Therapeutic patents for the treatment of premenstrual syndrome and premenstrual dysphoric disorder: historical perspectives and future directions
Bibliographic record
Abstract
Approximately 5 – 8% of women report premenstrual symptoms severe enough to impair daily function and are said to suffer from premenstrual dysphoric disorder (PMDD). Many more report milder symptoms, which, collectively, are termed premenstrual syndrome (PMS). Over the last 40 years, hundreds of compounds have been patented for the treatment of PMS and PMDD, including hormone-based therapies, serotonergic drugs, vitamins and minerals, and dietary supplements. Advances continue to be made, including the development of compounds with GABAergic activity and gonadotropin-releasing hormone antagonists. This historical overview will highlight key patents for the treatment of PMS/PMDD that have appeared since 1963 and thus trace the evolving understanding of the aetiology of these disorders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".