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Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS
PURPOSE: It has been suggested that the detection of visual field progression can be improved by modeling statistical properties of the data such as the increasing retest variability and the spatial correlation among visual field locations. We compared a method that models those properties, Analysis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684309/ https://www.ncbi.nlm.nih.gov/pubmed/34910103 http://dx.doi.org/10.1167/tvst.10.14.13 |
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author | Marín-Franch, Iván Artes, Paul H. Turpin, Andrew Racette, Lyne |
author_facet | Marín-Franch, Iván Artes, Paul H. Turpin, Andrew Racette, Lyne |
author_sort | Marín-Franch, Iván |
collection | PubMed |
description | PURPOSE: It has been suggested that the detection of visual field progression can be improved by modeling statistical properties of the data such as the increasing retest variability and the spatial correlation among visual field locations. We compared a method that models those properties, Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS), against a simpler one that does not, Permutation of Pointwise Linear Regression (PoPLR). METHODS: Visual field series from three independent longitudinal studies in patients with glaucoma were used to compare the positive rate of PoPLR and ANSWERS. To estimate the false-positive rate, the same visual field series were randomly re-ordered in time. The first dataset consisted of series of 7 visual fields from 101 eyes, the second consisted of series of 9 visual fields from 150 eyes, and the third consisted of series of more than 9 visual fields (17.5 on average) from 139 eyes. RESULTS: For a statistical significance of 0.05, the false-positive rates for ANSWERS were about 3 times greater than expected at 15%, 17%, and 16%, respectively, whereas for PoPLR they were 7%, 3%, and 6%. After equating the specificities at 0.05 for both models, positive rates for ANSWERS were 16%, 25%, and 38%, whereas for PoPLR they were 12%, 33%, and 49%, or about 5% greater on average (95% confidence interval = −1% to 11%). CONCLUSIONS: Despite being simpler and less computationally demanding, PoPLR was at least as sensitive to deterioration as ANSWERS once the specificities were equated. TRANSLATIONAL RELEVANCE: Close control of false-positive rates is key when visual fields of patients are analyzed for change in both clinical practice and clinical trials. |
format | Online Article Text |
id | pubmed-8684309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-86843092022-01-06 Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS Marín-Franch, Iván Artes, Paul H. Turpin, Andrew Racette, Lyne Transl Vis Sci Technol Article PURPOSE: It has been suggested that the detection of visual field progression can be improved by modeling statistical properties of the data such as the increasing retest variability and the spatial correlation among visual field locations. We compared a method that models those properties, Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS), against a simpler one that does not, Permutation of Pointwise Linear Regression (PoPLR). METHODS: Visual field series from three independent longitudinal studies in patients with glaucoma were used to compare the positive rate of PoPLR and ANSWERS. To estimate the false-positive rate, the same visual field series were randomly re-ordered in time. The first dataset consisted of series of 7 visual fields from 101 eyes, the second consisted of series of 9 visual fields from 150 eyes, and the third consisted of series of more than 9 visual fields (17.5 on average) from 139 eyes. RESULTS: For a statistical significance of 0.05, the false-positive rates for ANSWERS were about 3 times greater than expected at 15%, 17%, and 16%, respectively, whereas for PoPLR they were 7%, 3%, and 6%. After equating the specificities at 0.05 for both models, positive rates for ANSWERS were 16%, 25%, and 38%, whereas for PoPLR they were 12%, 33%, and 49%, or about 5% greater on average (95% confidence interval = −1% to 11%). CONCLUSIONS: Despite being simpler and less computationally demanding, PoPLR was at least as sensitive to deterioration as ANSWERS once the specificities were equated. TRANSLATIONAL RELEVANCE: Close control of false-positive rates is key when visual fields of patients are analyzed for change in both clinical practice and clinical trials. The Association for Research in Vision and Ophthalmology 2021-12-15 /pmc/articles/PMC8684309/ /pubmed/34910103 http://dx.doi.org/10.1167/tvst.10.14.13 Text en Copyright 2021 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Article Marín-Franch, Iván Artes, Paul H. Turpin, Andrew Racette, Lyne Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title | Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title_full | Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title_fullStr | Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title_full_unstemmed | Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title_short | Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS |
title_sort | visual field progression in glaucoma: comparison between poplr and answers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684309/ https://www.ncbi.nlm.nih.gov/pubmed/34910103 http://dx.doi.org/10.1167/tvst.10.14.13 |
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