Impact of age at diagnosis on survival of hormone-refractory prostate cancer (HRPC) patients
Bibliographic record
Abstract
e16050 Background: Conflicting data exist for age as a determinant of overall survival (OS) in pts with HRPC. We hypothesize that young (<55) HRPC pts represent a more aggressive biological phenotype and therefore have a decreased OS. Methods: A retrospective chart review was conducted on 334 consective HRPC pts treated between 1995–2005. Summary statistics for demographic and clinical factors were generated, and Kaplan-Meier (KM) OS curves were created. Bivariate Cox Proportional-Hazards regression was used to test the association of age at diagnosis while adjusting for a covariate, with significant covariates entered into multivariate models. Results: Overall median survivals in the age stratified categories (<55, ≥55–65, ≥65–75, ≥75) were 5.5, 6.9, 7.9, and 4.3 yrs, with 5 yr survivals 51.9%, 67.4%, 67.0%, and 34.9%, respectively. KM curves showed divergence with an overall significant log-rank test (p < 0.0001). Compared to pts ≥65–75, the hazard ratios (HR) for HRPC pts <55 and ≥75 were 1.40 (95% CI 0.90–2.60) and 2.52 (95% CI 1.67–3.82), respectively. However, following multivariate analysis HRs for HRPC pts <55 and ≥75 were 1.60 (95% CI 0.98–2.62) and 1.25 (95% CI 0.71–2.20). Pts <55 and ≥75 presented with advanced stage at diagnosis and progressed to bone metastasis earlier. Pts ≥75 had decreased performance status, more comorbidities, higher PSA at diagnosis, shorter duration of hormone sensitive disease, and were less likely to receive chemotherapy than pts <75. The percentage of rapid PSA doubling times was highest in the <55 cohort. In multivariate analysis with age as a categorical variate, ECOG 3–4 (HR 2.65), time from diagnosis to both HRPC (HR 0.78) and bone metastasis (HR 0.80), and duration of response to androgen ablation (HR 0.86) remained highly predictive. Conclusions: Age at diagnosis influences OS in HRPC with a bimodal survival curve. Pts <55 and ≥75 present with more aggressive disease, translating into reduced median and 5 yr survivals. Other covariates, especially ECOG status, likely account for the decreased OS in the ≥75 cohort. Conversely, pts <55 had an adjusted HR of 1.60 (p = 0.06). Our study supports a growing body evidence that suggests a poor prognosis in younger men; correlating these differences at the molecular level could lead to better targeted therapies. No significant financial relationships to disclose.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".