Evidence map›Paper›PMID 33309475›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2021

Influence of road types on road traffic accidents in northern Guizhou Province, China.

Tian-Jing Sun, Si-Jia Liu, Fang-Ke Xie, Xiao-Fei Huang, Jian-Xiu Tao, Yuan-Lan Lu, Tian-Xi Zhang, An-Yong Yu

Abstract read
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Road traffic mortality in Zunyi city, China: A 10 - year data analysis (2013-2022).Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025
    Article
  3. A study of the impact of traffic investment on traffic fatalities in China, 2004 - 2020.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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

8 authors.

Tian-Jing SunDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Si-Jia LiuDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Fang-Ke XieDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Xiao-Fei HuangDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Jian-Xiu TaoDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Yuan-Lan LuDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
Tian-Xi ZhangDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China.
An-Yong YuDepartment of Emergency, the Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, Guizhou Province, China. Electronic address: anyongyu750811@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe increasing number of deaths due to road traffic accidents (RTAs) has attracted global attention. However, the influence of road types is rarely considered in the study of RTAs. This study evaluates the influence of different road types in RTAs in northern Guizhou to provide a basis for the formulation of evidence-based policies and measures.

methodsWe obtained the data from the Zunyi Traffic Management Data Platform for the years 2009-2018. The mortality rates of RTAs were calculated. Descriptive methods and Chi-square tests were used to analyze the characteristics of road traffic collisions on different road types. We also examined the associations between the mortality rate per 10,000 vehicles and the growth of per capital gross domestic product (GDP) with Spearman's rank correlation analysis. According to the passing volume and the infrastructure, we defined different types of roads, like administrative road, functional road, general urban road and urban expressway.

resultsIn 2012, the traffic mortality rate of administrative roads was 8.9 per 100,000 people, and the mortality rate of functional roads was 7.4 per 100,000 people, which decreased in 2018 to 6.1 deaths per 100,000 people and 5.2 deaths per 100,000 people, respectively. The mortality rate per 10,000 vehicles reached the highest level in 2011 (28.8 per 10,000 vehicles and 22.5 per 10,000 vehicles on administrative and functional roads, respectively). The death rate of county roads was the highest among administrative roads (χ

conclusionAlthough our research shows that RTAs in northern Guizhou have steadily declined in recent years, the range of decline is relatively small. Many measures and sustainable efforts are needed to control road traffic death and accelerate the progress in road traffic safety in northern Guizhou.

Indexed as

Accidents, TrafficChinaEnvironment DesignHumansTime FactorsWounds and InjuriesInjury preventionRoad traffic accidenceRoad typesTreatment

Identifiers

PMID33309475
PMCPMC7878445

What OpenQuestion holds

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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.