Effects of High Ticlopidine Doses on Platelet Function in Acute Coronary Syndrome Patients
Bibliographic record
Abstract
BACKGROUND: We investigated whether higher doses of ticlopidine combined with acetylsalicylic acid would allow a faster inhibition of platelet activation and aggregation in patients with acute coronary syndromes potentially undergoing percutaneous coronary intervention with stent placement. METHODS: Seventeen patients presenting with acute coronary syndromes and candidates for possible percutaneous coronary intervention were randomized to ticlopidine 250 mg or 500 mg twice daily for 5 days. Platelet aggregation and activation were assessed at baseline before the first dose and daily for 5 days. RESULTS: After 2 days of treatment, 500 mg twice daily of ticlopidine produced a significantly larger reduction in platelet activation and aggregation than 250 mg twice daily. Mean platelet activation was 17.6 +/- 3.3% lower with 500 mg twice daily from days 3 to 6 (P < or = 0.05). Mean platelet aggregation was 16.9 +/- 0.6% lower in patients treated with the higher dose on days 3 through 6 when compared with those on ticlopidine 250 mg twice daily (P < 0.05). CONCLUSIONS: A faster and stronger inhibition of platelet activation and aggregation is obtained when 500 mg twice daily of ticlopidine is administered daily in combination with acetylsalicylic acid in patients with acute coronary syndromes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".