Literature DB >> 15578199

Bayes' theorem applied to perimetric progression detection in glaucoma: from specificity to positive predictive value.

Nomdo M Jansonius1.   

Abstract

PURPOSE: To estimate the specificity of a clinical evaluation of a series of visual fields and to calculate the positive predictive value of progression.
METHODS: The specificity of a clinical evaluation of a series of visual fields was estimated using nonparametric ranking and probability calculus. The positive predictive value of progression was calculated using Bayes' theorem. The literature suggests a prior probability of progression of typically 0.10 in the case of one visual field per year. Three different prior probability values were used: 0.05, 0.10, and 0.20. Calculations were performed for a sensitivity of 0.50, 0.80, and 1.00.
RESULTS: Specificity of a clinical evaluation of a series of visual fields was calculated as 0.83 for four fields (two baseline fields, one follow-up field with suspected progression, and one confirmation of the suspected progression), 0.90 for five fields, and 0.95 for six fields. Positive predictive values ranged from 0.14 to 0.83. Positive predictive value was approximately 0.5 for a prior probability of 0.10, a sensitivity of 0.80, and a specificity of 0.90.
CONCLUSIONS: Realistic series of visual fields that are apparently progressive have a positive predictive value of typically 0.5, i.e., half of them are stable. In the case of a high prior probability (uncontrolled glaucoma or long interval between successive fields), four fields may suffice to diagnose progression, whereas at least six fields are required if the prior probability is low.

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Year:  2004        PMID: 15578199     DOI: 10.1007/s00417-004-1065-x

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  17 in total

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  8 in total

1.  Towards an optimal perimetric strategy for progression detection in glaucoma: from fixed-space to adaptive inter-test intervals.

Authors:  Nomdo M Jansonius
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2005-07-28       Impact factor: 3.117

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Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2007-04-17       Impact factor: 3.117

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6.  Occipital proton magnetic resonance spectroscopy (1H-MRS) reveals normal metabolite concentrations in retinal visual field defects.

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7.  Persistence, spatial distribution and implications for progression detection of blind parts of the visual field in glaucoma: a clinical cohort study.

Authors:  Francisco G Junoy Montolio; Christiaan Wesselink; Nomdo M Jansonius
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

8.  Modeling the Prevalence of Asymptomatic COVID-19 Infections in the Chinese Mainland.

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  8 in total

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