Evidence map›Paper›PMID 27722114›Full record

ArticleInternational journal of critical illness and injury science

Predicting outcome in traumatic brain injury: Sharing experience of pilot traumatic brain injury registry.

Ranabir Pal, Ashok Munivenkatappa, Amit Agrawal, Geetha R Menon, Sagar Galwankar, P Rama Mohan, S Satish Kumar, B V Subrahmanyam

Open access · greenAbstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Ranabir PalDepartment of Community Medicine, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India.
Ashok MunivenkatappaVDRL Project, National Institute of Epidemiology, ICMR, Chennai, Tamil Nadu, India.
Amit AgrawalDepartment of Neurosurgery, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
Geetha R MenonDepartment of Health Research (Ministry of Health and Family Welfare), Division of Non-Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Sagar GalwankarDepartment of Emergency Medicine, University of Florida, Jacksonville, Florida, USA.
P Rama MohanDepartment of Pharmacology, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
S Satish KumarDepartment of Emergency Medicine, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
B V SubrahmanyamDepartment of Forensic Medicine, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
Narayana Dental College and Hospital · INIndian Council of Medical Research · INInstitute of Medical Sciences · INNational Institute of Epidemiology · INUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA reliable prediction of outcome for the victims of traumatic brain injury (TBI) on admission is possible from concurrent data analysis from any systematic real-time registry.

objectiveTo determine the clinical relevance of the findings from our TBI registry to develop prognostic futuristic models with readily available traditional and novel predictors. MATERIALS AND

methodsProspectively collected data using predesigned pro forma were analyzed from the first phase of a trauma registry from a South Indian Trauma Centre, compatible with computerized management system at electronic data entry and web data entry interface on demographics, clinical, management, and discharge status. STATISTICAL ANALYSIS: On univariate analysis, the variables with

resultsFrom 337 cases, predominantly males from rural areas in their productive age, road traffic injuries accounted for two-thirds cases, one-fourths occurred during postmonsoon while two-wheeler was the most common prerequisite. Fifty percent of patients had moderate to severe brain injury; the most common finding was unconsciousness followed by vomiting, ear bleed, seizures, and traumatic amnesia. Fifteen percent required intracranial surgery. Patients with severe Glasgow coma scale score were 4.5 times likely to have the fatal outcome (

conclusionTBI registry helped us finding predictors of clinical relevance for the outcomes in victims of TBI in search of prognostic futuristic models in TBI victims.

Indexed as

AgeGlasgow coma scale scoreoral bleedregistryregression modelseasontraumatic brain injuryunivariate analysis

Identifiers

PMID27722114
PMCPMC5051055
OpenAlexW2519741206

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.