Treatment of geographic atrophy: an update on data related to pegcetacoplan
Bibliographic record
Abstract
PURPOSE OF REVIEW: Geographic atrophy is an advanced and currently untreatable form of age-related macular degeneration (AMD), which leads to significant compromise of visual function and quality of life. Dysregulation of the complement cascade has been directly implicated in AMD pathogenesis. Pegcetacoplan is a pegylated highly selective bicyclic peptide that inhibits the cleavage of complement component 3 (C3), which represents a key step in propagation of the complement cascade. The phase 2 FILLY trial as well as the phase 3 OAKS and DERBY trials have evaluated the safety and efficacy of pegcetacoplan for the treatment of GA. RECENT FINDINGS: The FILLY, OAKS and DERBY trials have demonstrated that local inhibition of C3 cleavage with pegcetacoplan can reduce geographic atrophy lesion growth compared with sham with an effect size of approximately 11-35% depending on the specific trial and specific geographic atrophy phenotype considered. Overall pegcetacoplan has appeared to be well tolerated with the notable side effect of a dose-dependent increase in the rate of exudative AMD development in treated eyes. SUMMARY: The FILLY, OAKS and DERBY trials have demonstrated that pegcetacoplan is a potentially viable treatment for geographic atrophy. Additional data from the 2-year outcomes of DERBY and OAKS as well as data from the ongoing 3-year GALE extension study will provide additional insights into the potential therapeutic benefit of pegcetacoplan. Future studies assessing complement inhibition at earlier stages of AMD, with the goal of preventing geographic atrophy formation, are warranted.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".