Evidence map›Paper›PMID 40419516›Full record

ArticleScientific reports2025

Factors influencing injury severity in three-wheeled motorized rickshaw and motorcycle collisions.

Zia Ur Rehman, Jiang Chaozhe, Emmanuel Kofi Adanu, Yahya Almarhabi, Arshad Jamal

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zia Ur RehmanSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Jiang ChaozheSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China. jiangchaozhe@swjtu.edu.cn.
Emmanuel Kofi AdanuDepartment of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, USA.
Yahya AlmarhabiDepartment of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Makkah, Saudi Arabia. yalmarhabi@kau.edu.sa.
Arshad JamalDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia. a.jamal@qu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crashes involving three-wheeler motorized rickshaws (3-WMR) and motorcycles are becoming a rising public health and socioeconomic problem in developing countries. While earlier studies have investigated safety-related issues for two, and four-wheelers, there exists a notable research gap to understanding the factors that contribute to the severity of injuries in involving 3-WMR collisions with motorcyclists. The current study aims to fill this gap by investigating the risk factors contributing to injury severity in such crashes, employing a random parameters multinomial logit model with heterogeneity in means and variance. The study conducted an empirical analysis using traffic crash data spanning three years (2019-2021) from RESCUE 1122 in Rawalpindi, Pakistan. The model outcomes demonstrate that major injuries (severe and fatal) in 3-WMR and motorcycle collisions are affected by numerous factors, including road features, driver characteristics, temporal factors and environmental factors. The study provides beneficial findings, emphasizing the significance of accounting for unobserved heterogeneity in the variables contributing to injury severity in 3-WMR and motorcycle collisions. Based on the findings of the study, policy recommendations are provided to help safety practitioners build more effective strategies to address the safety concerns regarding 3-WMR crashes with motorcycles in Pakistan and other regions with similar safety issues.

Indexed as

Accidents, TrafficMotorcyclesWounds and InjuriesAdolescentAdultFemaleHumansMaleMiddle AgedPakistanRisk FactorsYoung AdultInjury severityMotorcycleMultinomial logit modelRisk factorsThree-wheeler motorized rickshawsUnobserved heterogeneity

Identifiers

PMID40419516
PMCPMC12106683

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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.