1828 SURVIVAL AFTER RADICAL CYSTECTOMY OF NON-BILHARZIAL SQUAMOUS CELL CARCINOMA VS. UROTHELIAL CARCINOMA: A NORTH-AMERICAN POPULATION-BASED STUDY
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Résumé
You have accessJournal of UrologyBladder Cancer: Invasive/Metastatic Disease III1 Apr 20101828 SURVIVAL AFTER RADICAL CYSTECTOMY OF NON-BILHARZIAL SQUAMOUS CELL CARCINOMA VS. UROTHELIAL CARCINOMA: A NORTH-AMERICAN POPULATION-BASED STUDY Daniel Liberman, Claudio Jeldres, Giovanni Lughezzani, Lars Badaus, Maxine Sun, Shahrokh F. Shariat, Paul Perrotte, Hugues Widmer, Francesco Montorsi, Markus Graefen, and Pierre I. Karakiewicz Daniel LibermanDaniel Liberman More articles by this author , Claudio JeldresClaudio Jeldres More articles by this author , Giovanni LughezzaniGiovanni Lughezzani More articles by this author , Lars BadausLars Badaus More articles by this author , Maxine SunMaxine Sun More articles by this author , Shahrokh F. ShariatShahrokh F. Shariat More articles by this author , Paul PerrottePaul Perrotte More articles by this author , Hugues WidmerHugues Widmer More articles by this author , Francesco MontorsiFrancesco Montorsi More articles by this author , Markus GraefenMarkus Graefen More articles by this author , and Pierre I. KarakiewiczPierre I. Karakiewicz More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.1766AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES We sought to examine stage at radical cystectomy (RC), as well as cancer-specific mortality (CSM) rates in nonbilharzial squamous cell carcinoma (SCC) RC patients relative to patients with urothelial carcinoma (UC) RC of the urinary bladder within a large population-based cohort. We hypothesized that SCC histological subtype fares a worse survival than UC patients. METHODS Of 12311 RC cases, we identified 614 (5.0%) SCC versus 11697 (95.0%) UC individuals within 17 Surveillance, Epidemiology, and End Results (SEER) registries, between 1988 and 2006. Differences in the rates of CSM were assessed using the cumulative incidence plots that control for non-cancer related mortality. Univariable and multivariable competing-risks regression models addressed the effect of histological subtype at RC for prediction of CSM. Covariates consisted of age, gender, year of diagnosis, race, pathological T and N stages, as well as tumor grade. RESULTS After accounting for other-cause mortality, the cumulative CSM rates at 5 years were 40.3 and 35.1% for SCC vs. UC patients (p<0.001, Gray). For the same time point, the CSM rates in organ confined (OC) disease were 25.0 and 19.8% for SCC vs. UC patients (p=0.2, Gray) and 46.3 and 49.3% respectively for the same groups of patients in non-organ confined (NOC) disease (p=0.8, Gray). In multivariable competing-risks regression models, SCC was not associated with a statistically significantly higher rate of CSM than UC histological subtype (p=0.06, Gray). Similarly, SCC was unassociated with a higher risk of CSM after stratification according to OC and NOC disease (p=0.2 and p=0.1, Gray). CONCLUSIONS SCC is rare, and more frequently associated with non-organ confined disease. After accounting for non-cancer related mortality, which was never previously done with Cox regression models, SCC was not statistically significantly related to a worse prognosis than UC subtypes. Montreal, Canada© 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183 Issue 4S April 2010 Page: e709 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.Metrics Author Information Daniel Liberman More articles by this author Claudio Jeldres More articles by this author Giovanni Lughezzani More articles by this author Lars Badaus More articles by this author Maxine Sun More articles by this author Shahrokh F. Shariat More articles by this author Paul Perrotte More articles by this author Hugues Widmer More articles by this author Francesco Montorsi More articles by this author Markus Graefen More articles by this author Pierre I. Karakiewicz 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».