P4832Norepinephrine transporter inhibition prevents tilt-induced vasovagal syncope: a randomized, placebo controlled trial
Bibliographic record
Abstract
Background: The norepinephrine transporter (NET) is a clearance mechanism in sympathetic neurons. Pharmacological NET inhibition increases sympathetic tone, and this has been shown to decrease tilt induced syncope in healthy subjects. There is a paucity of effective therapies for vasovagal syncope (VVS). Atomoxetine (ATOX) is a potent NET inhibitor. Objectives: We tested the hypothesis that NET inhibition with ATOX would prevent tilt-induced syncope in VVS. Methods: The POST6 study was a placebo-controlled, parallel-group, randomized trial of ATOX (40mg PO BID; n=27) vs. matched placebo (PLAC; n=29). VVS patients were given 2 doses of study drug followed by a 60 min drug-free head-up tilt table test. Results: Patients were 35±14 years (73% F) with a median of 12 lifetime faints, and 3 faints in the last year. VVS patients fainted significantly less with ATOX than PLAC (24% vs. 63%; P=0.003), but there was no difference in the rates of presyncope (76% vs. 78%; P=0.87). The mean time to faint was longer with ATOX than PLAC (49.9±18.8 min vs. 35.9±21.1 min; P=0.01). The logrank Hazard ratio for fainting with ATOX:PLAC was 0.40 (95% CI: 0.18–0.87).
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".