Evidence map›Paper›PMID 39196389›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2024

Effectiveness of a two-tiered trauma team activation system at a level I trauma center.

Jamela Abu-Aiada, Elchanan Quint, Daniel Dykman, David Czeiger, Gad Shaked

Abstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jamela Abu-AiadaFaculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel. jamelaa@post.bgu.ac.il.
Elchanan QuintDepartment of General Surgery, Soroka University Medical Center, Ben- Gurion University, Beer Sheva, Israel.
Daniel DykmanTrauma Unit, Soroka University Medical Center, Beer Sheva, Israel.
David CzeigerDepartment of General Surgery, Soroka University Medical Center, Ben- Gurion University, Beer Sheva, Israel.
Gad ShakedDepartment of General Surgery, Soroka University Medical Center, Ben- Gurion University, Beer Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMany trauma patients who are transported to our level I trauma center have minor injuries that do not require full trauma team activation (FTTA). Thus, we implemented a two-tiered TTA system categorizing patients into red and yellow code alerts, indicating FTTA and Limited TTA (LTTA) requirements, respectively. This study aimed to assess the effectiveness of this triage tool by evaluating its diagnostic parameters (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), undertriage and overtriage) and comparing injury severity between the two groups.

methodsA retrospective cohort study of patients admitted to a Level I trauma center. Characteristics compared between the red and yellow code groups included demographics, injury severity, treatments, and hospital length of stay (LOS). Calculating the diagnostic parameters was based on Injury Severity Score (ISS) and the need for life-saving surgery or procedures.

resultsSignificant differences in injury severity indicators were observed between the two groups. Patients in the red code group had a higher ISS and New Injury Severity Score (NISS), a lower Glasgow Coma Score (GCS), Revised Trauma Score (RTS), and probability of survival. They had a longer hospital LOS, a higher Intensive Care Unit (ICU) admission rate and required more emergency operations. The Sensitivity of the triage tool was 85.2%, specificity was 55.6%, PPV was 74.2%, NPV was 71.5%, undertriage was 14.7%, and overtriage was 25.7%.

conclusionThe two-tiered TTA system effectively distinguish between patients with major trauma who need FTTA and patients with minor trauma who can be managed by LTTA.

Indexed as

Injury Severity ScoreLength of StayTrauma CentersTriageWounds and InjuriesAdultFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPatient Care TeamRetrospective StudiesSensitivity and SpecificityIn-hospital triageLevel I trauma centerOvertriageTwo-tiered trauma team activationUndertriage

Identifiers

PMID39196389
PMCPMC11599413

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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.