Evidence map›Paper›PMID 42465198›Full record

ArticleTrauma surgery & acute care open2026

Impact of vehicular data on trauma outcomes after motor vehicle crashes.

Sarah D Diaz, Jamila K Picart, Shukri Dualeh, Staci T Aubry, Jonathan W Scott, Stewart C Wang, Mark R Hemmila, Raymond A Jean

Abstract read
In one paragraph

Article in Trauma surgery & acute care open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Sarah D DiazSurgery, University of Chicago Medicine, Chicago, Illinois, USA.
Jamila K PicartSurgery, University of Michigan, Ann Arbor, Michigan, USA.
Shukri DualehSurgery, University of Michigan, Ann Arbor, Michigan, USA.
Staci T AubrySurgery, University of Michigan, Ann Arbor, Michigan, USA.
Jonathan W ScottSurgery, Harborview Medical Center, Seattle, Washington, USA.
Stewart C WangSurgery, University of Michigan, Ann Arbor, Michigan, USA.
Mark R HemmilaSurgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4143-8394
Raymond A JeanSurgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-5421-0386

Funding

AHRQ HHS R01 HS027788
6 · The paper itself

Abstract

Introduction: Field triage guidelines exist to inform first responder personnel on criteria to expedite the transfer of motor vehicle collision (MVC) patients to trauma centers; however, these guidelines are minimally informed by the vehicle characteristics and collision characteristics. Given this, we studied associations of the vehicle characteristics and collision characteristics with patient injury and outcomes. Methods: We conducted a retrospective study using Michigan State Police crash reports linked with Michigan Trauma Quality Improvement Program collaborative quality initiative data. Univariable analysis was used to identify characteristics predictive of the primary outcome of severe injury, defined as an Injury Severity Score >15 (ISS>15), and multivariable logistic regression analysis was performed across primary and secondary outcomes of ISS>15, mortality, and the need for surgery, intensive care, or transfer to another hospital. Results: There were 13 154 linked cases between the two data sources. This contained 52.3% males with a mean age of 41.7 years (SD 20.7 years). In multivariable logistic regression, the collision characteristics associated with the highest increased odds of ISS>15 were single-vehicle crashes (OR 1.35, p<0.01) and head-on crashes (OR 1.54, p<0.01). Head-on crashes (OR 1.60, p<0.01) and single-vehicle crashes (OR 1.46, p=0.03) were associated with a significantly increased risk of mortality. Head-on crashes (OR 1.49, p<0.01) and single-vehicle crashes (OR 1.37, p<0.01) were associated with the highest odds of operative intervention or intensive care. Conclusions: Several vehicle and collision characteristics are associated with increased odds of severe traumatic injury and death after MVC. The addition of these characteristics to field triage assessments could improve triage decision-making to predict injury severity and the risk of mortality. Level of evidence: III, prognostic, epidemiological.

Indexed as

CollisionsCrashField TriageinjuryMotor Vehicles

Identifiers

PMID42465198
PMCPMC13374435

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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.