Evidence map›Paper›PMID 29997772›Full record

ArticleElectronic physician2018

Epidemiology of road traffic accidents in Rafsanjan city, Iran.

Leila Taravatmanesh, Seyyed Mohsen Mortazavi, Mohammad Reza Baneshi, Mojtaba Shirbeygi Poor, Arezoo Saeedifar, Farzaneh Zolala

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Electronic physician, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Review
  3. 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

6 authors.

Leila TaravatmaneshM.Sc. of Epidemiology, Department of Biostatistics and Epidemiology, School of Health, Kerman University of Medical Sciences, Kerman, Iran.
Seyyed Mohsen MortazaviMD, Head of Disaster Management and Emergency Response in Rafsanjan City, Rafsanjan University of Medical Science, Rafsanjan, Iran.
Mohammad Reza BaneshiPh.D. of Biostatistic, Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Mojtaba Shirbeygi PoorMD, Head of the Regional Center for Disaster Management and Emergency Response in Rafsanjan, Rafsanjan University of Medical Science, Rafsanjan, Iran.
Arezoo SaeedifarM.Sc. of Epidemiology, Department of Biostatistics and Epidemiology, School of Health, Kerman University of Medical Sciences, Kerman, Iran.
Farzaneh ZolalaPh.D. of Epidemiology, Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInjury is recognized as a major health problem in most high and low-income countries. Rafsanjan is considered as one of the accident-prone areas in Kerman province.

objectiveTo study the epidemiology of traffic accidents in the Rafsanjan city.

methodsThis cross-sectional study was conducted, by using the data from the Emergency Department (ED) of Aliebn Abitaleb Hospital in Rafsanjan city. The population included all people who had had a traffic accident in the city of Rafsanjan from March 21, 2014 through February 18, 2015. The sample included those who had been injured and transferred to the ED of Aliebn Abitaleb Hospital. Data were analyzed using Chi-square, independent-samples t-test, and logistic regression. SPSS software version 19 was used for data analysis. P< 0.05 was considered statistically significant.

resultsAge, gender and location of accident, had significant association with the number of mortalities (p=0.02), and other results of this study suggest that there was a significant relationship between the status of the injured and the gender (p<0.001), the accident location (p<0.001), and the type of injury (p<0.001).

conclusionThe rate of accidents in one year in Rafsanjan city was high. Moreover, young people and motorcyclists had most accidents. Teaching the laws and regulations to the people of the city, is the most effective method in reducing accidents and mortality.

Indexed as

EpidemiologyRafsanjanTraffic accident

Identifiers

PMID29997772
PMCPMC6033124

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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.