The Significance of Injuries and Anatomical Patterns of Trauma in Pedestrian and Cyclist Fatalities and their Association with Motor Vehicle Collision Dynamics and Post-Collision Kinematics
Notice bibliographique
Résumé
Deaths from motor vehicle collisions (MVCs) are a major global health concern, with over 1.35 million fatalities reported annually by the United Nations. More than half involve pedestrians, cyclists, and motorcyclists. Post-mortem examinations by pathologists determine the cause of death and mechanisms of injury and play a significant role in the investigation of the deaths of vulnerable road users.\nThe purpose of this study was to understand the injury patterns sustained by pedestrians and cyclists fatally injured in motor vehicle impacts.\nThis study reviews the development of injury patterns described in the medical literature and identifies their limitations in the context of the current motor vehicle fleet, which includes various types of vehicles such as vans, sports utility, and pickup trucks.\nThe main objectives of this research were to determine injury patterns in pedestrians and cyclists killed in MVCs and compare them with the historical or “classical triads”. The study also aimed to investigate factors related to pedestrian and cyclist kinematics, MVC dynamics, and vehicle type, maneuver, and speed on injury patterns. Multivariate logistic regression models were developed to identify variables that were associated with specific serious to maximal injuries.\nData from 766 post-mortems done between 2013 and 2019 in Ontario were collected. There were 670 pedestrian fatalities and 96 cyclist fatalities. Distinct injury patterns emerged based on age groups, kinematics, vehicle type, vehicle maneuver, and speed. The findings highlighted variations in injury patterns between children, youth, adults, and the elderly, emphasizing the importance of considering age-specific factors when studying trauma.\nBased on the multivariate logistic regression models, recommendations have been made to assist pathologists, coroners, and police collision reconstructionists in their analysis of fatal pedestrian and cyclist-MVCs.\nOverall, this research contributes to a better understanding of the specific fatal injury patterns sustained by pedestrians and cyclists involved in MVCs. By considering collision dynamics, vehicle type, and other relevant factors, this study provides valuable insights for assisting MVC reconstruction and investigation, and postmortem assessment supporting future motor vehicle research and regulation in mitigating and preventing serious injuries.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».