EMBARK post hoc analysis of impact of treatment suspension (TxS) on health-related quality of life (HRQoL).
Bibliographic record
Abstract
5005 Background: EMBARK (NCT02319837) showed enzalutamide (ENZ) + leuprolide (L) and ENZ mono delayed metastasis-free survival vs placebo (P) + L while maintaining high global HRQoL in high-risk biochemically recurrent nonmetastatic hormone-sensitive prostate cancer. Treatment was suspended (TxS) at week 37 if PSA <0.2 ng/mL; reinstated if PSA rose to ≥2.0 ng/mL with radical prostatectomy (RP) or ≥5.0 ng/mL without RP. This analysis examined HRQoL after TxS. Methods: Longitudinal change in HRQoL from new baseline, week 37 (time of TxS), to subsequent assessments until week 205 were assessed via mixed model repeated measures using separate models for each instrument. Intention to treat analysis was used. Results: Treatment was suspended in 90.9% (321/353), 85.9% (304/354), and 67.8% (240/354) of patients treated with ENZ + L, ENZ mono, and P + L, respectively. A numerical trend inHRQoL improvement after week 37 TxS was seen in all 3 arms, which often reached clinically meaningful threshold at week 205 (Table). Post TxS, all arms reached clinically meaningful improvement in hormonal treatment side effects at the subsequent assessments of week 49 to week 97; however, patients slowly deteriorated, with clinically meaningful deterioration at week 205 relative to week 37 with ENZ + L and P + L. No statistically significant differences were observed between arms in change from week 37 to week 205. Conclusions: This post hoc analysis confirmed that TxS, as expected, leads to clinically meaningful improvements in HRQoL. Clinical trial information: NCT02319837 . [Table: see text]
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".