Evidence map›Paper›PMID 40485790›Full record

ArticleAsian journal of neurosurgery2025

Predicting Factors Associated with In-hospital Mortality in Traumatic Brain Injury.

Pejman Hamouzadeh, Vali Baigi, Vafa Rahimi-Movaghar, Mohammadreza Zafarghandi, Payman Salamati

Abstract read
In one paragraph

Article in Asian journal of neurosurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Pejman HamouzadehSouth Tehran Health Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-7101-3755
Vali BaigiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-1882-7340
Vafa Rahimi-MovagharSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-7347-8767
Mohammadreza ZafarghandiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-5993-0830
Payman SalamatiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-9313-3977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The accurate identification of predictors of mortality is of utmost importance in risk stratification, as it empowers health care teams to efficiently allocate resources and interventions to patients who are at a higher risk. Our objective was to investigate the factors linked to in-hospital mortality in patients who have suffered a traumatic brain injury (TBI). Materials and Methods: This study employed a retrospective design, utilizing data from the National Trauma Registry of Iran spanning September 17, 2016, to July 31, 2022. The study included TBI patients admitted to participating hospitals with a hospital stay exceeding 24 hours, those who died during hospitalization, or those transferred from other facilities. TBI cases were identified using specific International Classification of Diseases, Tenth Revision codes. The study incorporated various variables, including baseline characteristics such as age (categorized into pediatric, adult, and geriatric groups), gender, trauma mechanism, and mode of transportation. Clinical characteristics considered included the Glasgow coma scale (GCS), injury severity score (ISS), types of injuries sustained, interventions performed, and vital signs. The primary outcome was mortality following hospital admission. Results: The study included 874 patients, and the observed mortality rate was 12.2%. Road traffic crashes were identified as the leading cause of TBI, accounting for 72.5% of the cases. Utilizing multiple logistic regression analysis, the study confirmed that older age, severe GCS score, tracheostomy, and abnormal oxygen saturation were significant predictors of mortality. Conclusion: The findings of this study demonstrate that older age, lower GCS scores (severe TBI), tracheostomy, and abnormal oxygen saturation are significant predictors of mortality in patients with TBI. These results emphasize the significance of incorporating age, neurological status, and respiratory function into the assessment of prognosis and mortality risk in TBI patients. By considering these factors, health care professionals can better evaluate the potential outcomes and allocate appropriate care for TBI patients.

Indexed as

in-hospital mortalitypredictiontrauma Registrytraumatic brain injury

Identifiers

PMID40485790
PMCPMC12136943

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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.