A novel regimen of combination transdermal estrogen and intermittent vaginally administered progesterone for relief of menopausal symptoms
Bibliographic record
Abstract
OBJECTIVES: To determine the safety and efficacy of a novel regimen of transdermal estrogen and vaginally administered progesterone for treatment of menopausal symptoms. STUDY METHODS: A retrospective chart review was conducted of menopausal patients aged 46-65, using an oestradiol patch and vaginally administered prometrium for at least 1 year. Available transvaginal ultrasound (TVUS) measurements of endometrial thickness and endometrial biopsy results after at least 1 year of treatment were collated. Symptom relief, bleeding and side effects were reviewed. RESULTS: Forty-one patients were identified, using an estrogen patch ranging from 25 to 100 μg twice weekly and vaginal prometrium either continuously 3-5 days weekly (36 patients), or sequentially 12 days/month (5 patients). Seventeen patients were lost to follow-up or discontinued therapy within 1 year. Only 23.5% (4/17 patients) of patients who had a TVUS after 1 year (or sooner if bleeding occurred) had a thickened endometrial lining on ultrasound (>5 mm), and all of these had normal endometrial biopsies. By 1 year of follow-up, 91.7% of patients were amenorrhoeic. All patients had relief of menopausal symptoms. CONCLUSIONS: Vaginal administration of progesterone as part of combined estrogen plus progestin therapy has the potential for decreasing side effects while maintaining endometrial safety and amenorrhoea. Larger prospective trials are warranted.
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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) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".