Epidemiology of traumatic brain injury in South Asia: A Systematic Review
Hasan, S.; Purba, S. C.; Hannan, R.; Hasan, M. E.; Shithi, F.; Al Amin, K. M. Y.; Mrida, M. M.; Imran, J. A.
Show abstract
BackgroundTraumatic brain injury (TBI) is a serious global health problem contributing significantly to disability and death. No systematic review existed on epidemiology of TBI in South Asia, where accurate data were essential for planning healthcare policy and injury prevention programs. MethodsThis systematic review adhered to PRISMA guideline and received registration from PROSPERO (CRD42022364511). This review included observational from 1 January 1950 to 28 December 2024. A systematic search was performed on PubMed, Scopus, and Google Scholar and included studies fulfilling predetermined criteria. The methodological quality of the included studies was evaluated by Methodological Evaluation of Observational Research (MORE) checklist and result were presented as narrative synthesis. FindingsAnalysis of 130 studies reported a high incidence of TBI in South Asia primarily from road traffic accidents (RTAs). Prevalence ranged from 8.4% to 95.9%, with elevated case fatality and mortality rates. RTAs, falls and assaults were the leading cause of severe TBI. Adult males aged 21-30 years showed highest risk. ConclusionThe results highlighted urgent necessity for standardized case definitions, improved data collection, and strengthened healthcare capacity in South Asia. Further research is required to understand long-term consequences and guide evidence-based public health responses.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mortality and outcomes after decompressive craniectomy in children with severe traumatic brain injury 95%
- Natural Progression of Routine Laboratory Markers following Spinal Trauma: A Longitudinal, Multi-Cohort Study 93%
- Characterization of cognitive-motor function in women who have experienced intimate partner violence-related brain injury 92%
Similar papers in this journal
- Serum fibrinogen level and fibrinogen administration in patients with traumatic brain injury: a systematic review and meta-analysis protocol 96%
- Community Support for Injured Patients: A Scoping Review and Narrative Synthesis 94%
- Upregulation of interleukin-1β and interleukin-18 in traumatic brain injury patients and their potential as biomarkers 93%
Similar papers in this journal
- Personal protective equipment for reducing the risk of COVID-19 infection among healthcare workers involved in emergency trauma surgery during the pandemic: a systematic review protocol 91%
- The Use of Machine Learning in Occupational Risk Communication for Healthcare Workers – Protocol for scoping review 91%
- A mixed methods study protocol to develop and pilot a Competency Assessment Tool to support therapists in the care of patients with blunt CHest trauma (CATCh Study) 91%
Similar papers in this journal
- Behavioral Effects in Disorders of Consciousness Following Transcranial Direct Current Stimulation: A Systematic Review and Individual Patient Data Meta-analysis of Randomized Clinical Trials 92%
- Longitudinal Assessment of Glymphatic Changes Following Mild Traumatic Brain Injury: Insights from PVS burden and DTI-ALPS Imaging 92%
- Knowledge, Attitudes, and Practices of People living with SCI towards COVID-19 and their Psychological State during In-patient Rehabilitation in Bangladesh 91%
Similar papers in this journal
- Rehabilitation needs and mortality associated with the Covid-19 pandemic: a population-based study of all hospitalised and home-healthcare individuals in a Swedish healthcare region 90%
- A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19 89%
- Neurological and psychiatric presentations associated with human monkeypox virus infection: a systematic review and meta-analysis 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.