Evidence map›Paper›PMID 40384821›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Epidemiological Profile of the Victims Involved in Road Traffic Accidents (RTA) and ICD-10 Classification Attending an Emergency Department: A Descriptive Study.

Surendra Babu Darivemula, Sayeda Misbah Jabeen, Sai Revanth A Surapaneni, Sakshi Piyush Rastogi, Harika Salodi, S Lakshmi Srujana, Nikhila Seelam, Sasidharan Shiga, S Karthik

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. 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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Surendra Babu DarivemulaDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Sayeda Misbah JabeenDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Sai Revanth A SurapaneniDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Sakshi Piyush RastogiDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Harika SalodiDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
S Lakshmi SrujanaDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Nikhila SeelamDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
Sasidharan ShigaDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.
S KarthikDepartment of Community Medicine, ESIC Medical College, Sananth Nagar, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Road traffic injuries are the leading cause of death for children and young adults aged 5-29 years. They cause approximately 1.3 million deaths every year, with 20 to 50 million more people suffering nonfatal injuries and many incurring a disability as a result of their injury. A retrospective record-based descriptive study was performed to analyze the epidemiological profile of the patients attending with road traffic accidents (RTA) to emergency/casualty department in a tertiary care hospital. The purposive sample from the last 7 months with those affected from RTA cases came to casualty and undergone treatment during the study duration and the exclusion criteria were brought dead patients. Out of 397 victims, 309 (77.8%) were male and 88 (22.2%) were female and mean age with SD 37.19 ± 13.9 years. Majority 143 (36.0%) had self-fall, 64 (16.1%) 2-wheeler vs pedestrian, 63 (15.9%) 2-wheelers vs 4-wheeler, 55 (13.9%) under 2-wheelers vs 2-wheeler. Majority were happened on Saturday 60 (15.1%), Sundays 71 (17.9%) and the rest on an average of 50 incidents in a day; out of them, the incident happened at evening 98 (24.7%) night 136 (34.2%) morning 109 (27.5%), and in the afternoon time 54 (13.6%), respectively. Accidents have male predominance, with more victims from adults and middle age 21-40 years. Most common category of the victim was motorcycle rider, followed by pedestrians, and as per ICD-10 classification, the common mechanism of incident happened was motorcycle rider noncollision transport accident (Code: V28).

Indexed as

Descriptive studyemergencyinjuriesroad traffic accidents

Identifiers

PMID40384821
PMCPMC12080912

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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.