Evidence map›Paper›PMID 41848896›Full record

ArticleUnfallchirurgie (Heidelberg, Germany)2026

[Why you should not drive home in the evening with a young man on a motorbike at the weekend in summer-Traffic epidemiology with the TraumaRegister DGU® : German Congress for Orthopedics and Trauma Surgery Science Slam 2025].

Rolf Lefering, Stefan Huber, Sebastian Imach

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In one paragraph

Article in Unfallchirurgie (Heidelberg, Germany), 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
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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

The trial behind it

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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

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

3 authors.

Rolf LeferingInstitut für Forschung in der Operativen Medizin (IFOM), Fakultät für Gesundheit, Universität Witten/Herdecke, Ostmerheimer Str. 200, 51109, Köln, Deutschland. Rolf.Lefering@uni-wh.de.
Stefan HuberAUC - Akademie der Unfallchirurgie GmbH, München, Deutschland.
Sebastian ImachKlinik für Orthopädie, Unfallchirurgie und Sporttraumatologie, Krankenhaus Köln-Merheim, Köln, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe TraumaRegister DGU® of the German Society for Trauma Surgery (TR-DGU) has been collecting data on seriously injured persons for decades. Based on a few key data points about the accident, far-reaching insights into accident epidemiology can be derived. The present evaluation refers to traffic accident victims, who account for about half of all seriously injured persons in the register.

methodFor a 10-year period (2015-2024) information on the accident victims (age, gender), the circumstances of the accident and the time of admission to hospital (date, time) was extracted from the TR-DGU. Only patients who were primarily admitted to and treated in a German trauma center and who met the criteria of the registry's population base were considered.

resultsThe analysis is based on 121,534 accident victims with an average age of 47.4 years and 71% were male. Car occupants were the largest subgroup (39%), followed by motorcyclists (25%), cyclists (22%) and pedestrians (10%). The proportion of male accident victims was almost always greater than the female proportion and in the 16-71 years age group it was more than twice as high. In relation to the German population 18-year-olds have the highest incidence with 40 per 100,000 per year. On weekends, 10-20% more people are involved in accidents and during the day the rate is highest in the late afternoon (4-6 p.m.). The number of accidents is about twice as high in the summer months as in winter, which is mainly due to 2‑wheeled vehicles. Other external factors such as a full moon or Friday the 13th have no effect on the number of serious injuries. With just a few details about the person, the time and the mechanism of traffic accident victims, it is possible to identify areas that lead to more accidents. These findings can also be effectively used for prevention purposes.

Indexed as

Accidents, TrafficAutomobile DrivingWounds and InjuriesAdolescentAdultAgedFemaleGermanyHumansMaleMiddle AgedRegistriesSeasonsYoung AdultRegistrySerious injuriesTime of dayTime of yearTraffic accidents

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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.