Vorapaxar and diplopia: Possible off-target PAR-receptor mismodulation
Bibliographic record
Abstract
Vorapaxar, a novel antiplatelet thrombin PAR-1 inhibitor, has been evaluated in the successful TRA2P trial and the failed TRACER trial. The drug is currently approved for post myocardial infarction and peripheral artery disease indications with concomitant use of clopidogrel and/or aspirin. The FDA ruled that the vorapaxar safety profile is acceptable. However, both trials revealed excess diplopia (double vision) usually reversible after vorapaxar. The diplopia risk appears to be small (about 1 extra case per 1,000 treated subjects), but real. Overall, there were 10 placebo and 34 vorapaxar diplopia cases (p=0.018) consistent for TRACER (2 vs 13 cases; p=0.010) and for TRA2P (8 vs 21 cases; p=0.018). Hence, we review the FDA-confirmed evidence and discuss potential causes and implications of such a surprising adverse association, which may be related to off-target PAR receptor mismodulation in the eye.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".