Observational studyInvestigative ophthalmology & visual science2026
Peripapillary Choroidal Neovascularization in Adults: Spectrum of Etiologies and Clinical Features.
Observational study 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To characterize etiologies and clinical-imaging features of peripapillary choroidal neovascularization (CNV) and identify predictors of underlying disease (i.e., including age-related macular degeneration [AMD] vs. non-AMD etiologies) and visual outcomes. Methods: This multicenter retrospective case series included 156 eyes of 138 treatment-naïve patients with peripapillary CNV from 12 tertiary centers. Peripapillary CNV was defined as sub-RPE or subretinal neovascularization within one disc diameter of the optic disc. Multimodal imaging (optical coherence tomography [OCT], fluorescein and indocyanine green angiography, and/or OCT angiography) was used to confirm CNV and etiology. Baseline OCT features included CNV type, exudation pattern, foveal involvement, peripapillary location, and distance to the disc. Longitudinal OCT and best-corrected visual acuity (BCVA, logMAR) were analyzed when available. Management followed routine clinical practice with variable administration of anti-VEGF therapy. Regression models and a conditional inference tree assessed predictors of diagnosis and visual outcome. Results: The most common etiologies were AMD (51.9%), pachychoroid disease (27.6%), and angioid streaks (6.4%). CNV most frequently involved the temporal peripapillary quadrant (84.6%). Aneurysmal type 1 CNV predominated in pachychoroid disease, whereas type 2 CNV was more common in other etiologies. Baseline BCVA was worse in AMD and angioid streaks and was independently associated with underlying disease and foveal involvement. The Conditional Inference Tree associated age >71 years and nonaneurysmal type 1 or type 2 CNV with AMD. Conclusions: Peripapillary CNV most commonly arises from AMD and pachychoroid disease. Simple clinical and imaging features can assist etiological classification and visual prognostication in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.