Evidence map›Paper›PMID 33102351›Full record

ArticleJournal of family medicine and primary care2020

The effect of 'THE MOTOR VEHICLES (AMENDMENT) ACT, 2019' on the clinico-epidemiological profile of road traffic accident patients presenting to a tertiary care trauma centre in Bhubaneswar.

Prakash K Sasmal, Chitta R Mohanty, Mantu Jain, Rakesh V Radhakrishnan, Sangeeta Sahoo, Vuppala S Krishna, Sunil K Doki, Ram Venkat Manoj K Dungala

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Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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4 · The record

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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

8 authors.

Prakash K SasmalDepartment of General Surgery, All India Institute of Medical Sciences, Bhubaneswar, India.
Chitta R MohantyDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, India.
Mantu JainDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar, India.
Rakesh V RadhakrishnanCollege of Nursing, All India Institute of Medical Sciences, Bhubaneswar, India.
Sangeeta SahooDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, India.
Vuppala S KrishnaDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, India.
Sunil K DokiDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar, India.
Ram Venkat Manoj K DungalaDepartment of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextRoad traffic accidents (RTA) are a foremost rising cause of morbidity and mortality in developing countries like India. The Government of India enacted a new motor vehicle amendment act (MVA) on September 1

aimsTo find out the early impact of "THE MOTOR VEHICLES (AMENDMENT) ACT, 2019". SETTINGS AND

designA retrospective observational study was performed during the time period July to October 2019 on RTA patients admitted to the Trauma and Emergency department. METHODS AND MATERIALS: Patients studied in two groups - One Pre MVA group ( STATISTICAL ANALYSIS USED: Statistical analysis was done by R version 3.6.1.

resultsThere is a 41% drop in RTA victims post MVA implementation. Polytrauma reduced (25% vs 45.5%) significantly (

conclusionsThe study reveals that there is a commendable reduction in the injury severity, violation of safety gears, alcohol use and rash driving following the implementation of MVA September 2019. Primary care and family physician can play a crucial role in creating public awareness about the personal safety measures, which will help in strengthening of this law to reduce the incidence of RTA and the associated mortality and morbidity.

Indexed as

Family physicianinjury severity scoremotor vehicle actroad traffic accidents

Identifiers

PMID33102351
PMCPMC7567252

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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.