Evidence map›Paper›PMID 27927919›Full record

ArticleJournal of clinical microbiology2017

Clinical Evaluation and Cost Analysis of Great Basin Shiga Toxin Direct Molecular Assay for Detection of Shiga Toxin-Producing Escherichia coli in Diarrheal Stool Specimens.

Matthew L Faron, Nathan A Ledeboer, Jessica Connolly, Paul A Granato, Brenda R Alkins, Jennifer Dien Bard, Judy A Daly, Stephen Young, Blake W Buchan

Open access · bronzeAbstract readComparative StudyEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 1 country.

Matthew L FaronThe Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Nathan A LedeboerThe Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Jessica ConnollyThe Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Paul A GranatoLaboratory Alliance of Central New York, Syracuse, New York, USA.ORCID 0000-0002-5068-1137
Brenda R AlkinsLaboratory Alliance of Central New York, Syracuse, New York, USA.
Jennifer Dien BardChildrens Hospital of Los Angeles, Los Angeles, California, USA.
Judy A DalyUniversity of Utah Primary Children's Hospital, Salt Lake City, Utah, USA.
Stephen YoungTriCore Laboratories, Albuquerque, New Mexico, USA.
Blake W BuchanThe Medical College of Wisconsin, Milwaukee, Wisconsin, USA bbuchan@mcw.edu.ORCID 0000-0002-4111-048X
Medical College of Wisconsin · USCentral New York Research Corporation · USChildren's Hospital of Los Angeles · USPrimary Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Shiga Toxin Direct molecular assay (ST Direct) relies on nucleic acid amplification and solid array-based amplicon detection to identify Shiga toxin-producing Escherichia coli (STEC) in preserved stool specimens. Genes encoding Shiga toxin (stx

Indexed as

Costs and Cost AnalysisBacteriological TechniquesCarbohydrate EpimerasesEscherichia coli InfectionsFecesHumansImmunoenzyme TechniquesMolecular Diagnostic TechniquesProspective StudiesRetrospective StudiesSensitivity and SpecificityShiga-Toxigenic Escherichia coliShiga ToxinTime FactorsTransaminasesCarbohydrate Epimerasesperosamine synthetaseShiga ToxinTransaminasesmicroarraymolecular diagnosticsShiga toxinsSTEC

Identifiers

PMID27927919
PMCPMC5277522
OpenAlexW2559953738

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.