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NCT07142785

Clinical Evaluation of With or Without Internal Limiting Membrane Peeling for Idiopathic Epiretinal Membrane Surgery: A Randomized Controlled Trial

Recruiting now NA Last updated 27 August 2025
What this trial tests

NA trial testing Epiretinal membrane peeling in Idiopathic Epiretinal Membranes in 96 participants. Currently enrolling.

Timeline
1 September 2025
Primary endpoint
30 June 2028
30 June 2028

Quick facts

Lead sponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposetreatment
Enrollment96
Start date1 September 2025
Primary completion30 June 2028
Estimated completion30 June 2028
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Who can join

18 and older, any sex, with Idiopathic Epiretinal Membranes. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Idiopathic epiretinal membrane (ERM) is an age-related degenerative retinal condition. One of the primary treatment approaches is vitrectomy combined with epiretinal membrane peeling. However, whether to concurrently perform internal limiting membrane (ILM) peeling remains clinically controversial. Therefore, this study aims to compare the efficacy and safety of performing versus omitting ILM peeling during idiopathic ERM surgery.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Second Affiliated Hospital, School of Medicine, Zhejiang University trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07142785.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing