Do androgen-directed therapies improve outcomes in prostate cancer patients undergoing radical prostatectomy? A systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Approximately 50% of patients with non-metastatic prostate cancer are treated with radical prostatectomy (RP). While some men will be cured with surgery alone, a substantial proportion will experience cancer recurrence. Androgen-directed therapy (ADT) is an effective adjuvant therapy for patients treated with prostate radiation. Comparatively, the efficacy of ADT in surgical patients has not been well-studied. METHODS: A systematic search of MEDLINE, Embase, and the Cochrane Library from inception to July 2020 was performed. Randomized trials comparing ADT with RP vs. prostatectomy alone in patients with clinically localized prostate cancer were included. Neoadjuvant ADT and adjuvant ADT interventions were assessed separately. The primary outcomes were cancer recurrence-free survival (RFS) and overall survival (OS). Pathological outcomes following neoadjuvant ADT were also evaluated. RESULTS: Fifteen randomized trials met eligibility criteria; 11 evaluated neoadjuvant ADT (n=2322) and four evaluated adjuvant ADT (n=5205). Neoadjuvant ADT (three months of treatment) did not improve RFS (hazard ratio [HR] 0.90, 95% confidence interval [CI] 0.74-1.11) or OS (HR 1.22, 95% CI 0.62-2.41). Neoadjuvant ADT significantly decreased the risk of positive surgical margins (relative risk [RR] 0.48, 95% CI 0.41-0.56) and extraprostatic tumor extension (RR 0.75, 95% CI 0.64-0.89). Adjuvant ADT improved RFS (HR 0.65, 95% CI 0.45-0.93) but did not improve OS (HR 1.02, 95% CI 0.84-1.24). CONCLUSIONS: Neoadjuvant ADT causes a pathological downstaging of prostate tumors but has not been found to delay cancer recurrence nor extend survival. Few studies have evaluated adjuvant ADT. Trials are needed to determine the benefits and harms of intermediate- or long-term adjuvant ADT for RP patients.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.028 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".