The pharmacotherapeutic management of premenstrual dysphoric disorder
Bibliographic record
Abstract
Introduction Premenstrual dysphoric disorder (PMDD) is a prevalent psychiatric condition associated with substantial mental distress, impaired psychosocial functioning, high rates of co-morbid psychiatric conditions, and elevated risk of suicide.Areas covered We provide an update on epidemiology, pathophysiology, clinical presentation, and diagnosis of PMDD, with a focus on the pharmacological management of this condition.Expert opinion Given the high rates of false positives from retrospective assessments, prospective daily symptom monitoring for a minimal of two symptomatic menstrual cycles is critical to accurately confirm (or rule out) the diagnosis of PMDD. Serotonin-based antidepressants are well-established first-line treatments of PMDD. Second-line treatment includes the use of combined, monophasic oral contraceptives. In mild to moderate cases, independent meta-analyses have shown efficacy of Chasteberry extract (Vitex agnus cactus). Preliminary results with compounds blocking the synthesis of allopregnanolone are promising.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.003 | 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 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".