Real-world experience managing unresectable or metastatic small cell carcinoma of the prostate
Bibliographic record
Abstract
INTRODUCTION: Unresectable and metastatic small cell carcinoma of the prostate (SCPC) is a rare and aggressive disease that is under-represented in clinical trials. We carried out a retrospective chart review of metastatic or unresectable SCPC patients at British Columbia (BC) Cancer centers, studying diagnosis and treatment patterns. METHODS: Drug-dispensing records from the six BC Cancer centers were obtained from 2002-2017. For each patient, information was collected on baseline information prior to therapy and for each line of treatment. Treatments at each line were compared regarding time to progression and overall survival by Kaplan-Meier curves. RESULTS: Forty-one patients received treatment; 65.6% had metastatic disease and 61% had pure small cell carcinoma. Median time from treatment to death was 10 months (95% confidence interval [CI] 6-16). Patients with initially prostate-confined disease had a better median overall survival (mOS) of 21 months (95% CI 13-34) compared to those with initially locally advanced (mOS 19 months, 95% CI 5-37) and metastatic disease (mOS 8 months, 95% CI 6-10) (log-rank p=0.0364). All patients received either cisplatin- or carboplatin-based combination chemotherapy as the first-line treatment and 36.7% received second-line therapy. Time to second-line therapy was eight months for those who presented with metastatic SCPC, compared to 13 months for those with initial non-metastatic SCPC. CONCLUSIONS: This single-province, multi-institution cohort reports data on unresectable and metastatic SCPC and highlights the poor prognosis of this rare disease entity.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".