Desvenlafaxine for the treatment of major depressive disorder
Bibliographic record
Abstract
INTRODUCTION: Major depressive disorder (MDD) is a chronic and debilitating condition often characterized by inadequate treatment. Notwithstanding the availability of more than a dozen first-line agents across disparate classes (e.g., selective serotonin reuptake inhibitors), the majority of individuals with MDD do not achieve and sustain a recovered state. A substantial percentage of MDD patients require a treatment change due to poor efficacy or tolerability. AREAS COVERED: This review focuses on recent (≤ 5 years) literature describing the pharmacokinetics, efficacy, and tolerability of desvenlafaxine , one of the more recently approved antidepressant drugs. Published papers identified via PubMed search and congress presentations were included. Results from short-term, placebo-controlled, MDD trials and randomized withdrawal trials, as well as post hoc analyses in patient subgroups, are reviewed. EXPERT OPINION: Desvenlafaxine has been shown to be an effective antidepressant with a favorable safety and tolerability profile in the general MDD population and in important patient subgroups. It has several notable differences from other serotonin-norepinephrine reuptake inhibitors, and those differences suggest populations in which it may have the most clinical benefit.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 | 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 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".