Clinical assessment and quality of life of postmenopausal women treated with a new intermittent progestogen combination hormone replacement therapy: a placebo-controlled study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the effects of a constant-estrogen, intermittent-progestogen hormone replacement regimen (Ortho-Prefest, Ortho-McNeil Pharmaceutical, Raritan, NJ, USA) on menopausal symptoms measured by the Kupperman Index and on quality of life measured by the Menopause Quality of Life-Intervention questionnaire. DESIGN: This was a randomized, double-blind, placebo-controlled multicenter study of 90 days' duration. Nonhysterectomized, postmenopausal women with vasomotor symptoms and at least 6 months' amenorrhea were eligible. On completion of the placebo-controlled portion of the study, participants could elect to receive active treatment for an additional 90 days. RESULTS: The study enrolled 119 participants, 59 and 60 in the Prefest and placebo groups, respectively. A marked reduction of menopausal symptoms, as measured by the Kupperman Index, was observed in the active treatment group compared with the placebo group after 45 days' treatment (mean reduction, 14.8 v 7.2 points, respectively), which was sustained to day 90 (16.8 v 7.8 points; < 0.001). Similarly, greater improvement in quality of life, as measured by the Menopause Quality of Life summary score, was also observed in the active treatment group for the same period (improvement of up to 1.6 points v 0.7 points; < 0.001). The adverse event profile was unremarkable. Of the 114 participants who received the active treatment, 6 withdrew because of adverse events. CONCLUSIONS: The constant-estrogen, intermittent-progestogen regimen was highly effective in relieving menopausal symptoms and in improving quality of life and was well received by the study participants.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".