Evidence map›Paper›PMID 33748493›Full record

ArticleHeliyon2021

Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh.

Subarna Roy, Mohammad Delwer Hossain Hawlader, Mohammad Hayatun Nabi, Promit Ananyo Chakraborty, Sanjana Zaman, Mohammad Morshad Alam

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  5. Factors associated with road traffic injury in a high-risk zone of Bangladesh: a mixed-method study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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  15. Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan.International journal of environmental research and public health · 2022
    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 3 institutions in 2 countries.

Subarna RoyDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh.
Mohammad Hayatun NabiDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh.
Promit Ananyo ChakrabortyDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh.
Sanjana ZamanDepartment of Public Health, Daffodil International University, Dhaka, 1207, Bangladesh.
Mohammad Morshad AlamDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh.
North South University · BDDaffodil International University · BDUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic injuries (RTIs) are one of the key public health issues worldwide causing 1.3 million deaths every year. This study aimed to determine the patterns of injuries due to road traffic accidents (RTAs), the severity of injuries, and factors associated with injury severity. METHODOLOGY: A cross-sectional study was conducted among RTA victims, who attended two large tertiary care hospitals located inside the Dhaka metropolitan area, through structured interview between 28 January and 22 March 2020.

resultsAmong 375 RTI patients, a total of 1390 injuries were recorded among interviewed patients, yielding a mean of 3.7 injuries per patient. The most frequently injured systems were external (n = 351), lower limb (n = 235), head and neck (n = 151), and face (n = 150). The mean ISS were 20.96 ± 12.027 with a maximum of 65 and a minimum of 4. Among patients, 87 (23.20%) had a severe injury, and 37 (9.87%) patients were critically injured. A statistically significant variation in ISS was observed in ANOVA among various categories of age, education, occupation, and purpose of going outside, vehicle type and fitness, accident type, road type, times required in hospitalization, and death history (p < 0.05).

conclusionsOur study has revealed several important findings which will help stakeholders and policymakers devise better policies to reduce RTA and RTA related injuries in Bangladesh.

Indexed as

BangladeshInjury patternInjury severityRoad traffic injury

Identifiers

PMID33748493
PMCPMC7970138
OpenAlexW3135395668

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.