Evidence map›Paper›PMID 40547001›Full record

ArticleOphthalmology science

Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy.

Seo Hee Kim, Kai Tzu-Iunn Ong, Seonghee Choi, Eun Jee Chung, Min Kim, Christopher Seungkyu Lee, Jinyoung Yeo, Eun Young Choi

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Seo Hee KimDepartment of Ophthalmology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Kai Tzu-Iunn OngDepartment of Artificial Intelligence, Yonsei University College of Computing, Seoul, South Korea.
Seonghee ChoiDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, New York.
Eun Jee ChungDepartment of Ophthalmology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Min KimDepartment of Ophthalmology, Institute of Vision Research & Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Christopher Seungkyu LeeDepartment of Ophthalmology, Institute of Vision Research & Severance Eye Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Jinyoung YeoDepartment of Artificial Intelligence, Yonsei University College of Computing, Seoul, South Korea.
Eun Young ChoiDepartment of Ophthalmology, Institute of Vision Research & Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Polypoidal choroidal vasculopathy (PCV) demonstrates significant prognostic variability, and the impact of age-related scattered hypofluorescent spots observed in late-phase indocyanine green angiography (ASHS-LIA) on the prognosis of PCV remains under-researched. This study aims to investigate the association between ASHS-LIA in PCV and prognosis using the AdaBoost machine learning model. Design: A cross-sectional study. Participants: The study included patients diagnosed with PCV and treated with anti-VEGF therapy at 2 medical institutions between 2012 and 2021. Methods: We conducted a retrospective analysis of the clinical characteristics, anti-VEGF treatment history, and outcomes of the participants, classifying them based on the presence or absence of ASHS-LIA. An AdaBoost meta-estimator was applied to predict prognosis, including disease stability, injection frequency, and time to first remission, utilizing features selected through principal component analysis. Main Outcome Measures: The prognostic significance of ASHS-LIA was assessed by feature importance, with the mean decrease in impurity serving as the evaluation metric. Results: Of 57 eyes with PCV, 31 exhibited ASHS-LIA and 26 did not. Compared with the non-ASHS-LIA group, the ASHS-LIA group had fewer patients who achieved a super-stable status without recurrence for >18 months postremission ( Conclusions: Machine learning analysis identified ASHS-LIA as a negative prognostic factor in PCV, correlating with reduced disease stability, higher recurrence rates, and increased treatment requirements. These findings suggest that ASHS-LIA could serve as a valuable marker for assessing prognosis and guiding treatment strategies in PCV management. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

Age-related scattered hypofluorescent spotsIndocyanine green angiographyMachine learningPolypoidal choroidal vasculopathyPrincipal component analysis

Identifiers

PMID40547001
PMCPMC12179699

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