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Record W4409428608 · doi:10.1007/s00417-024-06721-5

Simultaneous GA and CNV/MNV: incidence, characteristics, and treatments

2025· review· en· W4409428608 on OpenAlexaff
Keiko Kataoka, Richard Gale, Xiaoxin Li, Figen Batıoğlu, Cynthia X. Qian, Chui Ming Gemmy Cheung, Miltiadis K. Tsilimbaris, Igor Kozak

Bibliographic record

VenueGraefe s Archive for Clinical and Experimental Ophthalmology · 2025
Typereview
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMacular degenerationChoroidal neovascularizationMedicineOphthalmologyDrusenOptical coherence tomographyIncidence (geometry)Subclinical infectionPathologyOptics

Abstract

fetched live from OpenAlex

PURPOSE: Understanding the clinical characteristics and underlying mechanisms of simultaneous geographic atrophy (GA) and choroidal neovascularization (CNV)/macular neovascularization (MNV) is necessary for the long-term management of late age-related macular degeneration (AMD) in clinical practice. METHODS: The authors reviewed the literature on the incidence, risk factors, and clinical characteristics of simultaneous GA and CNV/MNV and developed consensus recommendations for the diagnosis, assessment, and management of simultaneous GA and CNV/MNV in clinical practice. RESULTS: The incidence rate of CNV/MNV in eyes with GA is reported as 7.4% per patient-year or 13.8% in 4.1 years, while that of macular atrophy (MA) subsequent to CNV/MNV is reported as 24.4% to 37% in 24 months. Recent studies using optical coherence tomography angiography (OCT-A) revealed the presence of subclinical CNV/MNV in 11% to 16% of eyes with GA. Fundus autofluorescence is used to detect MA; optical coherence tomography (OCT) and OCT-A are useful for detecting MA, especially around the fovea, with OCT-A offering high sensitivity and specificity in the detection of both MA and CNV/MNV. GA and CNV/MNV share the genetic risk factors of HTRA1, complement factor H, complement factors 3 and 2, and ARMS2, and clinical risk factors of large drusen, cuticular drusen, intraretinal hyperreflective foci, and subretinal drusenoid deposits, suggesting that simultaneous GA and CNV/MNV represents a continuum of AMD. Anti-vascular endothelial growth factor therapy for CNV/MNV is reported to have no impact on the speed or magnitude of MA development or enlargement. An association has been observed between CNV subtype and MA progression, with the latter being slower in the presence of type 1 CNV/MNV. CONCLUSIONS: These findings suggest there is a high probability of coexistence of GA and CNV/MNV and that they should not be considered separately. Future clinical studies should assess the two conditions simultaneously using OCT and OCT-A. KEY MESSAGES: What is known Owing to differences in their clinical characteristics, geographic atrophy (GA) and choroidal neovascularization (CNV)/macular neovascularization (MNV) have historically been regarded as two separate entities; however, several cases of coexistent GA and CNV/MNV have been reported recently in the published literature. What is new The findings of this review confirm that GA and CNV/MNV share common genetic risk factors and clinical characteristics, and suggest that these two entities are part of a continuum of late-stage age-related macular degeneration (AMD). The potential for GA and CNV/MNV to coexist should be considered in any discussion of the long-term management of late AMD; moreover, clinicians should assess for CNV/MNV in patients with GA, and for GA in those with CNV/MNV, using multimodal imaging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.470
Teacher spread0.385 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2025
Admission routes1
Has abstractyes

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