A computer-derived protocol using recursive partitioning to aid in estimating prognosis of horses with abdominal pain in referral hospitals.

Peter J Pascoe, N. G. Ducharme, G. R. Ducharme, J. H. Lumsden

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61% in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65%, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83%. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50%, respectively.

Original languageEnglish (US)
Pages (from-to)373-378
Number of pages6
JournalCanadian journal of veterinary research = Revue canadienne de recherche veterinaire
Volume54
Issue number3
StatePublished - Jun 1990
Externally publishedYes

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Abdominal Pain
Horses
prognosis
Survivors
pain
Referral and Consultation
horses
Animal Hospitals
Sensitivity and Specificity
Discriminant Analysis
Teaching Hospitals
discriminant analysis
Population

ASJC Scopus subject areas

  • veterinary(all)

Cite this

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abstract = "In order to determine which variables are useful and accurate in estimating prognosis in horses with abdominal pain, data were analyzed from 231 horses presented at a veterinary teaching hospital. Using multiple stepwise discriminant analysis in a recursive partition model, we obtained a decision protocol that identified survivors and nonsurvivors. The prevalence of survivors was 61{\%} in this population. The sensitivity, specificity, and positive and negative predictive values of this model were 71, 83, 87 and 65{\%}, respectively. This decision protocol was validated by Jackknife classification and also by evaluation with a referral population of 100 horses in which the prevalence of survivors was 83{\%}. This led to sensitivity, specificity, and positive and negative predictive values of 83, 78, 94 and 50{\%}, respectively.",
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AU - Pascoe, Peter J

AU - Ducharme, N. G.

AU - Ducharme, G. R.

AU - Lumsden, J. H.

PY - 1990/6

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