Evidence map›Paper›PMID 23259504›Full record

ArticleGenome biology2012

Microevolutionary analysis of Clostridium difficile genomes to investigate transmission.

Xavier Didelot, David W Eyre, Madeleine Cule, Camilla L C Ip, M Azim Ansari, David Griffiths, Alison Vaughan, Lily O'Connor, Tanya Golubchik, Elizabeth M Batty and 10 more

Abstract read
In one paragraph

Article in Genome biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 1 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

134 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Phenotypic analysis of variousApplied and environmental microbiology · 2025
    Article
  8. Phenotypic analysis of variousbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Genomic study of EuropeanMicrobial genomics · 2024
    Article
  12. Article
  13. Article
  14. Comparative Genomics of Clostridioides difficile.Advances in experimental medicine and biology · 2024
    Article
  15. 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
  16. Infection control and hospital epidemiology · 2023
    Article
  17. Article
  18. Genomic epidemiology and transmission dynamics of recurrent Clostridioides difficile infection in Western Australia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  19. Article
  20. PNAS nexus · 2023
    Article

74 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

20 authors.

Xavier Didelot
David W Eyre
Madeleine Cule
Camilla L C Ip
M Azim Ansari
David Griffiths
Alison Vaughan
Lily O'Connor
Tanya Golubchik
Elizabeth M Batty
Paolo Piazza
Daniel J Wilson
Rory Bowden
Peter J Donnelly
Kate E Dingle
Mark Wilcox
A Sarah Walker
Derrick W Crook
Tim E A Peto
Rosalind M Harding

Funding

Biotechnology and Biological Sciences Research CouncilDepartment of Health DRF-2010-03-40Department of Health G0800778Medical Research Council G0800778Wellcome Trust 087646/Z/08/ZWellcome Trust 090532Wellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

backgroundThe control of Clostridium difficile infection is a major international healthcare priority, hindered by a limited understanding of transmission epidemiology for these bacteria. However, transmission studies of bacterial pathogens are rapidly being transformed by the advent of next generation sequencing.

resultsHere we sequence whole C. difficile genomes from 486 cases arising over four years in Oxfordshire. We show that we can estimate the times back to common ancestors of bacterial lineages with sufficient resolution to distinguish whether direct transmission is plausible or not. Time depths were inferred using a within-host evolutionary rate that we estimated at 1.4 mutations per genome per year based on serially isolated genomes. The subset of plausible transmissions was found to be highly associated with pairs of patients sharing time and space in hospital. Conversely, the large majority of pairs of genomes matched by conventional typing and isolated from patients within a month of each other were too distantly related to be direct transmissions.

conclusionsOur results confirm that nosocomial transmission between symptomatic C. difficile cases contributes far less to current rates of infection than has been widely assumed, which clarifies the importance of future research into other transmission routes, such as from asymptomatic carriers. With the costs of DNA sequencing rapidly falling and its use becoming more and more widespread, genomics will revolutionize our understanding of the transmission of bacterial pathogens.

Indexed as

Evolution, MolecularGenome, BacterialClostridioides difficileClostridium InfectionsGenomicsHumansRecombination, Genetic

Identifiers

PMID23259504
PMCPMC4056369

What OpenQuestion holds

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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.