Abstract
Purpose:To systematically review the risk of permanent disability related to road traffic injuries(RTIs)and to determine the implications for future research regarding permanent impairment following road traffic crashes.Methods:We conducted this systematic review according to the preferred reporting items for systematic reviews and meta-analysis statement.An extended search of the literature was carried out in 4 major electronic databases for scientific research papers published from January 1980 to February 2020.Two teams include 2 reviewers each,screened independently the titles/abstracts,and after that,reviewed the full text of the included studies.The quality of the studies was assessed using the strengthening the reporting of observational studies in epidemiology(STROBE)checklist.A third reviewer was assessed any discrepancy and all data of included studies were extracted.Finally,the data were systematically analyzed,and the related data were interpreted.Results:Five out of 16 studies were evaluated as high-quality according to the STROBE checklist.Fifteen studies ranked the initial injuries according to the abbreviated injury scale 2005.Five studies reported the total risk of permanent medical impairment following RTIs which varied from 2％to 23％for car occupants and 2.8％to 46％for cyclists.Seven studies reported the risk of permanent medical impairment of the different body regions.Eleven studies stated the most common body region to develop permanent impairment,of which 6 studies demonstrated that injuries of the cervical spine and neck were at the highest risk of becoming permanent injured.Conclusion:The finding of this review revealed the necessity of providing a globally validated method to evaluate permanent medical impairment following RTIs across the world.This would facilitate decision-making about traffic injuries and efficient management to reduce the financial and psychological bur-dens for individuals and communities.
基金项目
Sina Trauma and Surgery Research Center,Tehran University of Medical Sciences Program(98-01-38-41758)
NETL
NSTL
万方数据