Evidence map›Paper›PMID 22346738›Full record

ArticlePLoS medicine2012

Characterisation of Clostridium difficile hospital ward-based transmission using extensive epidemiological data and molecular typing.

A Sarah Walker, David W Eyre, David H Wyllie, Kate E Dingle, Rosalind M Harding, Lily O'Connor, David Griffiths, Ali Vaughan, John Finney, Mark H Wilcox and 2 more

Abstract read
In one paragraph

Article in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

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

  1. Pooled it
  2. Global and Historical Distribution ofFrontiers in medicine · 2020
    Pooled it
  3. Guideline
  4. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Fatal Systemic Infection Caused by Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  11. Medicina (Kaunas, Lithuania) · 2025
    Observational
  12. Observational
  13. Article
  14. Using whole genome sequencing to characterizeAntimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  15. Article
  16. Infection control and hospital epidemiology · 2023
    Article
  17. Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  18. Article
  19. Review
  20. Prevalence of Non-ToxigenicAntibiotics (Basel, Switzerland) · 2023
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

A Sarah WalkerNational Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom. asw@ctu.mrc.ac.uk
David W Eyre
David H Wyllie
Kate E Dingle
Rosalind M Harding
Lily O'Connor
David Griffiths
Ali Vaughan
John Finney
Mark H Wilcox
Derrick W Crook
Tim E A Peto

Funding

Biotechnology and Biological Sciences Research CouncilDepartment of Health DRF-2010-03-40Department of Health G0800778Medical Research Council G0800778Wellcome TrustWellcome Trust 087646/Z/08/Z
6 · The paper itself

Abstract

backgroundClostridium difficile infection (CDI) is a leading cause of antibiotic-associated diarrhoea and is endemic in hospitals, hindering the identification of sources and routes of transmission based on shared time and space alone. This may compromise rational control despite costly prevention strategies. This study aimed to investigate ward-based transmission of C. difficile, by subdividing outbreaks into distinct lineages defined by multi-locus sequence typing (MLST). METHODS AND

findingsAll C. difficile toxin enzyme-immunoassay-positive and culture-positive samples over 2.5 y from a geographically defined population of ~600,000 persons underwent MLST. Sequence types (STs) were combined with admission and ward movement data from an integrated comprehensive healthcare system incorporating three hospitals (1,700 beds) providing all acute care for the defined geographical population. Networks of cases and potential transmission events were constructed for each ST. Potential infection sources for each case and transmission timescales were defined by prior ward-based contact with other cases sharing the same ST. From 1 September 2007 to 31 March 2010, there were means of 102 tests and 9.4 CDIs per 10,000 overnight stays in inpatients, and 238 tests and 15.7 CDIs per month in outpatients/primary care. In total, 1,276 C. difficile isolates of 69 STs were studied. From MLST, no more than 25% of cases could be linked to a potential ward-based inpatient source, ranging from 37% in renal/transplant, 29% in haematology/oncology, and 28% in acute/elderly medicine to 6% in specialist surgery. Most of the putative transmissions identified occurred shortly (≤ 1 wk) after the onset of symptoms (141/218, 65%), with few >8 wk (21/218, 10%). Most incubation periods were ≤ 4 wk (132/218, 61%), with few >12 wk (28/218, 13%). Allowing for persistent ward contamination following ward discharge of a CDI case did not increase the proportion of linked cases after allowing for random meeting of matched controls.

conclusionsIn an endemic setting with well-implemented infection control measures, ward-based contact with symptomatic enzyme-immunoassay-positive patients cannot account for most new CDI cases.

Indexed as

Hospital UnitsInfection ControlAnti-Bacterial AgentsBase SequenceClostridioides difficileCross InfectionDiarrheaEndemic DiseasesEnterocolitis, PseudomembranousGastrointestinal TractHospitalizationHumansMultilocus Sequence TypingAnti-Bacterial Agents

Identifiers

PMID22346738
PMCPMC3274560

What OpenQuestion holds

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LicenceCC BY
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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.