The current role of local treatment in metastatic prostate cancer: systematic review and meta-analysis
Bibliographic record
Abstract
The aim of this study was to evaluate the current role of local treatment in prostate cancer with a low metastatic burden (or oligometastatic) in relation to survival and safety. We performed a meta-analysis of studies published in the MEDLINE, EMBASE, and Cochrane databases until December 2021. Studies comparing local and nonlocal treatment in patients with metastatic prostate cancer were included. The risk of bias within studies was assessed using the Newcastle–Ottawa and Cochrane risk of bias tool. Oligo-metastasis was defined as low-volume metastasis with up to five lesions. The local treatment used was radical prostatectomy or external beam radiation therapy associated with systemic therapy (i.e., androgen deprivation therapy ± abiraterone, docetaxel, enzalutamide, or apalutamide). The endpoints evaluated were overall survival, cancer-specific survival, failure-free survival, and complication rates. Thirteen studies including 46,541 patients were included. The 5-year overall survival (16.0% vs. 6.5%, respectively; odds ratio (OR) 2.74; 95% confidence interval (CI), 2.18, 3.44; I2 = 0%; p < .00001) and 3-year cancer-specific survival (48.2% vs. 26.3%, respectively; OR 1.87; 95% CI: 1.44, 2.44; I2 = 0%; p < .00001) were higher in the local treatment group than that of the nonlocal treatment group. In addition, failure-free survival at 3 years was higher in the local treatment group than that of the nonlocal treatment group (40.5% vs. 28.4%, respectively; OR 1.72; 95% CI, 1.38, 2.14; I2 = 0%; p < .00001). The low complication rate of Clavien–Dindo grade ≥3 indicated that local treatment is feasible and safe in this setting. Recent data have shown that local treatment combined with systematic therapy, might improve the overall, cancer-specific, and failure-free survivals of patients diagnosed with metastatic prostate cancer. Furthermore, local treatment is both feasible and safe. Further studies evaluating the quality of life of these patients are needed.
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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 | 0.022 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.041 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".