Evidence map›Paper›PMID 27695230›Full record

ArticleJournal of neurosciences in rural practice

Epidemiology, clinical characteristics and outcomes of traumatic brain injury: Evidences from integrated level 1 trauma center in India.

Vineet Kumar Kamal, Deepak Agrawal, Ravindra Mohan Pandey

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Article in Journal of neurosciences in rural practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Vineet Kumar KamalDepartment of Biostatistics, JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Deepak AgrawalDepartment of Neurosurgery, JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Ravindra Mohan PandeyDepartment of Biostatistics, JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraumatic brain injury (TBI) is a leading cause of mortality, morbidity, disability, and socioeconomic losses in the Indian subcontinent. However, for policymaking and research, there is a lack of reliable and larger data in our settings. AIMS AND

objectivesTo evaluate and describe the epidemiological, clinical characteristics, and outcomes of patients with TBI in a Level 1 Trauma Center in India. MATERIALS AND

methodsIn this retrospective study, all patients with moderate or severe TBI, based on emergency department Glasgow Coma Scale, admitted to neurosurgery Intensive Care Unit (ICU) during May 2010-July 2012 were evaluated to provide detailed information on TBI-related variables and outcomes using descriptive statistics.

resultsAmong the 1527 patients with moderate or severe TBI patients with mean age 32.15 ± 16.76 years (range: 1-90) and male:female ratio 6.5:1, 1281 (83.89%) had severe TBI. The majority of cases took place in the age group of 21-40 years (50.24%) with the most common mode of injury as road traffic accidents (RTAs) (64.96%). Surgical intervention (craniotomy) was done in 49.12% of patients. About 34.58% (

conclusionsThis is the first study of its kind from the Indian subcontinent that gives data on the admission characteristics, mortality, and 6 months outcome of such patients. Most of the injuries occurred due to RTAs, more common among the economic productive age groups and mostly in males with a high rate of mortality and unfavorable outcome.

Indexed as

EpidemiologyGlasgow Outcome Scalemortalityoutcometraumatic brain injury

Identifiers

PMID27695230
PMCPMC5006462

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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.