Polypoidal choroidal vasculopathy in Canada
Bibliographic record
Abstract
Polypoidal choroidal vasculopathy (PCV) is an exudative age-related macular degeneration (AMD) subtype found more frequently among Asians than Caucasians. If untreated, it may lead to severe vision loss. PCV appears to be frequently underdiagnosed in Canada, although misdiagnosis of PCV as AMD carries the risk of inadequate treatment and unsatisfactory clinical outcomes. Diagnosis can be made on the basis of multimodal imaging, including optical coherence tomography (OCT) and OCT angiography combined with colour fundus photography, or by other imaging techniques; the gold-standard indocyanine green angiography (ICGA) is not widely used in Canada. Treatment involves anti-vascular endothelial growth factor (anti-VEGF) agents (bevacizumab, ranibizumab, or aflibercept), alone or in combination with photodynamic therapy (PDT). Recent clinical trials have shown that ranibizumab in combination with PDT is superior to ranibizumab monotherapy (EVEREST II), and aflibercept monotherapy is as effective in patients meeting PDT rescue criteria as aflibercept combined with rescue PDT (PLANET). It appears that most Canadian PCV patients are treated with anti-VEGF monotherapy, with or without PDT.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".