Evidence map›Paper›PMID 42423410›Full record

ArticleInvestigative ophthalmology & visual science2026

Clinical and Imaging Characteristics of Thin and Thick Idiopathic Epiretinal Membranes Assessed by High-Resolution OCT.

Alberto Quarta, Jianfeng Huang, Rouzbeh Abbasgholizadeh, Ceren Soylu, Shinichiro Chujo, Mai Alhelaly, Sweetha Bindu Velaga, Muneeswar G Nittala, Giulia Corradetti, Michael Ip and 2 more

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Article in Investigative ophthalmology & visual 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Alberto QuartaDoheny Eye Institute, Pasadena, California, United States.
Jianfeng HuangDoheny Eye Institute, Pasadena, California, United States.
Rouzbeh AbbasgholizadehDoheny Eye Institute, Pasadena, California, United States.
Ceren SoyluDoheny Eye Institute, Pasadena, California, United States.
Shinichiro ChujoDoheny Eye Institute, Pasadena, California, United States.
Mai AlhelalyDoheny Eye Institute, Pasadena, California, United States.
Sweetha Bindu VelagaDoheny Eye Institute, Pasadena, California, United States.
Muneeswar G NittalaDoheny Eye Institute, Pasadena, California, United States.
Giulia CorradettiDoheny Eye Institute, Pasadena, California, United States.
Michael IpDoheny Eye Institute, Pasadena, California, United States.
Rodolfo MastropasquaDepartment of Neurosciences, Imaging and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Srinivas R SaddaDoheny Eye Institute, Pasadena, California, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to determine the prevalence and imaging characteristics of thin and thick idiopathic epiretinal membranes (ERMs) using high-resolution (HR) optical coherence tomography (OCT) and to identify clinical factors associated with ERM thickness phenotype. Methods: All patients underwent comprehensive ophthalmologic examination and multimodal imaging, including HR-OCT. ERM morphology was evaluated on fovea-centered OCT scans and classified as thin or thick based on preretinal reflectivity patterns. Multivariable generalized estimating equations (GEEs) were used to identify factors independently associated with ERM type while accounting for inter-eye correlation. Results: Fifty-four eyes included in this analysis and 28 (51.9%) were classified as thin ERM, whereas 26 (48.1%) were thick ERM. Patients with thick ERM were significantly older than those with thin ERM (81.6 ± 6.2 vs. 75.7 ± 10.8 years, P = 0.039). Pseudophakia was more prevalent in the thick ERM group (84.6% vs. 60.7%, P < 0.001), as was the presence of AMD (69.2% vs. 28.6%, P = 0.003). Mean central macular thickness (CMT) and best-corrected visual acuity (BCVA) did not differ significantly between thin and thick ERM groups (P > 0.05). In multivariable analysis, pseudophakia (odds ratio [OR] = 10.33, 95% confidence interval [CI] = 1.29-83.10, P = 0.028) and age-related macular degeneration (AMD; OR = 4.12, 95% CI = 1.01-16.87, P = 0.049) were independently associated with thick ERM. Conclusions: HR-OCT enables in vivo differentiation of thin and thick idiopathic ERMs. Thick ERM is independently associated with pseudophakia and AMD but not with greater CMT or worse BCVA, suggesting that ERM thickness phenotype may reflect differences in factors other than vitreoretinal interface biology alone.

Indexed as

Epiretinal MembraneTomography, Optical CoherenceAgedAged, 80 and overFemaleHumansMalePrevalenceRetrospective StudiesVisual Acuity

Identifiers

PMID42423410
PMCPMC13367203

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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 Socratic graph.