2013
DOI: 10.1167/iovs.13-11680
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Refinement of Pointwise Linear Regression Criteria for Determining Glaucoma Progression

Abstract: When systematically evaluating criteria for detecting glaucoma progression, PLR criteria can be refined by requiring a stricter slope criterion such as less than -1.2 dB/y and relaxing the significance criterion to P < 0.04. Increasing the hit rate of PLR will be useful for early detection and treatment of glaucoma.

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Cited by 24 publications
(22 citation statements)
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“…I also examine how this prediction is influenced by checking for progression each time a visual field is added to a series, as might happen clinically. Finally, I examine whether criteria based not simply on the presence of significant progression but also on the magnitude of the estimated rate of progression, as commonly employed in pointwise linear regression analyses, 9 might improve the PPV for detecting rapid visual field loss in glaucoma.…”
Section: Introductionmentioning
confidence: 99%
“…I also examine how this prediction is influenced by checking for progression each time a visual field is added to a series, as might happen clinically. Finally, I examine whether criteria based not simply on the presence of significant progression but also on the magnitude of the estimated rate of progression, as commonly employed in pointwise linear regression analyses, 9 might improve the PPV for detecting rapid visual field loss in glaucoma.…”
Section: Introductionmentioning
confidence: 99%
“…However, several other criteria have been proposed not only with different rates or p value cutoffs but also with the minimum number of flagged points, their location (clustered or nonclustered; De Moraes et al, 2012), or the requirement of repeatable findings in a consecutive number of exams (Gardiner and Crabb, 2002). More strict criteria present less false positives, but identify less-progressing patients (Kummet et al, 2013); however, there is lack of a much-required consensus on recommended criteria for progression. A recently described method uses permutation analyses of pointwise linear regression to provide a statistical significance estimate of deterioration in the whole visual field with a false-positive rate that is independent of variability, level of damage, or length of follow-up, and can be useful for analyzing individual visual field series or comparisons of different techniques (O'Leary et al, 2012).…”
Section: Pointwise Trend Analysismentioning
confidence: 99%
“…The slope and P value chosen should depend on the clinical question being asked—whether one is more concerned with sensitivity or whether specificity is more critical. This issue has been studied20 and while we have shown several optimal criteria that balance sensitivity and specificity, the choice depends on the specific clinical or research setting.…”
Section: Discussionmentioning
confidence: 99%