Evidence map›Paper›PMID 41272162›Full record

ArticleScientific reports2025

Higher hospital level does not improve 30-day survival after road traffic accidents.

Viktor Ydenius, Sebastian Djerf, Mats Fredrikson, Robert Larsen, Folke Sjöberg, Attila Frigyesi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

6 authors.

Viktor Ydenius *Department of Biomedical and Clinical Sciences (BVK), Linköping University, Linköping, 581 83, Sweden. viktor.ydenius@liu.se.
Sebastian Djerf *Department of Surgery, Ystad Lasarett, Ystad, 271 82, Sweden.
Mats FredriksonDepartment of Biomedical and Clinical Sciences (BVK), Linköping University, Linköping, 581 83, Sweden.
Robert LarsenDepartment of Biomedical and Clinical Sciences (BVK), Linköping University, Linköping, 581 83, Sweden.
Folke SjöbergDepartment of Biomedical and Clinical Sciences (BVK), Linköping University, Linköping, 581 83, Sweden.
Attila FrigyesiDepartment for Clinical Sciences in Lund (IKVL), Lund University, Lund, 221 85, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, road traffic accidents (RTAs) remain a major cause of death, particularly among individuals aged 15-30 years. While Sweden has been at the forefront of traffic safety through the Vision Zero initiative, in-hospital management remains crucial in determining RTA outcomes. Drawing on North American evidence suggesting improved survival at trauma centres, the Swedish healthcare system has increasingly emphasised trauma centralisation. However, comprehensive national data from Sweden are scarce. Given the country's unique demographic and geographic characteristics, including vast sparsely populated areas, direct comparisons with other Western systems are challenging. We analysed the epidemiology and risk factors for 30-day mortality among 95,954 RTA-related hospital admissions in Sweden between 2008 and 2021. Predictors included the ICD-based Injury Severity Score (ICISS), age, sex, Charlson Comorbidity Index (CCI), year of event, and hospital level. Mortality risk was modelled using explainable artificial intelligence (XAI) via Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP), alongside conventional multivariable logistic regression for comparison. The most influential predictors of 30-day mortality, in descending order, were ICISS, age, CCI, event year, hospital level, and sex. A clear trend toward centralisation was observed, with Level 1 hospitals admitting the most severely injured patients. However, after risk adjustment, the hospital level was not independently associated with 30-day mortality. The XAI model outperformed logistic regression in both discrimination and calibration, confirming these findings. This study represents a comprehensive national analysis of in-hospital outcomes following RTAs in Europe. ICISS, age, sex, and comorbidity influenced mortality risk, while overall survival improved over time. The assumption that trauma centralisation confers a universal survival advantage does not appear to hold in the Swedish context. These findings underscore the need to re-evaluate trauma system design under Scandinavian conditions-ensuring that timely access to hospital care is not compromised by centralisation.

Indexed as

Accidents, TrafficHospitalsWounds and InjuriesAdolescentAdultAgedFemaleHospitalizationHumansInjury Severity ScoreMaleMiddle AgedRisk FactorsSwedenTrauma CentersYoung Adult

Identifiers

PMID41272162
PMCPMC12638988

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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.