Intensification of Systemic Therapy in Addition to Definitive Local Treatment in Nonmetastatic Unfavourable Prostate Cancer: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
CONTEXT: Several recent randomised trials have evaluated the role of combination systemic treatment using androgen deprivation therapy (ADT) plus chemotherapy or an androgen receptor signaling inhibitor (ARSI) in patients with high-risk and/or unfavourable nonmetastatic prostate cancer (nmPC). OBJECTIVE: To assess the outcomes associated with adding combination systemic treatment to primary definitive local therapy in patients with high-risk and/or unfavourable nmPC. EVIDENCE ACQUISITION: We queried the PubMed, Web of Science, and Scopus databases and conference abstracts to identify prospective randomised trials examining the value of adding chemotherapy or an ARSI to ADT and primary local therapy with curative intent for nmPC. The primary endpoints were overall survival (OS), cancer-specific survival (CSS), metastasis-free survival (MFS), and failure-free survival (FFS). Secondary endpoints included adverse events (AEs) and pathologic outcomes. EVIDENCE SYNTHESIS: We identified 15 randomised studies, of which nine evaluated chemohormonal and six investigated ARSI-based treatment strategies. In both radical prostatectomy (RP) and radiation therapy (RT) settings, addition of docetaxel to ADT was associated with significantly better CSS (pooled hazard ratio [HR] 0.68, 95% confidence interval [CI] 0.49-0.95; p = 0.025), MFS (pooled HR 0.82, 95% CI 0.71-0.95; p = 0.008), and FFS (pooled HR 0.70, 95% CI 0.62-0.79; p < 0.001); the difference did not meet the conventional level of statistical significance for OS (pooled HR 0.86, 95% CI 0.73-1.01; p = 0.072). For patients treated with RT alone, docetaxel-based combination treatment did not meet the significance threshold set for OS (p = 0.3), CSS (p = 0.072), or MFS (p = 0.079), but the difference for FFS was statistically significant (pooled HR 0.72, 95% CI 0.63-0.84; p < 0.001). On network meta-analyses including RT studies, ARSI + ADT outperformed docetaxel + ADT for survival endpoints and had a more favourable AE profile. CONCLUSIONS: Intensification of systemic therapy with docetaxel or an ARSI in addition to ADT improves oncologic endpoints in high-risk and/or unfavourable nmPC treated with local definitive therapy. The highest efficacy was achieved with ARSI + ADT, specifically in patients treated with RT. PATIENT SUMMARY: Our findings highlight that selected patients with high-risk nonmetastatic prostate cancer benefit from intensification of systemic therapy beyond hormonal treatment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".