Global trends and psychosocial effects of traumatic brain injury: A bibliometric and machine learning analysis

Traumatic brain injury (TBI) is particularly common in low- and middle-income countries, disproportionately affecting youth. While around 80% of TBI cases are classified as mild, even these can lead to disabling symptoms. This study involved a comprehensive search for relevant articles published between 1934 and 2024 across multiple databases, utilizing specific keywords for data collection. Bibliometric analyses were conducted using R and VOSviewer tools to evaluate the literature. The analysis included scientific and machine learning evaluations of TBI's pathophysiology, prognosis, and consequences, such as cognitive, behavioral, and physical outcomes, as well as therapeutic interventions and rehabilitation strategies. The findings underscore the need for increased attention to the psychosocial consequences of TBI. Evidence-based research can guide efforts to enhance the quality of life for both patients and caregivers. To improve therapeutic and rehabilitation options for TBI patients, collaborative efforts are essential to support ongoing research in this area. By focusing on the multidimensional effects of TBI, we can better address the needs of individuals living with the long-term consequences of this condition.