Evidence map›Paper›PMID 37550763›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2023

The forgotten cohort-lessons learned from prehospital trauma death: a retrospective cohort study.

Dominik A Jakob, Martin Müller, Sebastian Jud, Roland Albrecht, Wolf Hautz, Urs Pietsch

Open access · goldAbstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.5field-weighted citation impact, top 5% 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.

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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Diagnostic performance of prehospital EFAST in predicting CT scan injuries in severe trauma patients: a multicenter cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  3. Accuracy between prehospital and hospital diagnosis in helicopter emergency medical services and its consequences for trauma care.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  4. Article
  5. Observational
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

6 authors at 3 institutions in 1 country.

Dominik A Jakob *Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland. Dominik.a.jakob@gmail.com.ORCID http://orcid.org/0000-0001-5977-6135
Martin Müller *Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
Sebastian JudDepartment of Anesthesiology and Intensive Care Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Roland AlbrechtDepartment of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
Wolf Hautz *Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
Urs Pietsch *Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
University of Bern · CHKantonsspital St. Gallen · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrauma related deaths remain a relevant public health problem, in particular in the younger male population. A significant number of these deaths occur prehospitally without transfer to a hospital. These patients, sometimes termed "the forgotten cohort", are usually not included in clinical registries, resulting in a lack of information about prehospitally trauma deaths. The aim of the present study was to compare patients who died prehospital with those who sustained life-threatening injuries in order to analyze and potentially improve prehospital strategies.

methodsThis cohort study included all primary operations carried out by Switzerland's largest helicopter emergency medical service (HEMS) between January 1, 2011, and December 31, 2021. We included all adult trauma patients with life-threatening or fatal conditions. The outcome of this study is the vital status of the patient at the end of mission, i.e. fatal or life-threatening. Injury, rescue characteristics, and interventions of the forgotten trauma cohort, defined as patients with a fatal injury (NACA score of VII), were compared with life-threatening injuries (NACA score V and VI).

resultsOf 110,331 HEMS missions, 5534 primary operations were finally analyzed, including 5191 (93.8%) life-threatening and 343 (6.2%) fatal injuries. More than two-thirds of patients (n = 3772, 68.2%) had a traumatic brain injury without a significant difference between the two groups (p > 0.05). Thoracic trauma (44.6% vs. 28.7%, p < 0.001) and abdominal trauma (22.2% vs. 16.1%, p = 0.004) were more frequent in fatal missions whereas pelvic trauma was similar between the two groups (13.4% vs. 12.9%, p = 0.788). Pneumothorax decompression rate (17.2% vs. 3.7%, p < 0.001) was higher in the forgotten cohort group and measures for bleeding control (15.2% vs. 42.7%, p < 0.001) and pelvic belt application (2.9% vs. 13.1% p < 0.001) were more common in the life-threating injury group.

conclusionChest decompression rates and measures for early hemorrhage control are areas for potential improvement in prehospital care.

Indexed as

Air AmbulancesEmergency Medical ServicesAdultAircraftCohort StudiesHumansMaleRetrospective StudiesChest decompressionHelicopter emergency medical servicesHemorrhage controlPrehospital managementTraumatic cardiac arrest

Identifiers

PMID37550763
PMCPMC10405424
OpenAlexW4385632174

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.