Evidence map›Paper›PMID 41467783›Full record

ArticleMicrobiology spectrum2026

Sandrine Petry, Jackie Tapprest, Karine Maillard, Frédéric Barbut, Fabien Duquesne, Sofia Kozak, Nathalie Foucher, Maud Bernez-Romand, Ludovic Bridoux, Isabelle Poquet

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2026. 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

10 authors.

Sandrine PetryANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.ORCID 0000-0002-3091-575X
Jackie TapprestANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.
Karine MaillardLABÉO Frank Duncombe, Caen, France.
Frédéric BarbutNational Reference Laboratory for C. difficile, Hôpital Saint Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France.
Fabien DuquesneANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.
Sofia KozakANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.
Nathalie FoucherANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.
Maud Bernez-RomandANSES, Normandy Laboratory for Animal Health, Physiopathology and Epidemiology of Equine Diseases Unit (PhEED), Goustranville, Normandy, France.
Ludovic BridouxUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.
Isabelle PoquetUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.ORCID 0000-0003-3514-6520

Funding

Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES) SEIFCE 2019-009-Rech CloDifEquiInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement SE
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clostridioides difficileClostridium InfectionsEquidaeHorse DiseasesAnimalsAutopsyBacterial ProteinsBacterial ToxinsFranceHorsesRibotypingVirulenceBacterial ProteinsBacterial ToxinsClostridioides difficilediversitynecropsied EquidaeOne Healthprevalencetoxin detection

Identifiers

PMID41467783
PMCPMC12889072

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.