Predicting functional outcome in acute stroke: comparison of a simple six variable model with other predictive systems and informal clinical prediction

C Counsell; M Dennis; M McDowall

doi:10.1136/jnnp.2003.018085

Predicting functional outcome in acute stroke: comparison of a simple six variable model with other predictive systems and informal clinical prediction

C Counsell, M Dennis, M McDowall

Research output: Contribution to journal › Article › peer-review

Abstract

Statistical models that predict functional outcome after stroke using six simple variables (SSV) have recently been developed and validated.

Original language	English
Pages (from-to)	401-5
Number of pages	5
Journal	Journal of Neurology Neurosurgery & Psychiatry
Volume	75
Issue number	3
DOIs	https://doi.org/10.1136/jnnp.2003.018085
Publication status	Published - 2004

Keywords

Activities of Daily Living
Acute Disease
Cohort Studies
Humans
Models, Theoretical
Prognosis
Sensitivity and Specificity
Severity of Illness Index
Stroke

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10.1136/jnnp.2003.018085

Predicting functional outcome in acute stroke
available via europepmc link
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1738951/

Cite this

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title = "Predicting functional outcome in acute stroke: comparison of a simple six variable model with other predictive systems and informal clinical prediction",

abstract = "Statistical models that predict functional outcome after stroke using six simple variables (SSV) have recently been developed and validated.",

keywords = "Activities of Daily Living, Acute Disease, Cohort Studies, Humans, Models, Theoretical, Prognosis, Sensitivity and Specificity, Severity of Illness Index, Stroke",

author = "C Counsell and M Dennis and M McDowall",

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KW - Acute Disease

KW - Cohort Studies

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KW - Models, Theoretical

KW - Prognosis

KW - Sensitivity and Specificity

KW - Severity of Illness Index

KW - Stroke

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DO - 10.1136/jnnp.2003.018085

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Predicting functional outcome in acute stroke: comparison of a simple six variable model with other predictive systems and informal clinical prediction

Abstract

Keywords

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