Efficacy of Intravitreal Pegcetacoplan vs Avacincaptad Pegol in Patients With Geographic Atrophy
Bibliographic record
Abstract
Purpose: To evaluate the efficacy of intravitreal (IVT) pegcetacoplan monthly vs avacincaptad pegol monthly (primary analysis), and pegcetacoplan every other month vs avacincaptad pegol monthly (secondary analysis), for geographic atrophy (GA). Methods: Matching-adjusted indirect comparisons were conducted across global phase 3 trials using individual patient data from 2 pegcetacoplan trials (OAKS, NCT03525613; DERBY, NCT03525600) and published aggregate data from the avacincaptad pegol GATHER2 trial (NCT04435366). GATHER2 inclusion and exclusion criteria were applied to the OAKS and DERBY individual patient data. Key baseline variables were balanced using propensity score weighting. GA lesion growth at month 12 was assessed. Results from the matching-adjusted indirect comparisons were combined using meta-analysis. Results: The primary analysis included 103 patients from OAKS and 102 patients from DERBY who met the GATHER2 inclusion and exclusion criteria and 447 patients from GATHER2. In OAKS vs GATHER2, the adjusted difference in GA lesion growth at month 12 between pegcetacoplan monthly and avacincaptad pegol was −0.716 mm 2 (95% CI, −1.385 to −0.046; P = .04), statistically favoring pegcetacoplan monthly. In DERBY vs GATHER2, the adjusted difference was −0.234 mm 2 (95% CI, −1.354 to 0.885; P = .68), directionally favoring pegcetacoplan monthly. After meta-analysis, the pooled effect for pegcetacoplan monthly vs avacincaptad pegol was −0.589 mm 2 (95% CI, −1.164 to −0.014; P = 0.04), statistically favoring pegcetacoplan monthly. A numerically greater reduction in GA lesion growth was observed with pegcetacoplan every other month vs avacincaptad pegol monthly (95% CI, −1.130 to −0.300; P = .25). Conclusions: Matching-adjusted indirect comparisons support a greater reduction in GA growth with pegcetacoplan monthly vs avacincaptad pegol monthly and no significant difference between pegcetacoplan every other month and avacincaptad pegol monthly.
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 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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".