Evidence map›Paper›PMID 35241189›Full record

ArticleEpidemiology and infection2022

The epidemiology of Shiga toxin-producing

Saira Butt, Claire Jenkins, Gauri Godbole, Lisa Byrne

Abstract read
In one paragraph

Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Mind the gap! TypingMicrobial genomics · 2026
    Article
  3. An outbreak of Shiga toxin-producingEpidemiology and infection · 2026
    Article
  4. Article
  5. Microbiology and epidemiology of enteroaggregativeJournal of medical microbiology · 2025
    Article
  6. Article
  7. An outbreak of Shiga toxin-producingEpidemiology and infection · 2025
    Article
  8. National outbreak of Shiga toxin-producingEpidemiology and infection · 2024
    Article
  9. Genotypic analysis of Shiga toxin-producingJournal of medical microbiology · 2024
    Article
  10. Article
  11. Analysis ofMicrobial genomics · 2023
    Article
  12. Article
  13. Article
  14. Microbiology (Reading, England) · 2023
    Article
  15. Article
  16. Article
  17. 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.

Saira ButtNational Infection Service, Public Health England, London, UK.
Claire JenkinsNational Infection Service, Public Health England, London, UK.ORCID 0000-0001-8600-9169
Gauri GodboleNational Infection Service, Public Health England, London, UK.
Lisa ByrneNational Infection Service, Public Health England, London, UK.ORCID 0000-0001-5320-2085

Funding

Department of Health
6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) serogroup O157 is a zoonotic, foodborne gastrointestinal pathogen of major public health concern. We describe the epidemiology of STEC O157 infection in England by exploring the microbiological and clinical characteristics, the demographic and geographical distribution of cases, and examining changes in environmental exposures over 11 years of enhanced surveillance. Enhanced surveillance data including microbiological subtyping, clinical presentations and exposures were extracted for all cases resident in England with evidence of STEC O157 infection, either due to faecal culture or serology detection. Incidence rates were calculated based on mid-year population estimates from the Office of National Statistics (ONS). Demographics, geography, severity and environmental exposures were compared across the time periods 2009-2014 and 2015-2019. The number of cases reported to national surveillance decreased, with the mean cases per year dropping from 887 for the period 2009-2014 to 595 for the period 2015-2019. The decline in STEC O157 infections appears to be mirrored by the decrease in cases infected with phage type 21/28. Although the percentage of cases that developed HUS decreased, the percentage of cases reporting bloody diarrhoea and hospitalisation remained stable. The number of outbreaks declined over time, although more refined typing methods linked more cases to each outbreak. Integration of epidemiological data with microbiological typing data is essential to understanding the changes in the burden of STEC infection, assessment of the risks to public health, and the prediction and mitigation of emerging threats.

Indexed as

Escherichia coli InfectionsEscherichia coli O157Shiga-Toxigenic Escherichia coliDiarrheaHumansSerogroupEscherichia colifoodborne zoonosesgastrointestinal infectionsinfectious disease epidemiologyzoonotic foodborne diseases

Identifiers

PMID35241189
PMCPMC8915195

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.