Evidence map›Paper›PMID 38685835›Full record

ArticleArchives of Iranian medicine2024

The Global Road Traffic Death Rate and Human Development Index from 2000 to 2019: A Trend Analysis.

Mohammad Sayari, Mohammad Reza Rahmanian Haghighi, Kamran Bagheri Lankarani, Sulmaz Ghahramani, Behnam Honarvar

Abstract read
In one paragraph

Article in Archives of Iranian medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Mohammad SayariHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-6404-3961
Mohammad Reza Rahmanian HaghighiHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0003-3820-4685
Kamran Bagheri LankaraniHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-7524-9017
Sulmaz GhahramaniHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-4161-5146
Behnam HonarvarHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0002-1081-5778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies on the association between the human development index (HDI) and road traffic death rate (RTDR) merely focus on developed countries, not reflecting the relationship between the HDI components and RTDR in a time-trend analysis. Accordingly, this study analyzes the trends of RTDR and their association with the HDI and its components from 2000 to 2019.

methodsThe RTDR data of 154 countries were imported into the unconditional latent growth model (LGM) to assess the RTDR trends. The impact of the HDI and its components (viz., education, income, and life expectancy [LE viz]) on the trajectory of RTDR was also evaluated using the conditional LGM.

resultsThe results of the unconditional LGM indicated an overall decreasing trend in RTDR. The conditional LGM results revealed the negative effect of the HDI and its components on the model parameters. The findings of random forests indicated that education and LE were the most crucial variables.

conclusionOverall, this study emphasizes the significance of HDI and its components, particularly education and LE, in lowering the number of traffic fatalities. In this sense, improving formal education and LE could be one of the main policies that policymakers could consider to reduce RTDR.

Indexed as

Accidents, TrafficEducational StatusGlobal HealthHuman DevelopmentHumansLife ExpectancyEducationHuman development indexIncomeLife expectancyRoad traffic death rate

Identifiers

PMID38685835
PMCPMC11097312

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