Evidence map›Paper›PMID 40673153›Full record

ArticleFrontiers in microbiology2025

Shiga toxin-producing

Jacqueline Wright, David Duncan, Hugo Strydom, Shevaun Paine, Sarah Jefferies, Joep de Ligt, Lucia Rivas, Michael Addidle, Adrian L Cookson, David Winter and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Jacqueline WrightInstitute of Environmental Science and Research Limited (ESR), Christchurch Science Centre, Christchurch, New Zealand.
David DuncanESR, Wallaceville Science Centre, Upper Hutt, New Zealand.
Hugo StrydomESR, Wallaceville Science Centre, Upper Hutt, New Zealand.
Shevaun PaineESR, Kenepuru Science Centre, Porirua, New Zealand.
Sarah JefferiesESR, Kenepuru Science Centre, Porirua, New Zealand.
Joep de LigtESR, Kenepuru Science Centre, Porirua, New Zealand.
Lucia RivasInstitute of Environmental Science and Research Limited (ESR), Christchurch Science Centre, Christchurch, New Zealand.
Michael AddidleESR, Wallaceville Science Centre, Upper Hutt, New Zealand.
Adrian L CooksonTāwharau Ora-School of Veterinary Science, Massey University, Palmerston North, New Zealand.
David WinterESR, Kenepuru Science Centre, Porirua, New Zealand.
Hilary MillerESR, Kenepuru Science Centre, Porirua, New Zealand.
Geraldine CaseyESR, Kenepuru Science Centre, Porirua, New Zealand.
Jing WangESR, Kenepuru Science Centre, Porirua, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Shiga toxin producing Methods: Epidemiological data from 5,769 cases of STEC infection confirmed during the 7-year period 2016-2022 were reviewed in conjunction with epidemiological typing data from 3,746 case isolates (2,939 analyzed via whole genome sequencing). Results and discussion: Severe illness was reported for 25% of all STEC cases, and 23% of cases were hospitalized. All age groups were affected, but the greatest level of morbidity was observed in those less than 5 years old where the hemolytic uremic syndrome (HUS) incidence rate was 2.86/100,000. Serotypes O157:H7 and O26:H11 together accounted for 54% of infections. Other common serotypes differed from those reported as common elsewhere and included O128:H2, O38:H26, O146:H21 and O91:H14. Shiga toxin subtype 2a strains were more associated with serious illness than other subtypes, regardless of

Indexed as

epidemiological typingepidemiologyseropathotypeseverityShiga toxin-producing Escherichia coliSTECsurveillancewhole genome sequencing

Identifiers

PMID40673153
PMCPMC12263908

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Registered trials

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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.