Evidence map›Paper›PMID 38061929›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2025

Road traffic mortality in Zunyi city, China: A 10 - year data analysis (2013-2022).

Tian-Jing Sun, Xiao-Fei Huang, Fang-Ke Xie, Ji Zhang, Xu-Heng Jiang, An-Yong Yu

Abstract read
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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.

Tian-Jing SunDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China.
Xiao-Fei HuangDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China.
Fang-Ke XieDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China.
Ji ZhangDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China.
Xu-Heng JiangDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China.
An-Yong YuDepartment of Emergency, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou province, China. Electronic address: anyongyu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to examine the pattern of motorization and the mortality rate related to road traffic crashes in Zunyi (a city in northern Guizhou province of China) from 2013 to 2022, and to identify the epidemiological characteristics of these crashes with to provide insights that could help improve road safety.

methodsData were obtained from the Zunyi traffic management data platform, and the mortality rates were calculated. We deployed various analytical methods, including descriptive analysis, Chi-square test or Fisher's exact test for categorical variables, circular distribution map analysis, and Rayleigh test to characterize the traits of road traffic crashes in the region.

resultsDuring the 10-year study period, 7488 people died due to road traffic accidents, with males accounting for 70.4% and females 29.6% (χ

conclusionAlthough the number of road traffic accidents in Zunyi has decreased, there are still some critical issues that need to be addressed, particularly for vulnerable road users and unlicensed drivers. Our results highlight the need for targeted interventions to address the specific risk factors of road traffic crashes, particularly those affecting vulnerable road users and drivers without sufficient experience or license.

Indexed as

Accidents, TrafficAdolescentAdultAgedChildChinaFemaleHumansMaleMiddle AgedYoung AdultEpidemiologicalRoad safetyRoad traffic crashVulnerable road users

Identifiers

PMID38061929
PMCPMC11973662

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LicenceCC BY-NC-ND
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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.