Epidemiology, Associations, and Treatment of Acute Exudative Polymorphous Vitelliform Maculopathy (AEPVM)
Bibliographic record
Abstract
PURPOSE: Acute Exudative Polymorphous Vitelliform Maculopathy (AEPVM) is a rare retinal disorder characterized by serous subretinal detachments that progress to vitelliform lesions. In this review, we aim to summarize current knowledge of etiologies and treatments for AEPVM and its association with primary and recurrent melanoma. METHODS: We performed a comprehensive search of scientific literature for articles mentioning Acute Exudative Polymorphous Vitelliform Maculopathy including all literature published through March 2025 using the online electronic databases PubMed, MEDLINE, and Embase. RESULTS: We identified 81 cases (mean age 46 ± 16.9 years, 43.2% female) with etiologies including idiopathic (43), infectious (10), paraneoplastic (19), and medication-induced (9). Several successful treatments were identified. Local or systemic corticosteroids in 17 eyes improved subretinal fluid and vision in 100% of idiopathic, 50% of infectious, and 40% of medication-induced cases. In paraneoplastic AEPVM, fluid improved with immunotherapy (2 eyes), chemotherapy (2 eyes), intravitreal methotrexate (1 eye), and aflibercept (2 eyes). Notably, AEPVM was the initial symptom of primary or metastatic melanoma in 5 cases. CONCLUSION: The variable response to treatment and the potential link between AEPVM and primary and recurrent melanoma highlights the need for further research. A thorough understanding of treatment options and outcomes is essential to optimize management and to encourage prompt recognition of metastatic melanoma or other conditions associated with AEPVM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".