Premenstrual dysphoric disorder: burden of illness and treatment update
Bibliographic record
Abstract
Five percent of menstruating women have severe premenstrual symptoms and impairment of functioning defined as premenstrual dysphoric disorder (PMDD). Clinically significant premenstrual symptoms occur in at least an additional 20% of menstruating women. The diagnosis of PMDD should be confirmed by prospective symptom charting over 2 menstrual cycles to confirm the timing of the symptoms and to rule out other diagnoses. The burden of illness of PMDD includes disruption of parenting and partner relationships and decreased productivity in work roles. In addition, women with PMDD have increased use of health care services such as clinician visits and increased use of prescription medications and over-the-counter preparations. The etiology of PMDD is multifactorial. In particular, dysregulation of the serotonin and allopregnanolone systems is implicated. Several effective treatment options exist, including serotonergic antidepressant medications and an oral contraceptive that contains ethinyl estradiol and drosperinone. In addition, other hormones that suppress ovulation, anxiolytics, cognitive therapy, chasteberry and calcium may be helpful.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".