Evidence map›Paper›PMID 36705101›Full record

ArticleJNMA; journal of the Nepal Medical Association2022

Mechanical Injury among Medicolegal Cases in the Department of Emergency in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Sidarth Timsinha, Sudhir Raman Parajuli

Abstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 2022. 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

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

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

2 authors.

Sidarth TimsinhaDepartment of Forensic Medicine, Birat Medical College Teaching Hospital, Biratnagar, Morang, Nepal.
Sudhir Raman ParajuliDepartment of Forensic Medicine, Manipal College of Medical Sciences, Fulbari, Pokhara, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A medico-legal issue arises whenever an injured person visits a hospital. Therefore, all physicians who treat such patients have a legal duty to accurately document injuries as part of medical treatment. The study aimed to find out the prevalence of mechanical injury among medicolegal cases in the Department of Emergency in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among patients admitted to the Emergency Department of a tertiary centre from May 2018 to April 2020 after obtaining ethical approval from the Institutional Review Committee (Reference number: 356). Convenience sampling method was used among patients who met the eligibility criteria. All relevant data were extracted using hospital records. Point estimate and 95% Confidence Interval were calculated. Results: Out of 3486 medicolegal cases registered in the Department of Emergency, 856 (24.55%) (28.37-29.96 at 95% Confidence interval) were cases of mechanical injuries. Males 616 (71.96%) outnumbered females for all types of mechanical injuries. Road Traffic Accident 527 (61.56%) was the leading cause of injury and lacerations 351 (29.52%) were the most common pattern of injury. The majority 628 (73.36%) of the injuries were simple in nature. Conclusions: The prevalence of mechanical injuries among medicolegal cases was similar in our study compared to other studies done in similar settings. The majority of the injuries were caused by traffic accidents, which could have been prevented if a safe system approach to road safety was followed. Keywords: accidents; documentation; forensic medicine; injuries; Nepal.

Indexed as

Accidents, TrafficLacerationsCross-Sectional StudiesFemaleForensic MedicineHumansMaleTertiary Care Centers

Identifiers

PMID36705101
PMCPMC9795133

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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.