Esketamine nasal spray versus quetiapine XR in adults with treatment-resistant depression: a secondary analysis of the ESCAPE-TRD randomized clinical trial
Bibliographic record
Abstract
OBJECTIVE: Esketamine nasal spray (ESK) is approved in combination with an oral antidepressant (OAD) for the treatment of adults with treatment-resistant depression (TRD); however, direct comparisons with atypical antipsychotics for TRD are limited. This secondary analysis of the ESCAPE-TRD study compared rates of remission and response, and improvements in depressive symptoms over time, between ESK and quetiapine extended-release (XR) in patients with TRD treated in accordance with US prescribing information (USPI). METHODS: ESCAPE-TRD (NCT04338321) was a randomized, open-label, rater-blinded phase 3b trial investigating ESK versus quetiapine XR for acute and maintenance treatment of patients with TRD. This secondary analysis included patients aged 18-64 years who were treated/dosed according to USPI. The primary endpoint was remission, defined as Montgomery-Åsberg Depression Rating Scale (MADRS) total score ≤ 10. Treatment-emergent adverse events (TEAEs) leading to discontinuation were summarized descriptively. RESULTS: < 0.001), compared with quetiapine XR-treated patients. There were clinically and statistically significant improvements in MADRS scores with ESK versus quetiapine XR at each visit from day 8 onwards. Fewer patients discontinued treatment because of TEAEs with ESK (4.5%) versus quetiapine XR (10.1%). CONCLUSIONS: Consistent with the primary analysis, this secondary analysis demonstrated that ESK improves short- and long-term outcomes compared with quetiapine XR in patients with TRD treated according to USPI.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".