Desvenlafaxine succinate for major depressive disorder
Bibliographic record
Abstract
Desvenlafaxine (O-desmethylvenlafaxine) is the major active metabolite of venlafaxine. Desvenlafaxine succinate is now undergoing active evaluation for its therapeutic efficacy in a variety of disorders, including major depressive disorder, vasomotor symptoms associated with menopause, fibromyalgia and diabetic neuropathy. Desvenlafaxine is a serotonin and norepinephrine reuptake inhibitor (SNRI) with similar activity to its parent compound venlafaxine, and little affinity for other brain targets, including muscarinic, cholinergic, histamine H(1) and alpha-adrenergic receptors. Desvenlafaxine has linear pharmacokinetics, low protein binding, a half-life of approximately 10 hours and is metabolized primarily via glucuronidation, and to a minor extent through CYP3A4. The desvenlafaxine succinate formulation appears to have good oral bioavailability. Clearance rates are reduced in the elderly, those with severe renal dysfunction and those with moderate to severe hepatic dysfunction, which may require dosage adjustments. Three published clinical trials have shown supportive but mixed results for the efficacy of desvenlafaxine in the treatment of major depressive disorder with daily doses ranging from 100 mg to 400 mg. One published clinical trial has shown mixed results for the efficacy of desvenlafaxine in the treatment of vasomotor symptoms associated with menopause with daily doses ranging from 50 mg to 200 mg. In these four clinical trials, desvenlafaxine was associated with several mild adverse effects, with the most common effect being nausea. Less common, but more serious, adverse effects reported in these trials included hypertension, QTc interval prolongation, exacerbation of ischemic cardiac disease, elevated lipids and elevated liver enzymes. The exact nature of these serious adverse effects, including the prevalence, clinical significance and potential risk factors, still needs to be fully elucidated. Desvenlafaxine has a low propensity for pharmacokinetic-based drug interactions, although it has the same potential for pharmacodynamic interactions as other serotonin-norepinephrine reuptake inhibitors. Desvenlafaxine is currently another treatment option for major depressive disorder. The only identified potential advantage of desvenlafaxine over venlafaxine or other antidepressant agents at this time is the apparently reduced risk for pharmacokinetic drug interactions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".