Evidence map›Paper›PMID 26435824›Full record

ArticleElectronic physician2015

Prediction of trauma-specific death rates of pedestrians of Fars Province, Iran.

Maryam Akbari, Reza Tabrizi, Seyed Taghi Heydari, Eghbal Sekhavati, Mahmood Moosazadeh, Kamran Bagheri Lankarani

Open access · greenAbstract read
In one paragraph

Article in Electronic physician, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Relationship between religion and school students' road behavior in southern Iran.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2017
    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

6 authors at 1 institution in 1 country.

Maryam AkbariM.Sc. in Epidemiology, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Reza TabriziM.Sc. in Epidemiology, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Taghi HeydariAssistant Professor of Biostatistics, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Eghbal SekhavatiAssistant Professor of Biostatistics, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahmood MoosazadehAssistant Professor of Epidemiology, Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Kamran Bagheri LankaraniProfessor of Internal Medicine, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPedestrians are the most vulnerable group to accidents among road users. Due to the well-known concerns and complications of accidents involving pedestrians, the aim of this study was to identify the rate of such accidents for five-year period.

methodsWe analyzed all fatalities among pedestrians caused by traffic accidents during years of 2009-2013 in Fars Province in Iran. The study was a cross-sectional study in which logistic regression analysis was used to predict the death rate among pedestrians. Sensitivity analysis using the Monte Carlo method was used to increase the accuracy of the results. Then, we predicted the death rates for the years 2014-2018 predicted and compared the results with the actual data from the previous five-year period (2009-2013).

resultsDuring 2009-2013, 1723 out of 8689 (20.3%) of the people killed in traffic accidents were pedestrians. The death rate for male pedestrians in 2011 was estimated to be 10.86 per 100,000 (with an uncertainty interval of 95% giving a range of 9.85-12.05 per 100,000). Compared to the data for 2006, this represented a decrease of 20% (with a mean decrease of 4% per year). Based on these data, the death date in 2018n was projected to be 8.08 per 100,000 (with an uncertainty interval of 95% giving a range of 7.26-8.87). Similar data and analysis for women indicated that the reduction in the rate of fatalities has been smaller than that for men in recent years, i.e., 2.2% versus 4%.

conclusionAlthough great progress has been made in reducing traffic accidents, to date, the death rate is still high among pedestrians. It is essential to continue to find ways to reduce traffic accidents and the pedestrians' deaths associated with them, especially among the elderly, who make up a disproportionate fraction of the deaths.

Indexed as

Fars Provincemodeling death ratepedestrians

Identifiers

PMID26435824
PMCPMC4590560
OpenAlexW2332046962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.