Evidence map›Paper›PMID 32746874›Full record

ArticleWorld journal of emergency surgery : WJES2020

Training to identify red flags in the acute care of trauma: who are the patients at risk for early death despite a relatively good prognosis? An analysis from the TraumaRegister DGU®.

Philip-C Nolte, David Häske, Rolf Lefering, Michael Bernhard, Sebastian Casu, Susanne Frankenhauser, Andreas Gather, Paul A Grützner, Matthias Münzberg, TraumaRegister DGU

Abstract read
In one paragraph

Article in World journal of emergency surgery : WJES, 2020. 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
–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

5 citing papers in PubMed.

  1. Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  2. Article
  3. Article
  4. Observational
  5. No trauma-related diagnosis in emergency trauma room whole-body computer tomography of patients with inconspicuous primary survey.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    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

10 authors.

Philip-C NolteDepartment of Trauma and Orthopedic Surgery, BG Trauma Center Ludwigshafen, 67071, Ludwigshafen, Germany.
David HäskeCenter for Public Health and Health Services Research, University Hospital Tübingen, 72076, Tübingen, Germany.
Rolf LeferingInstitute for Research in Operative Medicine (IFOM), University Witten/Herdecke, Cologne, Germany.
Michael BernhardEmergency Department, University Hospital Duesseldorf, 40225, Duesseldorf, Germany.
Sebastian CasuDepartment of Intensive Care and Emergency Medicine, Helios Hospital Salzgitter, 38226, Salzgitter, Germany.
Susanne FrankenhauserDepartment of Rescue and Emergency Medicine, BG Trauma Center Ludwigshafen, 67071, Ludwigshafen, Germany.
Andreas GatherDepartment of Trauma and Orthopedic Surgery, BG Trauma Center Ludwigshafen, 67071, Ludwigshafen, Germany.
Paul A GrütznerDepartment of Trauma and Orthopedic Surgery, BG Trauma Center Ludwigshafen, 67071, Ludwigshafen, Germany.
Matthias MünzbergDepartment of Trauma and Orthopedic Surgery, BG Trauma Center Ludwigshafen, 67071, Ludwigshafen, Germany. matthias.muenzberg@bgu-ludwigshafen.de.
TraumaRegister DGU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the acute care of trauma, some patients with a low estimated risk of death die suddenly and unexpectedly. In this study, we aim to identify predictors for early death within 24 h following hospital admission in low-risk patients.

methodsThe TraumaRegister DGU® was used to collect records of patients who were primarily treated in a participating hospital between 2004 and 2013 with a RISC II score below 10%.

resultsDuring the study period, 64,379 patients met the inclusion criteria. The mean RISC II score was 2.0%, and the mean ISS was 16 ± 9. The overall hospital mortality rate was 2.1%, and 0.5% of patients (n = 301) died within the first 24 h. A SPB of ≤ 90 mmHg was associated with an increased risk of death (p < 0.001). An AIS abdomen score of ≥ 3 was associated with increased risk of death within the first 24 h (p < 0.001). A high risk of early death was also seen in patients with an AIS score (thorax) ≥ 3; 51% of those who died died within the first 24 h (p < 0.005). Death in patients over 60 years was more common after 24 h (p < 0.001). Patients with an ASA score of ≥ 3 were more likely to die after the first 24 h (p < 0.001).

conclusionsIndicators predicting a high risk of early death in patients with a low RISC II score include a SPB ≤ 90 mmHg and severe chest and abdominal trauma. Emergency teams involved in the acute care of trauma patients should be aware of these "red flags" and treat their patients accordingly.

Indexed as

AdultData AnalysisData ManagementDocumentationFemaleHospital MortalityHumansMalePredictive Value of TestsProspective StudiesRegistriesRisk AssessmentRisk FactorsTrauma Severity IndicesWounds and InjuriesEarly deathLife supportPrehospitalRed flagsRevised injury severity classification (RISC-score)TraumaTrauma registry

Identifiers

PMID32746874
PMCPMC7398082

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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.