Intermittent LHRH Therapy in the Management of Castrate-resistant Prostate Cancer (CRPCa)
Bibliographic record
Abstract
BACKGROUND: Patients who develop castration-resistant prostate cancer (CRPCa) typically continue on androgen deprivation therapy (ADT). Whether these patients need to remain on ADT has not been well studied. We conducted a multicenter randomized trial to compare an intermittent versus continuous approach to ADT in CRPCa patients. Overall survival, health-related quality of life (QOL), and cost were the main endpoints. METHODS: CRPCa patients were randomized 2:1 to intermittent or continuous luteinizing hormone-releasing hormone agonists (LHRHa). Patients were followed with clinical assessments, laboratory investigations, and QOL questionnaires (EORTC QLQ-C30 or PROSQOLI) every 2 months. If the serum testosterone rose above castrate levels (1.75 nmol/L), LHRHa were reinitiated. The study was designed to close if >50% of patients needed to restart ADT in the intermittent arm. RESULTS: Thirty-one patients were followed with a median follow-up of 26.8 months-18 in the intermittent arm and 13 in the continuous. Twelve of 18 patients on the intermittent arm were reinitiated on LHRHa at a median time of 17.9 months. There was no difference in overall or cancer-specific survival between the 2 arms. There was no statistically significant difference in QOL between the 2 arms at 0 and 12 months. The total mean costs at 24 months were significantly lower in the intermittent arm ($3135 vs. $8253 Canadian dollars, P=0.0167) compared with the continuous. The main limitation of this study is the small sample size. CONCLUSIONS: We have observed that intermittent ADT in patients with CRPCa, using a testosterone of >1.75 ngmol/L as a trigger to reinitiate LHRHa, results in a substantial cost savings with no negative impact on oncologic and QOL outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".