Evidence map›Paper›PMID 37726859›Full record

ArticleMilitary Medical Research2023

Enhancing the clinical relevance of haemorrhage prediction models in trauma.

Sankalp Tandle, Jared M Wohlgemut, Max E R Marsden, Erhan Pisirir, Evangelia Kyrimi, Rebecca S Stoner, William Marsh, Zane B Perkins, Nigel R M Tai

Registry-linked trialAbstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Military Medical Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07634185 (Clinical Evaluation of an AI Risk Prediction and Decision Support System for Early Management of Injured Patients), which is not on this 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.

NCT07634185 early_phase1not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Clinical Evaluation of an AI Risk Prediction and Decision Support System for Early Management of Injured Patients: a Stepped-wedge Cluster Randomised Trial

TypeinterventionalSponsorQueen Mary University of LondonRan2026 to 2027Enrolled1,200ConditionsTrauma, Injury, Decision Support Systems, ClinicalArmsAI-TRiPS Device
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Sankalp TandleCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK. sankalp.tandle1@nhs.net.ORCID http://orcid.org/0009-0000-8210-728X
Jared M WohlgemutCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
Max E R MarsdenCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
Erhan PisirirDepartment of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
Evangelia KyrimiDepartment of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
Rebecca S StonerCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
William MarshDepartment of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
Zane B PerkinsCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
Nigel R M TaiCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceEmergency Medical ServicesClinical RelevanceHemorrhageHumansMachine LearningArtificial intelligenceBlood transfusionInjuryMachine learningMassive transfusionPredictionTrauma

Identifiers

PMID37726859
PMCPMC10510175

What OpenQuestion holds

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Registered trials

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.