Sitaxsentan Therapy for Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Sitaxsentan may benefit patients with pulmonary arterial hypertension by blocking the vasoconstrictor effects of endothelin-A while maintaining the vasodilator/clearance functions of endothelin-B receptors. Patients with pulmonary arterial hypertension that was idiopathic, related to connective tissue disease or congenital heart disease, were randomized to receive placebo (n = 60), sitaxsentan 100 mg (n = 55), or sitaxsentan 300 mg (n = 63) orally once daily for 12 weeks. The primary endpoint was change in peak VO(2) at Week 12. Secondary endpoints included 6-minute walk, New York Heart Association class, VO(2) at anaerobic threshold, VE per carbon dioxide production at anaerobic threshold, hemodynamics, quality of life, and time to clinical worsening. Although the 300-mg group increased peak VO(2) compared with placebo (+3.1%, p < 0.01), none of the other endpoints derived from cardiopulmonary exercise testing were met. However, both the 100-mg dose and the 300-mg dose, compared with placebo, increased 6-minute walk distance (100 mg: +35 m, p < 0.01; 300 mg: +33 m, p < 0.01); functional class, cardiac index, and pulmonary vascular resistance also improved (p < 0.02 for each parameter at both doses). The incidence of elevated aminotransferase values (> three times normal) was 3% for the placebo group, 0% for the 100-mg group, and 10% for the 300-mg group.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".