Rationale and design of PREvalence of DyspneA in patients treated with TicagrelOR (PREDATOR) program
Bibliographic record
Abstract
Background: Ticagrelor, a reversible P2Y12 inhibitor, is a mainstay of antiplatelet strategy in patients with acute coronary syndrome (ACS). However, a large number of ticagrelor-induced dyspnea decrease patients’ adherence and reduce an overall efficacy of the therapy. Design: The PREDATOR program consists of phase III and IV, multicenter, randomized, double-blind, placebo-controlled clinical trials and preceding pilot studies that assesses the prevalence and treatment of ticagrelor-induced dyspnea in coronary artery disease (CAD) and ACS patients. The PREDATOR LD is designed to evaluate the occurrence of dyspnea after 180 mg ticagrelor loading dose, and relief of dyspnea by theophylline administration in low-to-high risk acute coronary syndromes without ST-segment elevation (NSTE-ACS) and stable CAD designated to undergo invasive treatment. The PREDATOR MD is a cross-over trial in stable CAD patients 1 year after percutaneous coronary intervention for ACS. Enrolled patients will be randomized to one of four antiplatelet treatment regimens (ticagrelor 2x90 mg, ticagrelor 2x60 mg, ticagrelor 2x45 mg or clopidogrel 75 mg [morning]+placebo [evening]) or placebo and will be assessed for dyspnea at the day 7, then undergo a switch of treatment and reassessment at day 14. The sample size will be estimated based on preceding pilot studies. Discussion: The PREDATOR LD is expected to prospectively assess dyspnea rate with a loading dose of ticagrelor, and analyze a potential of theophylline to elevate symptoms of ticagrelor-induced dyspnea, while the PREDATOR MD will prospectively assess dyspnea and adverse events rate with a maintenance dose of P2Y12 inhibitors prospectively assess. All evaluations will be conducted using standardized metrics for dyspnea quantification.
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 | 0.038 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".