A retrospective observational study assessing bone metastases (mets) detection and management of patients (pts) with castration-resistant prostate cancer (CRPC) in Canada.
Bibliographic record
Abstract
161 Background: Canadian Urological Association guidelines outline the scheduling of imaging modalities based on prostate-specific antigen doubling time (PSADT) to screen for mets in pts with nonmetastatic (M0) CRPC and to manage pts with metastatic (M1) CRPC. Data describing guideline adoption and real-world timing of bone scans and treatment patterns in Canadian CRPC pts are limited. Methods: A retrospective chart review conducted at 13 Canadian urology practices included pts with CRPC (PSA ≥2 ng/mL despite androgen deprivation therapy) sequentially identified in reverse chronological order starting July 30, 2015. Pts had no mets at CRPC diagnosis (index date). Data were abstracted from the index date to the chart review date. Coprimary objectives were to describe CRPC management in terms of timing of the 1st and repeat bone scans in M0 and treatment patterns when pts became metastatic. Secondary objectives described nonbone imaging. Results: 232 pts enrolled. Over the observation period 109 remained nonmetastatic (M0 cohort); 123 developed mets (M1 cohort). Median index PSADT was ~1.5x greater for the M0 cohort than the M1 cohort. 68 pts (71.6%) in M0 and 117 pts (95.1%) in M1 had ≥1 bone scan. Median (95% CI) months from CRPC diagnosis to 1st bone scan was 7.5 (5.6–9.6) for pts in M1 and 15.7 (10.0–23.0) for pts in M0. Median (95% CI) months from identification of mets to start of treatment for the M1 cohort was 3.2 (2.3–5.7). The most common therapies were abiraterone (55%) and enzalutamide (42%), with respective median (95% CI) durations of 12.7 (8.7–23.3) and 15.7 months (10.4–NE). 25% of pts received a bone-targeted agent. Conclusions: In CRPC, time to first bone scan was shorter for pts who subsequently developed mets or had rapid PSADT. Abiraterone and enzalutamide were the most common therapies in pts with mets. [Table: see text]
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".