Evidence map›Paper›PMID 42718898›Full record

ArticleOphthalmology science2026

Intereye Correlation in Bilateral Geographic Atrophy: Morphology and Growth Rates in the Age-Related Eye Disease Study.

Liangbo Linus Shen, Philip J Rosenfeld, Sara Beqiri, Robert C O'Brien, Jun Zhang, Emily Y Chew, Lucian V Del Priore, Jay M Stewart

Abstract read
In one paragraph

Article in Ophthalmology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Liangbo Linus ShenDuke Eye Center, Duke University School of Medicine, Durham, North Carolina.
Philip J RosenfeldDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Sara BeqiriDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Robert C O'BrienDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Jun ZhangBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut.
Emily Y ChewDivision of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
Lucian V Del PrioreDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Jay M StewartDepartment of Ophthalmology, University of California, San Francisco, California.

Funding

Rapid-Prototyping and Design CoreP30EY002162 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ULLIAN, ERIK M · 1985 to 2024
$16.8M
Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI Jonathan B Demb · 2016 to 2026
$7.1M
NEI NIH HHS P30 EY002162NEI NIH HHS P30 EY026878
6 · The paper itself

Abstract

Purpose: To evaluate intereye correlation in geographic atrophy (GA) lesion morphology, topography, and growth rates, and whether fellow eyes could improve trial efficiency as internal controls. Design: Secondary analysis of a multicenter, prospective, randomized controlled trial. Participants: Age-Related Eye Disease Study participants with bilateral GA. Methods: Color fundus photographs were used to delineate GA lesions and measure area, perimeter, circularity index, focality, and lesion number. Intereye correlations were evaluated cross-sectionally and longitudinally for 3 GA growth rates (area, square root-transformed, and perimeter-adjusted growth rate). Longitudinal correlations used the first-to-last interval (mean, 5.5 years). Sample-size requirements for paired and unpaired designs were estimated through exploratory power analyses in eyes with 1-year follow-up. Main Outcome Measures: Geographic atrophy size, morphology, topographic distribution, and growth rate. Results: In 226 eyes from 113 patients, moderate-to-strong associations were observed between fellow eyes for GA area (ρ = 0.63), perimeter (ρ = 0.69), circularity index (ρ = 0.56), and across all 4 quadrants (range, ρ = 0.51-0.61). Longitudinally, intereye associations were moderate-to-strong for GA area growth rates (ρ = 0.74), square root-transformed area growth rates (ρ = 0.62), and perimeter-adjusted growth rates (ρ = 0.60). These values reflect the first-to-last interval (mean, 5.5 years); over 1 year, correlations were markedly lower (ρ = 0.53, 0.40, 0.34). By baseline lesion size, intereye correlation was slightly higher for area growth rate in small lesions (≤0.9 disc areas [DAs]) but comparable between area- and perimeter-adjusted rates in larger lesions (>0.9 DA). In exploratory 1-year power analyses, a paired design with within-participant randomization of study and fellow eyes was associated with approximately 40% lower estimated sample-size requirements than an unpaired design (149 pairs vs. 250 eyes per arm for area growth rate); adding a perimeter-adjusted endpoint in lesions >0.9 DA reduced the estimate to 50 pairs per arm. Conclusions: We observed moderate-to-strong inter-eye correlations in GA morphology, topography, and progression. For exploratory designs of local unilateral therapies, fellow eyes may serve as internal controls alongside square root-transformed or perimeter-adjusted endpoints, reducing sample sizes, particularly for lesions >0.9 DA. Because these analyses use color fundus photography rather than fundus autofluorescence, they are hypothesis-generating for modern trials. These correlations may also inform group-level counseling on fellow-eye progression. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Age-related macular degenerationClinical trial designGeographic atrophyIntereye correlationLesion growth rate

Identifiers

PMID42718898
PMCPMC13553575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.