Evidence map›Paper›PMID 24289458›Full record

ArticleBMC public health2013

Neglected increases in rural road traffic mortality in China: findings based on health data from 2005 to 2010.

Yuanxiu Huang, Danping Tian, Lin Gao, Li Li, Xin Deng, Keita Mamady, Guoqing Hu

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Risk Factors for Road-Traffic Injuries Associated with E-Bike: Case-Control and Case-Crossover Study.International journal of environmental research and public health · 2022
    Article
  5. Article
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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

7 authors.

Yuanxiu HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, China. huguoqing009@gmail.com.
Danping Tian
Lin Gao
Li Li
Xin Deng
Keita Mamady
Guoqing Hu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent changes in rural road traffic mortality have not been examined in China although rural residents were reported as having greater risk of road traffic injury than urban residents. We aimed to examine changes in urban and rural road traffic mortality rates between 2005 and 2010 in China.

methodsMortality rates came from the publicly available health data of the Ministry of Health-Vital Registration System that is based on a national representative sample (about 10% of total population), including 41 surveillance points in urban areas (15 large cities and 21 middle/small cities) and 85 surveillance points in rural areas. The causes of deaths were coded using the Tenth International Classification of Diseases (ICD-10). Linear regression was used to test the statistical significance of changes in mortality rates. We calculated the percent change in rates to quantify the change between 2005 and 2010, which was calculated as regression coefficient * 100 * 5 divided by the rate in 2005.

resultsIn rural areas, road traffic mortality increased by 70%, changing from 13.3 per 100,000 population in 2005 to 22.7 per 100,000 population in 2010. In contrast, the road traffic mortality merely increased by 4% in the study time period, rising from 13.1 to 13.9 per 100,000 population in urban areas. Both the increases in road traffic mortality from motor vehicle crashes and from non-motor vehicle crashes were larger in rural areas than in urban areas (106% vs. 4%; 29% vs. 3%).

conclusionThe tremendous increase in road traffic mortality in rural areas calls for urgent actions to reduce road traffic injuries to motor vehicle occupants, motorcyclists, bicyclists and pedestrians in in rural areas.

Indexed as

Cause of DeathMotor VehiclesAccidents, TrafficAdultChinaDatabases, FactualFemaleHumansLinear ModelsMaleMiddle AgedRetrospective StudiesRural PopulationSurvival AnalysisUrban PopulationWounds and Injuries

Identifiers

PMID24289458
PMCPMC4219524

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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.