Prevention of Syncope Trial (POST): a randomized clinical trial of beta blockers in the prevention of vasovagal syncope Rationale and study design
Bibliographic record
Abstract
BACKGROUND: Few therapies for vasovagal syncope have been proven effective. A large, placebo-controlled clinical trial of beta-blockers is needed. STRUCTURE OF STUDY: The Prevention of Syncope Trial (POST) is a multicentre, randomized, placebo-controlled, study of metoprolol in the prevention of vasovagal syncope. The primary hypothesis is that beta-blockers will increase the time to the first recurrence of syncope when compared with placebo. Patients will be randomized 1:1 to receive metoprolol or placebo, and followed for 1 year. The primary endpoint is the time to first syncope recurrence, and secondary endpoints include syncope frequency, presyncope, and quality of life. INCLUSION AND EXCLUSION CRITERIA: Patients are eligible if they have a positive tilt test and 3 syncopal spells preceding the tilt test. They are excluded if they have seizures or other causes of syncope; important heart disease; a contraindication to or need for beta blockers; a permanent pacemaker; a major noncardiovascular disease; or previous use of beta blockers at a dose greater than the equivalent of metoprolol 25mg twice daily for the purpose of suppressing vasovagal syncope. POWER CALCULATIONS: We assume a 40% risk of syncope in the control arm, an absolute reduction of 20% by metoprolol, and a dropout of 20%. Entry of 220 patients will result in an 80% chance of reaching a positive conclusion about beta-blocker therapy with 2p=0.05.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".