The effects of agomelatine on sexual function in depressed patients and healthy volunteers
Bibliographic record
Abstract
BACKGROUND: Selective serotonin reuptake inhibitor (SSRI) and serotonin and norepinephrine reuptake inhibitor antidepressants are associated with high rates of treatment-emergent sexual dysfunction (TESD) due to stimulation of serotonin receptors. OBJECTIVE: The objective is to evaluate the effect of agomelatine on sexual function in depressed patients. METHODS: This paper reviews published and unpublished data on sexual function with agomelatine in depressed patients and healthy volunteers. RESULTS: Agomelatine, an agonist of melatonergic MT1 and MT2 receptors and antagonist of 5-HT2 receptors, is associated with similar rates of sexual dysfunction compared with placebo and lower rates compared with other antidepressants. Twice as many sexually active depressed patients (n = 193) reported a deterioration of sexual function during 12 weeks of treatment with venlafaxine compared with agomelatine (15.2% vs. 8.2%, p < 0.0001); however, no differences were found with respect to arousal. Using the Arizona Sexual Experience Scale in depressed patients (n = 399), the incidence of treatment-emergent sexual dysfunction (TESD) with agomelatine (3%) was significantly lower than placebo (8.6%) and selective serotonin reuptake inhibitors (10.1%). Among healthy male volunteers (n = 92), TESD was not increased compared with placebo in either agomelatine (25 and 50 mg/day) group over 8 weeks, and both were significantly lower than TESD with paroxetine (p < 0.0001). Moderate or severe TESD occurred in less than 5% of subjects receiving agomelatine versus 62% who received paroxetine (p < 0.001). CONCLUSION: Agomelatine demonstrates favorable sexual acceptability.
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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 | 0.002 |
| 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) | 0.001 | 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".