Epidemiology, Associations, and Treatment of Acute Exudative Polymorphous Vitelliform Maculopathy (AEPVM)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it