Evidence map›Paper›PMID 39982059›Full record

Observational studyNeurosurgery2025

Clinical Characteristics and Outcomes of Traumatic Brain Injury in a High-Volume Tertiary Care Center in India: A Prospective Observational Cohort Study.

Moritz Steinruecke, Shalini Nair, Sara Venturini, Fotios Siannis, Peter J Hutchinson, Angelos Kolias, Mathew Joseph

Abstract readObservational Study
In one paragraph

Observational study in Neurosurgery, 2025. 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. Article
  3. Outcomes in Traumatic Brain Injury: Can Electroencephalography Predict the Unpredictable?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    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

7 authors.

Moritz SteinrueckeUniversity of Cambridge School of Clinical Medicine, Cambridge , UK.ORCID 0000-0003-1647-4481
Shalini NairDepartment of Neurological Sciences, Christian Medical College Vellore, Vellore , Tamil Nadu , India.
Sara VenturiniDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge , UK.
Fotios SiannisDepartment of Mathematics, National and Kapodistrian University of Athens, Athens , Greece.
Peter J HutchinsonDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge , UK.
Angelos KoliasDivision of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge , UK.
Mathew JosephDepartment of Neurological Sciences, Christian Medical College Vellore, Vellore , Tamil Nadu , India.

Funding

NIHR Global Health Research Group on Acquired Brain and Spine Injury
6 · The paper itself

Abstract

BACKGROUND AND

objectivesTraumatic brain injury (TBI) is a major public health challenge in India but there is a lack of high-quality data on its clinical characteristics and outcomes. We aimed to describe the TBI population of a tertiary care center in India, identify predictors of inpatient mortality, and assess the performance of existing prognostic tools.

methodsWe conducted a prospective observational cohort study of patients admitted to a high-volume tertiary care center in Vellore, India, after a TBI between 2013 and 2019.

resultsWe identified 3172 patients (2667 males, 84%) admitted after a TBI (median age = 34 years [IQR 23-48]). Two-wheeler road traffic accidents caused 2259 (71%) injuries, in which 13 (0.6%) patients were wearing a helmet. There were 174 (5%) inpatient deaths (median length of stay = 6 days [IQR 4-10]) and overall mortality (median follow-up = 6 months [IQR 3-9]) was 17% (n = 540). Age, Glasgow Coma Scale motor score, systolic blood pressure ≤90 mm Hg, and key computed tomography imaging features were independently associated with inpatient mortality. Existing prognostic models predicted inpatient mortality with good performance (International Mission for Prognosis and Analysis of Clinical Trials in TBI: Brier = 0.0876, area under the curve (AUC) = 83% [95% CI 79%-87%]; Rotterdam CT: Brier = 0.0890, AUC 79% [95% CI 75%-83%]), but showed poorer performance for post-discharge mortality (International Mission for Prognosis and Analysis of Clinical Trials in TBI: Brier = 0.134, AUC = 75% [95% CI 72%-78%]; Rotterdam CT: Brier = 0.145, AUC 66% [95% CI 63%-69%]).

conclusionIn a tertiary care center in India, we described a predominantly young male TBI population with a high contribution of 2-wheeler road traffic accidents and significant post-discharge mortality. Existing prognostic models showed poor performance when predicting which patients died after discharge. These findings should inform public health interventions to reduce the significant burden of TBI in India.

Indexed as

Brain Injuries, TraumaticAdultCohort StudiesFemaleGlasgow Coma ScaleHospital MortalityHumansIndiaMaleMiddle AgedPrognosisProspective StudiesTertiary Care CentersYoung AdultGlobal neurosurgeryIndiaMortalityOutcomePrognosticationTraumatic brain injury

Identifiers

PMID39982059
PMCPMC12221129

What OpenQuestion holds

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LicenceCC BY
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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.