Evidence map›Paper›PMID 29498619›Full record

ArticleMicrobial genomics2018

Genomic survey of Clostridium difficile reservoirs in the East of England implicates environmental contamination of wastewater treatment plants by clinical lineages.

Danesh Moradigaravand, Theodore Gouliouris, Catherine Ludden, Sandra Reuter, Dorota Jamrozy, Beth Blane, Plamena Naydenova, Kim Judge, Sani H Aliyu, Nazreen F Hadjirin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Variety ofGerms · 2026
    Article
  5. Article
  6. The Role ofMicroorganisms · 2025
    Review
  7. Some Factors Influencing the Number ofInfection and drug resistance · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Spore-FormingMicrobiology spectrum · 2023
    Article
  12. Review
  13. Make It LessGenes · 2022
    Review
  14. Article
  15. Review
  16. Mechanisms of antibiotic resistance of Clostridioides difficile.The Journal of antimicrobial chemotherapy · 2021
    Review
  17. Article
  18. Article
  19. Isolation and characterization of a multidrug-resistantJournal of environmental health science & engineering · 2020
    Article
  20. Review
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

15 authors at 4 institutions in 2 countries.

Danesh Moradigaravand1​Wellcome Trust Sanger Institute, Hinxton, UK.
Theodore Gouliouris2​University of Cambridge, Cambridge, UK.
Catherine Ludden3​London School of Hygiene and Tropical Medicine, London, UK.
Sandra Reuter4​University of Freiburg, Freiburg im Breisgau, Germany.
Dorota Jamrozy1​Wellcome Trust Sanger Institute, Hinxton, UK.
Beth Blane2​University of Cambridge, Cambridge, UK.
Plamena Naydenova2​University of Cambridge, Cambridge, UK.
Kim Judge1​Wellcome Trust Sanger Institute, Hinxton, UK.
Sani H Aliyu2​University of Cambridge, Cambridge, UK.
Nazreen F Hadjirin2​University of Cambridge, Cambridge, UK.
Mark A Holmes2​University of Cambridge, Cambridge, UK.
Estée Török2​University of Cambridge, Cambridge, UK.
Nicholas M Brown2​University of Cambridge, Cambridge, UK.
Julian Parkhill1​Wellcome Trust Sanger Institute, Hinxton, UK.
Sharon Peacock2​University of Cambridge, Cambridge, UK.
University of Cambridge · GBWellcome Sanger Institute · GBLondon School of Hygiene & Tropical Medicine · GBUniversity of Freiburg · DE

Funding

Medical Research Council G1001787Medical Research Council MR/N029399/1Wellcome TrustWellcome Trust 103387/Z/13/ZWellcome Trust 110243/Z/15/Z
6 · The paper itself

Abstract

There is growing evidence that patients with Clostridiumdifficile-associated diarrhoea often acquire their infecting strain before hospital admission. Wastewater is known to be a potential source of surface water that is contaminated with C. difficile spores. Here, we describe a study that used genome sequencing to compare C. difficile isolated from multiple wastewater treatment plants across the East of England and from patients with clinical disease at a major hospital in the same region. We confirmed that C. difficile from 65 patients were highly diverse and that most cases were not linked to other active cases in the hospital. In total, 186 C. difficile isolates were isolated from effluent water obtained from 18 municipal treatment plants at the point of release into the environment. Whole genome comparisons of clinical and environmental isolates demonstrated highly related populations, and confirmed extensive release of toxigenic C. difficile into surface waters. An analysis based on multilocus sequence types (STs) identified 19 distinct STs in the clinical collection and 38 STs in the wastewater collection, with 13 of 44 STs common to both clinical and wastewater collections. Furthermore, we identified five pairs of highly similar isolates (≤2 SNPs different in the core genome) in clinical and wastewater collections. Strategies to control community acquisition should consider the need for bacterial control of treated wastewater.

Indexed as

Bayes TheoremClostridioides difficileCross-Sectional StudiesDiarrheaDNA, BacterialEnglandGenome, BacterialGenomicsHumansMultilocus Sequence TypingRetrospective StudiesSequence Analysis, DNAWaste ManagementWastewaterDNA, BacterialWastewaterClostridium difficilegenomic epidemiologyOne Healthwastewater treatment plants

Identifiers

PMID29498619
PMCPMC5885014
OpenAlexW2790474861

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.