Evidence map›Paper›PMID 31142526›Full record

ArticleBMJ open2019

Prognostic model for traumatic death due to bleeding: cross-sectional international study.

Francois-Xavier Ageron, Angele Gayet-Ageron, Ewout Steyerberg, Pierre Bouzat, Ian Roberts

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04561050 (Prediction of Massive Transfusion in Trauma Patients in Prehospital and In-hospital), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
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.

NCT04561050 completednot on this mapstarted 2020, after this paper: background citation

Prediction of Massive Transfusion in Trauma Patients in Prehospital and In-hospital: Data From Swiss Trauma Registry (STR)

TypeobservationalSponsorCentre Hospitalier Universitaire VaudoisRan2020 to 2021Enrolled13,222ConditionsTrauma Injury, Haemorrhagic Shock, Bleeding, EmergenciesArmsComparison of score performances (Overall performance, discrimination and calibration)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. [Pathophysiology of bleeding].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2021
    Review
  7. 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

5 authors at 3 institutions in 4 countries.

Francois-Xavier AgeronClinical Trials Unit, London School of Hygiene & Tropical Medicine, London, UK.
Angele Gayet-AgeronClinical Trials Unit, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-6164-9693
Ewout SteyerbergDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Rotterdam, The Netherlands.
Pierre BouzatGrenoble Alpes Trauma Center, Pôle Anesthésie-Réanimation, CHU Grenoble Alpes, Grenoble, France.
Ian RobertsClinical Trials Unit, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBCentre Hospitalier Universitaire de Grenoble · FRLeiden University Medical Center · NL

Funding

Department of Health HTA/14/190/01Medical Research Council MR/M009211/1
6 · The paper itself

Abstract

objectiveTo develop and validate a prognostic model and a simple model to predict death due to bleeding in trauma patients.

designCross-sectional study with multivariable logistic regression using data from two large trauma cohorts.

setting274 hospitals from 40 countries in the Clinical Randomisation of Anti-fibrinolytic in Significant Haemorrhage (CRASH-2) trial and 24 hospitals in the Northern French Alps Trauma registry.

participants13 485 trauma patients in the CRASH-2 trial and 9945 patients in the Northern French Alps Trauma registry who were admitted to hospital within 3 hours of injury.

main outcome measureIn-hospital death due to bleeding within 28 days.

resultsThere were 815 (6%) deaths from bleeding in the CRASH-2 trial and 102 (1%) in the Northern French Alps Trauma registry. The full model included age, systolic blood pressure (SBP), Glasgow Coma Scale (GCS), heart rate, respiratory rate and type of injury (penetrating). The simple model included age, SBP and GCS. In a cross-validation procedure by country, discrimination and calibration were adequate (pooled C-statistic 0.85 (95% CI 0.81 to 0.88) for the full model and 0.84 (95% CI 0.80 to 0.88) for the simple model).

conclusionThis prognostic model can identify trauma patients at risk of death due to bleeding in a wide range of settings and can support prehospital triage and trauma audit, including audit of tranexamic acid use.

Indexed as

Hospital MortalityModels, TheoreticalAdultCohort StudiesCross-Sectional StudiesFemaleHemorrhageHumansMaleMiddle AgedPrognosisRegistriesReproducibility of ResultsWounds and InjuriesYoung Adultauditbleedingcoagulopathydeathhaemorrhagehumaninjuryprognosticscoretrauma

Identifiers

PMID31142526
PMCPMC6549712
OpenAlexW2947197594

What OpenQuestion holds

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LicenceCC BY-NC
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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.