Is There a Detrimental Effect of Waiting for Radiotherapy for Patients With Localized Prostate Cancer?
Bibliographic record
Abstract
OBJECTIVE: To evaluate a possible deleterious effect of waiting time to radiotherapy on the biochemical relapse (BR) of patients with localized prostate cancer. PATIENTS AND METHODS: Patients included in this retrospective study had localized prostate adenocarcinoma treated with external-beam irradiation alone. Waiting time was defined as the interval between the first consultation and the first radiation treatment. BR was defined as 3 consecutive rises of prostatic specific antigen (PSA). Patients were split into 3 groups of waiting time: group A were treated within 40 days; group B waited 41 to 80 days; group C waited >80 days to receive radiotherapy. The effect of waiting on BR was estimated by the Kaplan-Meier method. Multivariate Cox proportional hazards modeling was adjusted for known prognostic factors. RESULTS: There were 289 patients who participated in the analysis. Median follow-up time was 6.1 year. Overall BR rate was 44% at 5 years. The median waiting time increased over the study period from 26 days in 1992 to 123 days in 2000. In adjusted multivariate analysis there was a nonsignificant higher risk of BR with waiting for 41 to 80 days (hazard ratio [HR] = 0.8; 95% confidence interval [CI] = 0.3-1.6) and for >80 days (HR = 0.6; 95% CI = 0.2-1.5) when compared with patients treated within 40 days after consultation. CONCLUSION: Delaying the start of radiotherapy showed little effect on the rate of BR in the group of 288 prostate cancer patients analyzed in this study.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".