Evidence map›Paper›PMID 35001483›Full record

ReviewEnvironmental microbiology2022

Clostridioides difficile infection and One Health: an equine perspective.

Natasza M R Hain-Saunders, Daniel R Knight, Mieghan Bruce, Thomas V Riley

Abstract readReview
In one paragraph

Review in Environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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

8 citing papers in PubMed.

  1. Review
  2. Microbiology spectrum · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Emerging Diagnostics inInternational journal of molecular sciences · 2024
    Review
  7. Review
  8. Article
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

4 authors.

Natasza M R Hain-SaundersBiosecurity and One Health Research Centre, Harry Butler Institute, Murdoch University, Murdoch, WA, Australia.ORCID 0000-0002-4259-4340
Daniel R KnightBiosecurity and One Health Research Centre, Harry Butler Institute, Murdoch University, Murdoch, WA, Australia.
Mieghan BruceSchool of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch, WA, Australia.
Thomas V RileyBiosecurity and One Health Research Centre, Harry Butler Institute, Murdoch University, Murdoch, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clostridioides (Clostridium) difficile presents a significant health risk to humans and animals. The complexity of the bacterial-host interaction affecting pathogenesis and disease development creates an ongoing challenge for epidemiological studies, control strategies and prevention planning. The recent emergence of human disease caused by strains of C. difficile found in animals adds to mounting evidence that C. difficile infection (CDI) may be a zoonosis. In equine populations, C. difficile is a known cause of diarrhoea and gastrointestinal inflammation, with considerable mortality and morbidity. This has a significant impact on both the well-being of the animal and, in the case of performance and production animals, it may have an adverse economic impact on relevant industries. While C. difficile is regularly isolated from horses, many questions remain regarding the impact of asymptomatic carriage as well as optimization of diagnosis, testing and treatment. This review provides an overview of our understanding of equine CDI while also identifying knowledge gaps and the need for a holistic One Health approach to a complicated issue.

Indexed as

Clostridioides difficileClostridium InfectionsOne HealthAnimalsClostridioidesDiarrheaHorses

Identifiers

PMID35001483
PMCPMC9304292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.