Evidence map›Paper›PMID 40133048›Full record

ArticleEmerging infectious diseases2025

Case-Control Study of Factors Associated with Hemolytic Uremic Syndrome among Shiga Toxin-Producing Escherichia coli Patients, Ireland, 2017-2020.

Diana Espadinha, Melissa Brady, Carina Brehony, Douglas Hamilton, Lois O'Connor, Robert Cunney, Suzanne Cotter, Anne Carroll, Patricia Garvey, Eleanor McNamara

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. A case report of postpartum hemolytic uremic syndrome.American journal of translational research · 2026
    Article
  5. Comparative genomics of Shiga toxin-producingFrontiers in veterinary science · 2025
    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

10 authors.

Diana Espadinha
Melissa Brady
Carina Brehony
Douglas Hamilton
Lois O'Connor
Robert Cunney
Suzanne Cotter
Anne Carroll
Patricia Garvey
Eleanor McNamara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) infection can cause potentially fatal hemolytic uremic syndrome (HUS). To determine epidemiologic and bacterial genomic factors associated with HUS, we conducted a retrospective case-control study with 108 HUS cases and 416 unmatched controls (non-HUS) selected among STEC notifications in Ireland during 2017-2020. We combined routinely collected epidemiologic data on STEC notifications with genomewide association study findings and used logistic regression to estimate adjusted odds ratios. Our findings reaffirmed known risk factors, such as young age (0-9 years) and presence of specific stx genes or gene combinations (stx2a; stx1a + stx2a; stx1a + stx2c), and additionally suggest that having outbreak-associated infection, residence within the East region of Ireland, and the combined presence of both ygiW and group_5720 or both pfkA and fieF genes are potentially associated with developing HUS. Our findings could improve early identification of high-risk STEC infections and help guide enhanced surveillance and public health management.

Indexed as

Escherichia coli InfectionsHemolytic-Uremic SyndromeShiga-Toxigenic Escherichia coliAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolFemaleHistory, 21st CenturyHumansInfantInfant, NewbornIrelandMaleantimicrobial resistancebacteriaenteric infectionsfood safetyhemolytic uremic syndromeHUSIrelandShiga toxin–producing Escherichia coliSTEC

Identifiers

PMID40133048
PMCPMC11950266

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.