Evidence map›Paper›PMID 26101765›Full record

ArticleArchives of trauma research2015

Epidemiology of Urban Traffic Accident Victims Hospitalized More Than 24 Hours in a Level III Trauma Center, Kashan County, Iran, During 2012-2013.

Mehrdad Mahdian, Mojtaba Sehat, Mohammad Reza Fazel, Alireza Moraveji, Mahdi Mohammadzadeh

Abstract read
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Article in Archives of trauma research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. Injury epidemiology in Iran: a systematic review.Journal of injury & violence research · 2017
    Article
  13. The Burden of Road Traffic Injuries in Yazd Province - Iran.Bulletin of emergency and trauma · 2016
    Article
  14. Article
  15. Article
  16. 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

5 authors.

Mehrdad MahdianTrauma Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.
Mojtaba SehatTrauma Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.
Mohammad Reza FazelTrauma Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.
Alireza MoravejiTrauma Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.
Mahdi MohammadzadehTrauma Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrban traffic accidents are an extensively significant problem in small and busy towns in Iran. This study tried to explore the epidemiological pattern of urban traffic accidents in Kashan and Aran-Bidgol cities, Iran.

objectivesThis study aimed to assess various epidemiological factors affecting victims of trauma admitted to a main trauma center in Iran. PATIENTS AND

methodsDuring a retrospective study, data including age, sex, injury type and pattern, outcome, hospital stay and treatment expenditures regarding urban Road Traffic Accidents (RTAs) for one year (March 2012-March 2013) were obtained from the registry of trauma research center, emergency medical services and deputy of health of Kashan University of Medical Sciences. One-way ANOVA and chi-square tests were used to analyze data using SPSS version 16.0. P value < 0.05 was considered significant.

resultsA total of 1723 victims (82.6% male, sex ratio of almost 5:1) were considered in this study. Mortality rate in trauma cases hospitalized more than 24 hours during our study was 0.8%. Young motorcyclist men with the rate of more than 103 per 10000 were the most vulnerable group. The most common injury was head injury (73.6%) followed by lower limb injury (33.2%). A significant association was found between mechanism of injury and head, lower limb, multiple injuries and high risk age group.

conclusionsUrban RTAs are one of the most important problems in Kashan and Aran-Bidgol cities, which impose a great economic burden on health system. Motorcyclists are the most vulnerable victims and multiple trauma and head injury are seen among them extensively.

Indexed as

AccidentsEpidemiologyInjuryTraffic

Identifiers

PMID26101765
PMCPMC4475338

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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.