Evidence map›Paper›PMID 22700832›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2012

Diarrhea etiology in a pediatric emergency department: a case control study.

Donna M Denno, Nurmohammad Shaikh, Jenny R Stapp, Xuan Qin, Carolyn M Hutter, Valerie Hoffman, Jody C Mooney, Kelly M Wood, Harold J Stevens, Robert Jones and 2 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  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
    Guideline
  2. Pooled it
  3. Co-infection as a confounder for the role of Clostridium difficile infection in children with diarrhoea: a summary of the literature.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2015
    Pooled it
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  15. EnteroaggregativeFrontiers in microbiology · 2023
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  17. Microbial Etiologies and Clinical Characteristics of Children Seeking Emergency Department Care Due to Vomiting in the Absence of Diarrhea.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
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  20. Performance of Stool-testing Recommendations for Acute Gastroenteritis When Used to Identify Children With 9 Potential Bacterial Enteropathogens.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article

3 more citing papers are in PubMed but not listed here.

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

12 authors.

Donna M DennoDepartment of Pediatrics, Washington University School of Medicine, St Louis, MO, USA.
Nurmohammad Shaikh
Jenny R Stapp
Xuan Qin
Carolyn M Hutter
Valerie Hoffman
Jody C Mooney
Kelly M Wood
Harold J Stevens
Robert Jones
Phillip I Tarr
Eileen J Klein

Funding

Washington University DDRCC Supplemental Equipment RequestP30DK052574 · NIDDK · WASHINGTON UNIVERSITY · PI Nicholas O. Davidson · 2000 to 2026
$30.8M
NIDDK NIH HHS P30 DK052574NIDDK NIH HHS P30DK052574
6 · The paper itself

Abstract

backgroundThe etiology of childhood diarrhea is frequently unknown.

methodsWe sought Aeromonas, Campylobacter, Escherichia coli O157:H7, Pleisiomonas shigelloides, Salmonella, Shigella, Vibrio, and Yersinia (by culture), adenoviruses, astroviruses, noroviruses, rotavirus, and Shiga toxin-producing E. coli (STEC; by enzyme immunoassay), Clostridium difficile (by cytotoxicity), parasites (by microscopy), and enteroaggregative E. coli (EAEC; by polymerase chain reaction [PCR] analysis) in the stools of 254 children with diarrhea presenting to a pediatric emergency facility. Age- and geographic-matched community controls without diarrhea (n = 452) were similarly studied, except bacterial cultures of the stool were limited only to cases.

resultsTwenty-nine (11.4%) case stools contained 13 Salmonella, 10 STEC (6 O157:H7 and 4 non-O157:H7 serotypes), 5 Campylobacter, and 2 Shigella. PCR-defined EAEC were present more often in case (3.2%) specimens than in control (0.9%) specimens (adjusted odds ratio [OR], 3.9; 95% confidence interval [CI], 1.1-13.7), and their adherence phenotypes were variable. Rotavirus, astrovirus, and adenovirus were more common among cases than controls, but both groups contained noroviruses and C. difficile at similar rates. PCR evidence of hypervirulent C. difficile was found in case and control stools; parasites were much more common in control specimens.

conclusionsEAEC are associated with childhood diarrhea in Seattle, but the optimal way to identify these agents warrants determination. Children without diarrhea harbor diarrheagenic pathogens, including hypervirulent C. difficile. Our data support the importance of taking into account host susceptibility, microbial density, and organism virulence traits in future case-control studies, not merely categorizing candidate pathogens as being present or absent.

Indexed as

Bacterial InfectionsCase-Control StudiesChild, PreschoolDiarrheaEmergency Service, HospitalFecesFemaleHumansInfantMaleParasitic DiseasesPolymerase Chain ReactionProspective StudiesVirus DiseasesWashington

Identifiers

PMID22700832
PMCPMC3657524

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.