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Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis

BACKGROUND: Optical coherence tomography (OCT) can detect visual alterations associated with Parkinson disease, such as damage to the retinal nerve fiber layer or changes in retinal vasculature. Macula thinning in association with Parkinson disease (PD) remains controversial. Therefore, we conducted...

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Autores principales: Lee, Yong Woo, Lim, Myung-Nam, Lee, Jae Yeon, Yoo, Yung-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553016/
https://www.ncbi.nlm.nih.gov/pubmed/37800768
http://dx.doi.org/10.1097/MD.0000000000035354
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author Lee, Yong Woo
Lim, Myung-Nam
Lee, Jae Yeon
Yoo, Yung-Ju
author_facet Lee, Yong Woo
Lim, Myung-Nam
Lee, Jae Yeon
Yoo, Yung-Ju
author_sort Lee, Yong Woo
collection PubMed
description BACKGROUND: Optical coherence tomography (OCT) can detect visual alterations associated with Parkinson disease, such as damage to the retinal nerve fiber layer or changes in retinal vasculature. Macula thinning in association with Parkinson disease (PD) remains controversial. Therefore, we conducted a meta-analysis to investigate the central retina thickness in PD measured using spectral-domain OCT (SD-OCT). METHODS: We searched PubMed and the Excerpta Medica database to identify studies that compared macular thickness between patients with PD and healthy controls published before July 31, 2021. A random-effects model was used to examine PD-associated changes in macular thickness. Meta-regression analysis was performed by assessing heterogeneity, publication bias, and study quality. RESULTS: Thirty-two studies with a cross-sectional design were selected, including 2118 patients with PD and 2338 controls. We identified significant differences in the thickness of the ganglion cell–inner plexiform layer (standardized mean difference [SMD], –0.41; 95% confidence interval [CI], –0.66 to –0.16; I(2) = 80%), ganglion cell complex (SMD, –0.33; 95% CI, –0.50 to –0.17; I(2) = 0%), and of all inner and outer sectors of the macula (SMD range, –0.21 to –0.56; all P < .05) between patients with PD and controls. DISCUSSION: These results corroborate the increased prevalence of changes in OCT measures in individuals with PD, highlighting the efficacy of SD-OCT–determined macular thickness as a biomarker for PD. Our findings may provide helpful guidelines for clinicians in rapidly evolving areas of PD diagnosis.
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spelling pubmed-105530162023-10-06 Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis Lee, Yong Woo Lim, Myung-Nam Lee, Jae Yeon Yoo, Yung-Ju Medicine (Baltimore) Systematic Review and Meta-Analysis BACKGROUND: Optical coherence tomography (OCT) can detect visual alterations associated with Parkinson disease, such as damage to the retinal nerve fiber layer or changes in retinal vasculature. Macula thinning in association with Parkinson disease (PD) remains controversial. Therefore, we conducted a meta-analysis to investigate the central retina thickness in PD measured using spectral-domain OCT (SD-OCT). METHODS: We searched PubMed and the Excerpta Medica database to identify studies that compared macular thickness between patients with PD and healthy controls published before July 31, 2021. A random-effects model was used to examine PD-associated changes in macular thickness. Meta-regression analysis was performed by assessing heterogeneity, publication bias, and study quality. RESULTS: Thirty-two studies with a cross-sectional design were selected, including 2118 patients with PD and 2338 controls. We identified significant differences in the thickness of the ganglion cell–inner plexiform layer (standardized mean difference [SMD], –0.41; 95% confidence interval [CI], –0.66 to –0.16; I(2) = 80%), ganglion cell complex (SMD, –0.33; 95% CI, –0.50 to –0.17; I(2) = 0%), and of all inner and outer sectors of the macula (SMD range, –0.21 to –0.56; all P < .05) between patients with PD and controls. DISCUSSION: These results corroborate the increased prevalence of changes in OCT measures in individuals with PD, highlighting the efficacy of SD-OCT–determined macular thickness as a biomarker for PD. Our findings may provide helpful guidelines for clinicians in rapidly evolving areas of PD diagnosis. Lippincott Williams & Wilkins 2023-10-06 /pmc/articles/PMC10553016/ /pubmed/37800768 http://dx.doi.org/10.1097/MD.0000000000035354 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Systematic Review and Meta-Analysis
Lee, Yong Woo
Lim, Myung-Nam
Lee, Jae Yeon
Yoo, Yung-Ju
Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title_full Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title_fullStr Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title_full_unstemmed Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title_short Central retina thickness measured with spectral-domain optical coherence tomography in Parkinson disease: A meta-analysis
title_sort central retina thickness measured with spectral-domain optical coherence tomography in parkinson disease: a meta-analysis
topic Systematic Review and Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553016/
https://www.ncbi.nlm.nih.gov/pubmed/37800768
http://dx.doi.org/10.1097/MD.0000000000035354
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