Diagnosis and treatment of premenstrual dysphoric disorder: an update.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Premenstrual dysphoric disorder (PMDD) appears in the appendix of the DSM-IV under the heading 'depressive disorder not otherwise specified'. Yet, recently, a group of experts reached a consensus that PMDD is a distinct clinical entity with characteristic symptoms of irritability, anger, internal tension, dysphoria, and mood lability. PMDD is the more severe form of premenstrual symptomatology, whereas premenstrual syndrome (PMS) is milder and more prevalent and both must be differentiated from premenstrual magnification/exacerbation of an underlying major psychiatric disorder or a medical condition. Accurate assessment and diagnosis of significant premenstrual symptomatology is paramount and can be influenced by subjective perception, retrospective versus prospective reporting, and cultural context. The serotonergic system, which is in a close reciprocal relationship with the gonadal hormones, has been identified as the most plausible target for intervention. Results from randomized placebo-controlled trials in women with PMDD have clearly demonstrated that serotonin reuptake inhibitors (SSRIs), with daily or intermittent dosing, have excellent efficacy and minimal adverse effects and should be considered first-line treatment. Luteal phase only SSRI administration may offer an attractive treatment option for a disorder that is itself intermittent. Hormonal interventions, in particular the suppression of ovulation will eliminate premenstrual symptomatology; however, the benefits-risk ratio of these approaches should be carefully evaluated with the patient.
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.
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 it