intestinal transit. We therefore evaluated molecular testing of stool specimens for detecting tuberculosis originating from the lungs. Paired stool and sputum samples (n=159) were collected from 89 patients with pulmonary tuberculosis. Control stool samples (n=47) were collected from patients without tuberculosis symptoms. Two techniques for DNA extraction from stool samples were compared, and the diagnostic accuracy of the PCR in stool was compared with the accuracy of sputum testing by PCR, microscopy, and culture. A heminested IS6110-PCR was used for tuberculosis detection, and IS6110-PCR-positive stool samples then underwent rifampin sensitivity testing by universal heteroduplex generator PCR (heteroduplex-PCR) assay. For newly diagnosed pulmonary tuberculosis patients, stool IS6110-PCR had 86% sensitivity and 100% specificity compared with results obtained by sputum culture, and stool PCR had similar sensitivities for HIV-positive and HIV-negative patients (P=0.3). DNA extraction with commercially available spin columns yielded greater stool PCR sensitivity than DNA extraction with the in-house Chelex technique (P=0.007). Stool heteroduplex-PCR had 98% agreement with the sputum culture determinations of rifampin resistance and multidrug resistance. Tuberculosis detection and drug susceptibility testing by stool PCR took 1 to 2 days compared with an average of 9 weeks to obain those results by traditional culture-based testing. Stool PCR was more sensitive than sputum microscopy and remained positive for most patients for more than 1 week of treatment. In conclusion, stool PCR is a sensitive, specific, and rapid technique for the diagnosis and drug susceptibility testing of pulmonary tuberculosis and should be considered when sputum samples are unavailable.

Indexed as

Antitubercular AgentsDNA, BacterialDNA Transposable ElementsDrug Resistance, BacterialFecesHIV InfectionsHumansMicrobial Sensitivity TestsMycobacterium tuberculosisPolymerase Chain ReactionSensitivity and SpecificitySputumTime FactorsTuberculosis, PulmonaryAntitubercular AgentsDNA, BacterialDNA Transposable Elements

Identifiers

PMID20200293
PMCPMC2863910
OpenAlexW2122263243

What OpenQuestion holds

Textmetadata
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.