Evidence map›Paper›PMID 31858000›Full record

ArticleBulletin of emergency and trauma2019

Five-Year Forecasting Deaths Caused by Traffic Accidents in Fars Province of Iran.

Mahnaz Yadollahi, Saeid Gholamzadeh

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of emergency and trauma, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Incidence and pattern of traumatic spine injury in a single level I trauma center of southern Iran.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2023
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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

2 authors at 2 institutions in 1 country.

Mahnaz YadollahiTrauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Saeid GholamzadehLegal Medicine Research Center, Legal medicine organization, Tehran, Iran.
Iranian Legal Medicine Organization · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of study was to conduct a time-based analysis to utilize the obtained knowledge for forecasting the trend of accidents in the future.

methodsThe present study, which was conducted as a cross-sectional research, investigated deaths from traffic accidents in Fars Province during a five-year period from 2013 to 2018. The pseudo-regression model of Spline was used to predict the increase in mortality rate by 2021.

resultsThe forecasted values indicated a decline in deaths from traffic accidents by 2021. A total of 8020 records of accidents leading to death were included in the study. The mean mortality rate from traffic accidents in the province was approximately estimated to be 33.7 per 100,000 populations. More than half of the people who died (52.36%) were in a car, 25.57% were motorcycle riders, and 19.93% were pedestrians. The highest rate of deaths was observed in the age group of 16 to 25 years old (21.5%). The data indicated a reduction in the rate of death among car riders and pedestrians and an increase in the number of deaths among motorcycle riders. The trend of deaths occurred outside the city had been increasing while the trend of deaths occurred inside the city had been decreasing.

conclusionThe present regulations are only able to reduce a small number of deaths each year. In order to achieve a downward trend in mortality with a steeper pace, it is necessary to design and implement more intelligent standards, not merely the stricter ones.

Indexed as

AccidentsHealth policyMortality trendPopulation ForecastTraffic

Identifiers

PMID31858000
PMCPMC6911725
OpenAlexW2989580595

What OpenQuestion holds

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LicenceCC BY
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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.