Evidence map›Paper›PMID 41295594›Full record

ArticleScience progress

Biomechanical response characteristics of pedestrian brain tissues in vehicle-to-pedestrian crashes: Analysis based on head model of the 50th percentile Chinese male.

Yu Shu, Yongduo Sun, Ying Lu, Yufa Liu

Abstract read
In one paragraph

Article in Science progress. 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

4 authors.

Yu ShuDepartment of Neurology, The Fourth People's Hospital of Zhenjiang, Zhenjiang, China.ORCID 0000-0001-9844-6024
Yongduo SunSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.ORCID 0009-0000-8617-3612
Ying LuSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.ORCID 0000-0003-3292-9976
Yufa LiuSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.ORCID 0000-0003-4303-7893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are several factors that influence the mechanisms underlying human injuries in vehicle-to-pedestrian crashes (VTPCs). Traditional multibody system (MBS) models can simulate the entire VTPC process; however, they cannot fully and accurately assess the degree of injury to each part of the head. Therefore, a finite element (FE) model of the head with a complete brain structure is developed based on the 50th-percentile Chinese male data. First, the complete kinematic response of pedestrians in a VTPC is simulated using the MBS model, and the head kinematic response parameters that are most related to pedestrian injury are explored. An FE of the head model is subsequently established based on computed tomography (CT) and magnetic resonance imaging (MRI) data from a 50th-percentile Chinese male. Head-injury-related parameters are input into the head FE model, and orthogonal experiments are designed to analyze the head-to-windshield impact. The results show that impact velocity, position, and angle strongly affect the biological injury parameters of the head. These findings reveal the mechanisms of head injuries in pedestrians in VTPCs and the biomechanical dynamic response characteristics of the main parts of the head.

Indexed as

Accidents, TrafficBrainCraniocerebral TraumaEast Asian PeopleHeadPedestriansAdultBiomechanical PhenomenaChinaFinite Element AnalysisHumansMagnetic Resonance ImagingMaleTomography, X-Ray Computedfinite elementhead injuriespedestrian safetyVehicle-to-pedestrian crash

Identifiers

PMID41295594
PMCPMC12657790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.