203: Effect of Surgical Margins on Cancer Control Outcomes after Radical Prostatectomy. When do Margins Matter?
Bibliographic record
Abstract
INTRODUCTION AND OBJECTIVE: Men newly diagnosed with prostate cancer are typically offered aggressive treatment if they are judged likely to live for at least 1 0 years; however, physicians are illequipped to make this determination.We describe the association between the Total Illness Burden Index-Prostate Cancer (TIBI-CaP), a validated self-reported measure of comorbidities unrelated to prostate cancer, and subsequent mortality.METHODS: In October 2002 the self-reported TIBI-CaP was sent to all 4,634 men actively participating in CaPSURE, an observational cohort of prostate cancer patients.Of the 3,409 surveys (73%) returned, the TIBI-CaP summary score was calculable for 2,891 men with follow-up.Deaths were reported to the CaPSURE registry by participating physicians and next-of-kin while cause of death was obtained from death certificates. Kaplan-M~ier survival analysis and Cox proportional hazards regressionwere used to describe the association between the TIBI-CaP score and non-prostate cancer related (NPC) mortality.RESULTS: During the 2.5 years following administration of the TIBI-CaP, 101 men (3.5%) died of NPC causes, and 16 men died of prostate cancer (their data were censored at date of death).The mean TIBI-CaP score was 3.6±2.7 (possible range, 0-23; actual range, 0-18).Kaplan-Meier analysis revealed that NPC survival at 2 years was 99% (95% Cl = 0.98-1.00) in men with TIBI-CaP scores of 0-2, but only 75% (95% Cl = 0.58-0.86) in those with TIBI-CaP scores of 2:12.After controlling for education and age, the Cox hazard ratios were 1.9 (95% Cl=1.0-3.6) for scores 3-5, 4.0 (2.1-7.7) for scores 6-8, 6.6 (3.1-14.2) for scores 9-11, and 20.0 (8.9-45.0)for scores 2:12 when compared with men whose scores were 0-2.In the multivariate model, race/ethnicity, income, marital status, and prostate cancer severity did not predict mortality.Including prostate cancer related deaths did not change the results.CONCLUSIONS: TIBI-CaP score was a strong predictor of nonprostate cancer related mortality in this cohort.This provides evidence of the clinical utility of this measure in assessing comorbidity in order to inform treatment decisions in men with prostate cancer.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".