Evidence map›Paper›PMID 41219974›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2025

A comparison of clinical prediction scores for massive traumatic hemorrhage.

Alexandre Tran, Tyler Lamb, Manya Charette, Chelsea Lanos, Kevin Durr, Peter Glen, Maher Matar, Jacinthe Lampron, Naisan Garraway, Brodie Nolan and 4 more

Abstract readComparative Study
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 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. Early transfusion strategies in haemorrhagic shock.Scandinavian journal of trauma, resuscitation and emergency medicine · 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

14 authors.

Alexandre TranDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Canada. aletran@toh.ca.
Tyler LambDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Canada.
Manya CharetteAcute Care Research Program, Ottawa Hospital Research Institute, Ottawa, Canada.
Chelsea LanosAcute Care Research Program, Ottawa Hospital Research Institute, Ottawa, Canada.
Kevin DurrDepartment of Critical Care, University of Ottawa, Ottawa, Canada.
Peter GlenDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Canada.
Maher MatarDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Canada.
Jacinthe LampronDivision of General Surgery, Department of Surgery, University of Ottawa, Ottawa, Canada.
Naisan GarrawayDepartment of Surgery, University of British Columbia, Vancouver, Canada.
Brodie NolanDepartment of Medicine, University of Toronto, Toronto, Canada.
Leah RosenkrantzDepartment of Surgery, University of British Columbia, Vancouver, Canada.
Doran DrewDepartment Emergency Medicine, University of Ottawa, Ottawa, Canada.
Eusang AhnDepartment Emergency Medicine, University of Ottawa, Ottawa, Canada.
Christian VaillancourtAcute Care Research Program, Ottawa Hospital Research Institute, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate early identification of bleeding trauma patients remains challenging. Several clinical prediction tools-including the Assessment of Blood Consumption (ABC) score, Trauma-Associated Severe Hemorrhage (TASH) score, and shock index (SI)-have been developed to guide transfusion decisions, but their performance across clinically meaningful outcomes remains uncertain.

methodsWe conducted a retrospective cohort study of trauma patients with massive hemorrhage protocol (MHP) activation at a university-affiliated, regional referral trauma center in Ontario, Canada, from July 2019 to September 2022. We included patients aged ≥ 16 years who presented within 3 h of injury. We evaluated the ABC score, TASH score, and SI for predicting massive transfusion (≥ 10 PRBCs in 24 h or ≥ 5 PRBCs in 4 h), the critical administration threshold (CAT; ≥3 PRBCs in 1 h), need for hemostatic intervention, and hemorrhage-related mortality. Score performance was assessed using area under the ROC curve (AUC), sensitivity, and specificity.

resultsAmong 331 patients, 10.6% received ≥ 10 PRBCs, 20.8% met the 5-unit threshold, 30.8% met CAT, 27.8% required hemostatic intervention, and 4.2% died from hemorrhage during the index admission. The TASH score had the highest AUCs (0.72-0.82) but poor sensitivity. The ABC score showed moderate, threshold-dependent performance (AUCs 0.66-0.76). The shock index (≥ 1.0) showed fair discrimination for major transfusion thresholds (AUC ~ 0.74) but was less predictive for hemostatic intervention (AUC 0.60).

conclusionThe ABC, TASH, and SI scores performed poorly to moderately across key bleeding outcomes. These findings highlight the need for improved tools aligned with real-time, clinically actionable endpoints in trauma resuscitation.

Indexed as

Blood TransfusionHemorrhageWounds and InjuriesAdultAgedFemaleHumansInjury Severity ScoreMaleMiddle AgedOntarioPredictive Value of TestsRetrospective StudiesTrauma CentersHemorrhageMassive transfusionPrediction scoresTrauma

Identifiers

PMID41219974
PMCPMC12607193

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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.