1821 ADVANCED AGE IS AN INDEPENDENT PREDICTOR OF CANCER-SPECIFIC MORTALITY AFTER RADICAL CYSTECTOMY FOR TRANSITIONAL CELL CARCINOMA OF THE URINARY BLADDER
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Résumé
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 ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».