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Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Updated: May 1, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

Extrication time prediction tool.

Tim Nutbeam¹, Rob Fenwick², Charles Hobson³

¹The Emergency Department, Derriford Hospital Plymouth, UK.

Emergency Medicine Journal : EMJ

|April 19, 2014

Summary

This summary is machine-generated.

Predicting extrication time after a motor vehicle collision (MVC) is crucial. This study identified key factors like physical obstructions and trapped patients that increase time, while rapid access and vehicle rollovers decrease it.

Keywords:

Prehospital Care, Advanced Practitioner Prehospital Care, Clinical Management Prehospital Care, Despatch Trauma, Research

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Area of Science:

Emergency Medicine
Trauma Care
Pre-hospital Care

Background:

Motor vehicle collisions (MVCs) frequently necessitate patient extrication.
Limited data exists on the duration of extrication and its influencing factors.

Purpose of the Study:

To develop a predictive tool for estimating patient extrication time from MVCs.
Identify critical factors impacting extrication duration.

Main Methods:

Prospective, observational study conducted in a metropolitan fire service area.
Expert identification of potential predictive factors for extrication time.
Step-down multiple regression analysis to determine significant contributing factors.

Main Results:

Physical obstruction (10 min), medically trapped patients (10 min/patient), and physically trapped patients (7 min) significantly increased extrication time.
Rapid access (-7 min) and vehicles on their roof (-12 min) reduced extrication time.
All times were relative to a baseline of 8 min.

Conclusions:

A tool has been developed to predict extrication time for patients involved in MVCs.
Several factors were identified as significantly influencing the total extrication duration.