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Bicycle injuries: a systematic review for forensic evaluation

毒物控制 伤害预防 撞车 职业安全与健康 医学 人为因素与人体工程学 运输工程 自杀预防 法律工程学 医疗急救 计算机科学 工程类 病理 程序设计语言
作者
Elena Giovannini,Simone Santelli,Guido Pelletti,Maria Paola Bonasoni,Mattia Innocenti,Susi Pelotti,Paolo Fais
出处
期刊:Forensic Science International [Elsevier]
卷期号:359: 112027-112027
标识
DOI:10.1016/j.forsciint.2024.112027
摘要

Bicycles are employed as means of transportation across various age groups, from young students to the elderly, for work, education, health, and leisure trips. Despite not achieving high speeds, bicyclists remain vulnerable to severe and even fatal injuries when they are involved in traffic accidents. Although the rising awareness of ecological issues and traffic law enforcement mean that cyclists are increasingly susceptible to road traffic crashes and injuries. Injuries resulting from a traffic accident involving cyclists can show distinct and specific characteristics depending on the manner of occurrence. The aim of this study is to provide a systematic review of the literature on injuries sustained in cyclists involved in road accidents describing and analysing elements useful for forensic assessment. The literature search was performed using PubMed, Scopus, and Web of Science from January 1970 to March 2023. Eligible studies have investigated issues of interest to forensic medicine about traffic accidents involving bicycles. A total of 128 studies satisfied the inclusion criteria and were categorized and analyzed according to the anatomical regions of the body affected (head, neck, thoraco-abdominal, and limb injuries), and the assessment of lesions in reconstruction of the bicycle accident was examined and discussed. This review highlights that injuries resulting from a traffic accident involving cyclists can show distinct and specific characteristics depending on the manner of occurrence and the energy levels involved in the crash. The assessment of injuries offers valuable insights that integrated with circumstantial and engineering data perform the reconstruction of accident dynamics.
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