Literature DB >> 12511763

Performance of a statistical model to predict stroke outcome in the context of a large, simple, randomized, controlled trial of feeding.

C Counsel1, M S Dennis, S Lewis, C Warlow.   

Abstract

BACKGROUND AND
PURPOSE: Statistical models to predict the outcome of stroke patients have several uses. Their utility depends on their predictive accuracy in patients other than those on whom they were developed (ie, external validity). We sought to test the external validity of some recently described models in patients enrolled in the FOOD (Feed Or Ordinary Diet) trial: a large randomized trial evaluating feeding policies in patients with stroke.
METHODS: The predictive variables were collected during a telephone call to randomize the patient a median of 5 days after stroke onset. Patients were followed up 6 months later to establish their survival, functional status, and residence. Charts were plotted to demonstrate the discrimination and calibration of the models.
RESULTS: The models performed well in the first 2955 patients enrolled and followed up in the FOOD trial. The area under the receiver operating characteristic curves varied between 0.78 and 0.81 (with 0.5 indicating no discrimination and 1.0 indicating perfect discrimination). The discrimination was marginally better for patients enrolled within the first day of stroke than later. The models tended to provide rather pessimistic predictions in all groups except those predicted to have a high likelihood of surviving free of dependency.
CONCLUSIONS: As one might predict, the discriminatory power in the selected cohort of trial patients was marginally less good than in previously studied unselected cohorts used to test their external validity. These models provide a well-tested tool for stratification in trials, comparing outcomes in different cohorts and examining the additional predictive power of novel factors.

Entities:  

Mesh:

Year:  2003        PMID: 12511763     DOI: 10.1161/01.str.0000044165.41303.50

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  5 in total

1.  External validation of a six simple variable model of stroke outcome and verification in hyper-acute stroke.

Authors:  J M Reid; G J Gubitz; D Dai; Y Reidy; C Christian; C Counsell; M Dennis; S J Phillips
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-12       Impact factor: 10.154

2.  Cluster Randomized Controlled Trial: Clinical and Cost-Effectiveness of a System of Longer-Term Stroke Care.

Authors:  Anne Forster; John Young; Katie Chapman; Jane Nixon; Anita Patel; Ivana Holloway; Kirste Mellish; Shamaila Anwar; Rachel Breen; Martin Knapp; Jenni Murray; Amanda Farrin
Journal:  Stroke       Date:  2015-07-07       Impact factor: 7.914

3.  Predicting patient-reported stroke outcomes: a validation of the six simple variable prognostic model.

Authors:  Elizabeth Teale; John Young; Martin Dennis; Trevor Sheldon
Journal:  Cerebrovasc Dis Extra       Date:  2013-07-05

4.  Validation and Recalibration of Two Multivariable Prognostic Models for Survival and Independence in Acute Stroke.

Authors:  Julius Sim; Lucy Teece; Martin S Dennis; Christine Roffe
Journal:  PLoS One       Date:  2016-05-26       Impact factor: 3.240

5.  Predicting Independence 6 and 18 Months after Ischemic Stroke Considering Differences in 12 Countries: A Secondary Analysis of the IST-3 Trial.

Authors:  André Vieira; Patrícia Soares; Carla Nunes
Journal:  Stroke Res Treat       Date:  2021-07-30
  5 in total

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