Treatment options for localized prostate cancer.
Bibliographic record
Abstract
OBJECTIVE: To describe treatment options for clinically localized prostate cancer: radical prostatectomy, prostate brachytherapy, external beam radiation, and active surveillance. QUALITY OF EVIDENCE: Prostate-specific antigen (PSA) outcomes presented are from non-randomized, cohort, and other comparisons trials (level II evidence). We describe PSA outcomes from Canadian centres when they are available. One small randomized controlled trial (level I evidence) in localized prostate cancer is available to compare radical prostatectomy with brachytherapy. MAIN MESSAGE: Treatment choice in prostate cancer is based on initial PSA level, clinical stage of disease, and Gleason score, together with baseline urinary function, comorbidities, and patient age. In this article, we describe patients' eligibility for and the common side effects of all treatment options. Prostate brachytherapy and active surveillance have evolved as new standard treatments of localized prostate cancer. We give a brief overview of the brachytherapy procedure, side effects, and PSA outcomes across Canada, as well as active surveillance guidelines. CONCLUSION: Prostate cancer treatment requires a multidisciplinary approach, with input from both urology and radiation oncology. Input from family physicians is often as important in helping guide patients through the treatment decision process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".