Evidence map›Paper›PMID 21844805›Full record

ArticleCurrent opinion in infectious diseases2011

Defining the causes of diarrhea: novel approaches.

Darwin J Operario, Eric Houpt

Open access · greenAbstract read
In one paragraph

Article in Current opinion in infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.6field-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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. 2017 Infectious Diseases Society of America Clinical Practice Guidelines for the Diagnosis and Management of Infectious Diarrhea.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
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  12. Nonculture diagnostic tests for enteric diseases.Emerging infectious diseases · 2012
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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

2 authors at 1 institution in 1 country.

Darwin J OperarioDivision of Infectious Diseases and International Health, University of Virginia Health System, Charlottesville, Virginia 22908, USA.
Eric Houpt
University of Virginia Health System · US

Funding

Comprehensive Molecular Diagnosis for Food and Waterborne EnteropathogensU01AI075396 · NIAID · UNIVERSITY OF VIRGINIA · PI HOUPT, ERIC R · 2007 to 2011
$3.0M
NIAID NIH HHS U01 AI075396
6 · The paper itself

Abstract

purpose of reviewDiarrheal disease causes substantial morbidity and mortality worldwide; however, defining the microbiologic causes are challenging due to the large number of potential enteropathogens that require testing, insensitivity of existing conventional methods, the frequent occurrence of mixed infections, and high rates of background carriage in many communities. RECENT

findingsHere we review recent detection methods for enteropathogens with a particular focus on nucleic acid amplification assays. SUMMARY: Nucleic acid amplification assays with high sensitivity and throughput now allow screening for multiple enteropathogens in stool samples. Interpretation will be complicated by high rates of mixed infections and background carriage in many communities. Therefore, new detection techniques, including quantitative methods, will need to be utilized in conjunction with the clinical context and careful study design. These methods should yield new insights into the causes and epidemiology of diarrhea.

Indexed as

DiarrheaGastrointestinal DiseasesHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSensitivity and Specificity

Identifiers

PMID21844805
PMCPMC3258431
OpenAlexW2917182985

What OpenQuestion holds

Textmetadata
LicenceTDM
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.