Questioning the “SPIN and SNOUT” rule in clinical testing

Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive or negative test in response to the presence or absence of a clinical condition?’. Related to SP and SE are the diagnostic procedures of SNOUT and SPIN. SNOUT is the acronym for ‘Sensitive test when...

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Main Authors: Jean-Pierre Baeyens, Ben Serrien, Maggie Goossens, Ron Clijsen
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Archives of Physiotherapy
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40945-019-0056-5
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spelling doaj-a7fc4afedd044b4aa1c4dce3d1770bdd2020-11-25T02:17:42ZengBMCArchives of Physiotherapy2057-00822019-03-01911610.1186/s40945-019-0056-5Questioning the “SPIN and SNOUT” rule in clinical testingJean-Pierre Baeyens0Ben Serrien1Maggie Goossens2Ron Clijsen3Faculty Physical Education and Physiotherapy, Vrije Universiteit BrusselFaculty Physical Education and Physiotherapy, Vrije Universiteit BrusselFaculty Applied Engineering, Antwerp UniversityFaculty Physical Education and Physiotherapy, Vrije Universiteit BrusselAbstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive or negative test in response to the presence or absence of a clinical condition?’. Related to SP and SE are the diagnostic procedures of SNOUT and SPIN. SNOUT is the acronym for ‘Sensitive test when Negative rules OUT the disease’, SPIN for, ‘Specific test when Positive rules IN the disease’. SE and SP are incomplete because for clinical diagnosis, the question of concern should actually be: ‘what is the chance that the clinical condition will be present or absent in the context of a positive or negative test result?’. The latter statement is related to the concepts of Positive and Negative Predictive Value (PPV and NPV). However, PPV and NPV are predictive values not only dependent on SE and SP but also largely dependent on the prevalence in the examined population. Consequently, predictive values from one study should not be transferred to some other setting with a different prevalence. Prevalence affects PPV and NPV differently. PPV is increasing, while NPV decreases with the increase of the prevalence. This makes prevalence the nemesis in the application of the predictive values. Therefore, another variable has been introduced to evaluate the strength of a diagnostic test, namely the likelihood ratio. Likelihood ratios determine how much more likely a particular test result is among people who have the clinical condition of interest than it is among people who do not have the condition. LIKELIHOOD RATIO (LR) is the ratio of two probabilities. This letter illustrates the limitations of the concepts of SE, SP, NPV, PPV and the LRs in context of specific shoulder tests.http://link.springer.com/article/10.1186/s40945-019-0056-5Clinical testingDiagnostic accuracySensitivitySpecificityLikelihood ratioPrevalence
collection DOAJ
language English
format Article
sources DOAJ
author Jean-Pierre Baeyens
Ben Serrien
Maggie Goossens
Ron Clijsen
spellingShingle Jean-Pierre Baeyens
Ben Serrien
Maggie Goossens
Ron Clijsen
Questioning the “SPIN and SNOUT” rule in clinical testing
Archives of Physiotherapy
Clinical testing
Diagnostic accuracy
Sensitivity
Specificity
Likelihood ratio
Prevalence
author_facet Jean-Pierre Baeyens
Ben Serrien
Maggie Goossens
Ron Clijsen
author_sort Jean-Pierre Baeyens
title Questioning the “SPIN and SNOUT” rule in clinical testing
title_short Questioning the “SPIN and SNOUT” rule in clinical testing
title_full Questioning the “SPIN and SNOUT” rule in clinical testing
title_fullStr Questioning the “SPIN and SNOUT” rule in clinical testing
title_full_unstemmed Questioning the “SPIN and SNOUT” rule in clinical testing
title_sort questioning the “spin and snout” rule in clinical testing
publisher BMC
series Archives of Physiotherapy
issn 2057-0082
publishDate 2019-03-01
description Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive or negative test in response to the presence or absence of a clinical condition?’. Related to SP and SE are the diagnostic procedures of SNOUT and SPIN. SNOUT is the acronym for ‘Sensitive test when Negative rules OUT the disease’, SPIN for, ‘Specific test when Positive rules IN the disease’. SE and SP are incomplete because for clinical diagnosis, the question of concern should actually be: ‘what is the chance that the clinical condition will be present or absent in the context of a positive or negative test result?’. The latter statement is related to the concepts of Positive and Negative Predictive Value (PPV and NPV). However, PPV and NPV are predictive values not only dependent on SE and SP but also largely dependent on the prevalence in the examined population. Consequently, predictive values from one study should not be transferred to some other setting with a different prevalence. Prevalence affects PPV and NPV differently. PPV is increasing, while NPV decreases with the increase of the prevalence. This makes prevalence the nemesis in the application of the predictive values. Therefore, another variable has been introduced to evaluate the strength of a diagnostic test, namely the likelihood ratio. Likelihood ratios determine how much more likely a particular test result is among people who have the clinical condition of interest than it is among people who do not have the condition. LIKELIHOOD RATIO (LR) is the ratio of two probabilities. This letter illustrates the limitations of the concepts of SE, SP, NPV, PPV and the LRs in context of specific shoulder tests.
topic Clinical testing
Diagnostic accuracy
Sensitivity
Specificity
Likelihood ratio
Prevalence
url http://link.springer.com/article/10.1186/s40945-019-0056-5
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