ReviewInternational ophthalmology2024
Review on classification of polypoidal choroidal vasculopathy.
Review in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Pachychoroid diseases of the macula: an update.Medical hypothesis, discovery & innovation ophthalmology journal · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundPolypoidal choroidal vasculopathy (PCV) is a complex vascular disorder characterized by a branching neovascular network with polypoidal lesions at its termini. Despite extensive research, the etiology and pathogenesis of PCV remain inadequately understood, and the condition exhibits significant clinical and pathological heterogeneity. In recent years, numerous studies have identified potential subtypes within PCV and proposed various classification schemes. However, a universally accepted classification system for PCV has yet to be established. PURPOSE: This review aims to provide a comprehensive overview of the different classification methods for PCV that have emerged alongside advancements in imaging technologies and a deeper understanding of PCV, highlighting their clinical relevance and prognostic implications.
methodsA systematic search of PubMed, Embase, Web of Science, and Cochrane databases was conducted. Literature management was facilitated using EndNote X9 software.
resultsBy synthesizing existing classification approaches, this paper seeks to offer a clearer understanding of PCV subtypes, which may guide future research and inform treatment strategies.
Indexed as
Identifiers
39531122What 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.