Evidence map›Paper›PMID 40225470›Full record

ArticleCureus2025

Factors Influencing Multi-vehicle Collisions Following Sudden Fatal Health Problems in Drivers.

Hitomi Kataoka, Masahito Hitosugi, Arisa Takeda, Marin Takaso, Mineko Baba, Mami Nakamura

Abstract read
In one paragraph

Article in Cureus, 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.

Hitomi KataokaDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, JPN.
Masahito HitosugiDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, JPN.
Arisa TakedaDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, JPN.
Marin TakasoDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, JPN.
Mineko BabaCenter of Integrated Medical Research, Keio University School of Medicine, Tokyo, JPN.
Mami NakamuraDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo prevent motor vehicle collisions caused by drivers' health problems, proactive safety measures against impaired driving should be promoted. We assessed the status of both motor vehicles and drivers immediately after sudden and fatal changes in the health of motor vehicle drivers. We also evaluated the factors contributing to multi-vehicle collisions where several people were injured or killed.

methodsFrom 70 forensic autopsy cases performed between 1998 and 2023, we found 68 cases in which a vehicle collided with something after the driver experienced a sudden and fatal change in their health. Data about both drivers and vehicles were analyzed.

resultsHeart disease was the most common cause of death (52 drivers), followed by aortic disease (seven) and cerebrovascular disease (five). In total, 25 drivers collided with objects at ≥40 km/hour, and 35 collided at <40 km/hour; 17 drivers collided with other vehicles, and 51 with something other than a vehicle. Multivariable logistic regression analysis suggested that maneuvering forward and to the left (toward the side of the road) rather than straight ahead was a significant predictive factor for avoiding collision with other vehicles (odds ratio of 0.026).

conclusionThe findings from our study aim to enhance the development of driver monitoring systems and pre-crash safety technologies, with the ultimate goal of reducing the number of casualties in motor vehicle collisions.

Indexed as

drivingforensic autopsymotor vehicle collisionpre-crash technologysudden death

Identifiers

PMID40225470
PMCPMC11990717

What OpenQuestion holds

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LicenceCC BY
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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.