Evidence map›Paper›PMID 41406010›Full record

ArticleMicrobial genomics2025

Predicting clinical outcome of

Julian A Paganini, Suniya Khatun, Sean McAteer, Lauren Cowley, David R Greig, David L Gally, Claire Jenkins, Timothy J Dallman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Distribution of prophage-encoded Pas sRNAs across pathogenicbioRxiv : the preprint server for biology · 2026
    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

8 authors.

Julian A PaganiniFaculty of Veterinary Medicine, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, 3584 CL, the Netherlands.
Suniya KhatunDivision of Biosciences, Institute of Structural and Molecular Biology, University College London, London, WC1E 6BT, UK.
Sean McAteerDivision of Bacteriology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Lauren CowleyUniversity of Bath, Biology and Biochemistry, Bath, BA2 7AY, UK.
David R GreigDivision of Bacteriology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
David L GallyDivision of Bacteriology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Claire JenkinsUnited Kingdom Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
Timothy J DallmanFaculty of Veterinary Medicine, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, 3584 CL, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing

Indexed as

Escherichia coli InfectionsEscherichia coli O157Machine LearningEnglandGenome, BacterialHumansPhylogenyVirulence FactorsWhole Genome SequencingVirulence Factorsclinical outcome predictionmachine learningNext Generation Sequencing (NGS)public healthShiga toxinShiga toxin-producing Escherichia coli (STEC)

Identifiers

PMID41406010
PMCPMC12711010

What Socratic 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 Socratic graph.