Frailty and adverse clinical outcomes in prostate cancer patients: An analysis from the RADICAL-PC cohort.
Bibliographic record
Abstract
80 Background: As a disease of older individuals, prostate cancer (PC) may feature physical frailty. Most related studies are retrospective and focus on short-term surgical outcomes. Methods: We conductedan analysis of a prospective study of PC patients either diagnosed within the past year, treated with androgen deprivation therapy (ADT) for the first time within the past six months, or scheduled to initiate ADT within a month . Frailty was assessed using Fried's criteria which includes five domains [Handgrip strength, gait speed, physical activity, unintentional weight loss (>4 kg/year) and exhaustion (≥3 days/week)]. Patients were classified as frail (≥3 criteria), pre-frail (1-2 criteria), or robust (0 criteria). Participants were followed annually to ascertain the occurrence of mortality, new metastases, major adverse cardiovascular events (MACE: myocardial infarction, stroke, cardiovascular death, stroke, heart failure, peripheral arterial disease, venous thromboembolism or arterial revascularization) and hospitalization. The relationship between frailty and these events was evaluated by Cox proportional hazards models adjusted for age at enrolment, education, race, tobacco and alcohol use, diabetes, past history of cardiovascular disease, estimated glomerular filtration rate, PC risk, metastatic disease and ADT exposure. Results: We studied 4304 participants (mean age 69±8 years) from 9 countries: 1429 (33%) were robust, 2394 (56%) pre-frail and 481 (11%), frail. During a median 2.4 years, 336 (8%) died, 161 (4%) died from PC or developed new metastases, 506 (12%) were hospitalized and 262 (6%) experienced MACE. Being prefrail or frail was associated with a higher risk of death, hospitalization and MACE but not PC death or new metastases (Table). Conclusions: Pre-frailty and frailty are common among patients with PC. Frailty is associated with approximately a two-fold increase in mortality, hospitalization or MACE in PC patients independent of a wide range of prognostic factors. Relationship between frailty and clinical outcomes. Characteristic Death Hospitalization PC death or new metastases MACE Hazard ratio (95% confidence interval) p-value Hazard ratio (95% confidence interval) p-value Hazard ratio (95% confidence interval) p-value Hazard ratio (95% confidence interval) p-value Frailty Robust Pre-frail Frail Ref1.54(1.13-2.00)2.90(2.00-4.21) 0.007<0.001 Ref1.39(1.10-1.74)2.29(1.70-3.09) 0.005<0.001 Ref1.05(0.70-1.57)1.47(0.85-2.52) 0.830.17 Ref1.44(1.05-1.97)2.21(1.46-3.34) 0.023<0.001 Estimates are from Cox proportional hazards models adjusted for age at enrolment, education, race, tobacco and alcohol use, diabetes, past history of cardiovascular disease, estimated glomerular filtration rate, PC risk, metastatic disease and ADT exposure.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".