Evidence map›Paper›PMID 21762504›Full record

ArticleBMC infectious diseases2011

Incidence of and risk factors for community-associated Clostridium difficile infection: a nested case-control study.

Jennifer L Kuntz, Elizabeth A Chrischilles, Jane F Pendergast, Loreen A Herwaldt, Philip M Polgreen

Abstract read
In one paragraph

Article in BMC infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 8 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

70 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Epidemiologic profile of community-acquiredEpidemiology and infection · 2025
    Pooled it
  2. Guideline
  3. Global burden ofJournal of global health · 2019
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Article
  10. Epidemiology ofAntibiotics (Basel, Switzerland) · 2026
    Article
  11. Article
  12. Clinical microbiology reviews · 2024
    Review
  13. Recurrent Clostridioides difficile Infection: Current Clinical Management and Microbiome-Based Therapies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Clinical Use of Lansoprazole and the Risk of Osteoporosis: A Nationwide Cohort Study.International journal of environmental research and public health · 2022
    Article
  18. Review
  19. Proton-Pump Inhibitor Use and the Risk of Community-Associated Clostridium difficile Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  20. Antibiotic-Associated Adverse Events in Hospitalized Children.Journal of the Pediatric Infectious Diseases Society · 2021
    Observational

10 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

5 authors.

Jennifer L KuntzCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA. jennifer.l.kuntz@kpchr.org
Elizabeth A Chrischilles
Jane F Pendergast
Loreen A Herwaldt
Philip M Polgreen

Funding

Social Networks and the Spread of Influenza and other Nosocomial InfectionsK01AI075089 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M. · 2008 to 2012
$733k
NIAID NIH HHS K01 AI075089NIAID NIH HHS K01 AI75089PHS HHS 5 U18 HSO16094
6 · The paper itself

Abstract

backgroundClostridium difficile is the most common cause of nosocomial infectious diarrhea in the United States. However, recent reports have documented that C. difficile infections (CDIs) are occurring among patients without traditional risk factors. The purpose of this study was to examine the epidemiology of CA-CDI, by estimating the incidence of CA-CDI and HA-CDI, identifying patient-related risk factors for CA-CDI, and describing adverse health outcomes of CA-CDI.

methodsWe conducted a population-based, retrospective, nested, case-control study within the University of Iowa Wellmark Data Repository from January 2004 to December 2007. We identified persons with CDI, determined whether infection was community-associated (CA) or hospital-acquired (HA), and calculated incidence rates. We collected demographic, clinical, and pharmacologic information for CA-CDI cases and controls (i.e., persons without CDI). We used conditional logistic regression to estimate the odds ratios (ORs) for potential risk factors for CA-CDI.

resultsThe incidence rates for CA-CDI and HA-CDI were 11.16 and 12.1 cases per 100,000 person-years, respectively. CA-CDI cases were more likely than controls to receive antimicrobials (adjusted OR, 6.09 [95% CI 4.59-8.08]) and gastric acid suppressants (adjusted OR, 2.30 [95% CI 1.56-3.39]) in the 180 days before diagnosis. Controlling for other covariates, increased risk for CA-CDI was associated with use of beta-lactam/beta-lactamase inhibitors, cephalosporins, clindamycin, fluoroquinolones, macrolides, and penicillins. However, 27% of CA-CDI cases did not receive antimicrobials in the 180 days before their diagnoses, and 17% did not have any traditional risk factors for CDI.

conclusionsOur study documented that the epidemiology of CDI is changing, with CA-CDI occurring in populations not traditionally considered "high-risk" for the disease. Clinicians should consider this diagnosis and obtain appropriate diagnostic testing for outpatients with persistent or severe diarrhea who have even remote antimicrobial exposure.

Indexed as

AdolescentAdultAgedAnti-Infective AgentsClostridioides difficileCommunity-Acquired InfectionsCross InfectionEnterocolitis, PseudomembranousFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedOdds RatioRetrospective StudiesAnti-Infective Agents

Identifiers

PMID21762504
PMCPMC3154181

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.