1821 ADVANCED AGE IS AN INDEPENDENT PREDICTOR OF CANCER-SPECIFIC MORTALITY AFTER RADICAL CYSTECTOMY FOR TRANSITIONAL CELL CARCINOMA OF THE URINARY BLADDER
Bibliographic record
Abstract
You have accessJournal of UrologyBladder Cancer: Invasive/Metastatic Disease III1 Apr 20101821 ADVANCED AGE IS AN INDEPENDENT PREDICTOR OF CANCER-SPECIFIC MORTALITY AFTER RADICAL CYSTECTOMY FOR TRANSITIONAL CELL CARCINOMA OF THE URINARY BLADDER Lars Budäus, Giovanni Lughezzani, Claudio Jeldres, Daniel Liberman, Maxine Sun, Shahrokh F. Shariat, Paul Perrotte, Hugues Widmer, Philippe Arjane, Francesco Montorsi, Markus Graefen, and Pierre I. Karakiewicz Lars BudäusLars Budäus Hamburg, Germany More articles by this author , Giovanni LughezzaniGiovanni Lughezzani Milano, Germany More articles by this author , Claudio JeldresClaudio Jeldres Montreal, Canada More articles by this author , Daniel LibermanDaniel Liberman Montreal, Canada More articles by this author , Maxine SunMaxine Sun Montreal, Canada More articles by this author , Shahrokh F. ShariatShahrokh F. Shariat Montreal, Canada More articles by this author , Paul PerrottePaul Perrotte Montreal, Canada More articles by this author , Hugues WidmerHugues Widmer Montreal, Canada More articles by this author , Philippe ArjanePhilippe Arjane Montreal, Canada More articles by this author , Francesco MontorsiFrancesco Montorsi Milano, Italy More articles by this author , Markus GraefenMarkus Graefen Hamburg, Germany More articles by this author , and Pierre I. KarakiewiczPierre I. Karakiewicz Montreal, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.1759AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Prognostic significance of advanced age on cancer-specific mortality (CSM) following radical cystectomy (RC) remains controversial. Previous data demonstrated that advanced age predisposed to an increase in CSM, but in other studies it had no effect. However, in those reports, other-cause mortality (OCM), which may affect the rates of CSM, was unaccounted for. To further refine the existing analyses, we attempted to assess the effect of advanced age on CSM after RC within a large population-based cohort using competing-risks regression models. METHODS Using the Surveillance, Epidemiology, and End Results (SEER)-17 database, we identified 11854 patients who were treated with RC for transitional cell carcinoma of the BCa. Age was stratified into four decades:≤59 years old, 60-69 years old, 70-79 years old, and ≥80 years old. Univariable and multivariable logistic regression models examined the effect of age on T and N stages at RC. Subsequently, cumulative incidence plots explored the impact of age on CSM rates, after accounting for OCM. Finally, competing-risks regression models tested the independent predictor status of age in CSM analyses. RESULTS In multivariable logistic regression models, increasing age achieved independent predictor status (60-69: OR=1.07, 95% CI=0.96-1.18, ≥80: OR=1.29, 95% CI=1.12-1.47, p<0.001). After controlling for OCM, the cumulative CSM rates at five years for age categories ≤59, 60-69, 70-79 and ≥80 years were respectively 31.6% vs. 35.1% vs. 35.6% vs. 43.6% (p<0.001). In multivariable competing-risks regression analyses, increasing age achieved an independent predictor status of CSM (60-69: HR=1.13, 95% CI=1.04-1.24, ≥80: HR=1.62, 95% CI=1.44-1.82, p<0.007). CONCLUSIONS Advanced age at RC for transitional cell carcinoma of the BCa is independently associated with significantly different outcomes, even after adjusting for the possibly confounding effect of OCM. This may imply that older patients are treated less readily with RC than their younger counterparts. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e707 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Lars Budäus Hamburg, Germany More articles by this author Giovanni Lughezzani Milano, Germany More articles by this author Claudio Jeldres Montreal, Canada More articles by this author Daniel Liberman Montreal, Canada More articles by this author Maxine Sun Montreal, Canada More articles by this author Shahrokh F. Shariat Montreal, Canada More articles by this author Paul Perrotte Montreal, Canada More articles by this author Hugues Widmer Montreal, Canada More articles by this author Philippe Arjane Montreal, Canada More articles by this author Francesco Montorsi Milano, Italy More articles by this author Markus Graefen Hamburg, Germany More articles by this author Pierre I. Karakiewicz Montreal, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".