Evidence map›Paper›PMID 38947660›Full record

ArticleCureus2024

Profile of Mortal Injuries in Vehicular Accidents: An Autopsy-Based Study.

Ashok Jiwane, Shailesh Raut, Harshal R Thube, Mandar Sane, Manish Shrigiriwar

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Road traffic accident autopsy cases: Injury pattern and alcohol use.Journal of family medicine and primary care · 2025
    Article
  3. 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.

Ashok JiwaneForensic Medicine, All India Institute of Medical Sciences (AIIMS) Nagpur, Nagpur, IND.
Shailesh RautForensic Medicine, All India Institute of Medical Sciences (AIIMS) Nagpur, Nagpur, IND.
Harshal R ThubeForensic Medicine, All India Institute of Medical Sciences (AIIMS) Nagpur, Nagpur, IND.
Mandar SaneForensic Medicine, All India Institute of Medical Sciences (AIIMS) Nagpur, Nagpur, IND.
Manish ShrigiriwarForensic Medicine, All India Institute of Medical Sciences (AIIMS) Nagpur, Nagpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background It is crucial to analyze the trends of fatal injuries among pedestrians, passengers, motorcycle riders, and drivers of three- and four-wheelers in traffic accidents. Objective To ascertain the trend of fatal injuries to the head, chest, and abdomen across different victim categories in vehicular accidents. Materials and methods An autopsy-based prospective study was carried out in the mortuary of a rural tertiary care hospital. A total of 108 fatal cases of vehicular accidents were taken into consideration. All natural and unnatural deaths, other than those stemming from vehicle crashes, were excluded from this study; only the victims of fatal vehicular accidents were included. Results Males outnumbered female victims by 8.8:1. The age range of 41-60 years was the most affected (38.9%). The greatest number of victims (17, or 15.8%) were male motorcycle riders in the range of 21-40 years. Most vehicular mishaps (61; 56.5%) occurred during the evening. The most frequent injury pattern reported was head injuries (53.4%). Conclusions Motorcycle riders constituted the most severely injured victim category in a vehicular accident. Most mishaps occurred in the dark because of inadequate lighting or bad road conditions in rural areas. Furthermore, the most frequently occurring type of injury was an injury to the head, which may be an outcome of riders' lack of compliance with the mandatory helmet-use policy.

Indexed as

autopsyhead injurymotorcycle riderthoracoabdominal injuriesvehicular accident

Identifiers

PMID38947660
PMCPMC11214720

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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.