1797 TUMOR SIZE IS ASSOCIATED WITH THE RATE OF SYNCHRONOUS METASTASES IN PATIENTS WITH SMALL RENAL CELL TUMORS
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Résumé
You have accessJournal of UrologyKidney Cancer: Advanced II1 Apr 20101797 TUMOR SIZE IS ASSOCIATED WITH THE RATE OF SYNCHRONOUS METASTASES IN PATIENTS WITH SMALL RENAL CELL TUMORS Giovanni Lughezzani, Claudio Jeldres, Lars Budäus, Shahrokh F. Shariat, Maxine Sun, Daniel Liberman, Rodolphe Thuret, Philippe Arjane, Hugues Widmer, Markus Graefen, Paul Perrotte, Francesco Montorsi, and Pierre I. Karakiewicz Giovanni LughezzaniGiovanni Lughezzani Milano, Italy More articles by this author , Claudio JeldresClaudio Jeldres Montreal, Canada More articles by this author , Lars BudäusLars Budäus Hamburg, Germany More articles by this author , Shahrokh F. ShariatShahrokh F. Shariat Montreal, Canada More articles by this author , Maxine SunMaxine Sun Montreal, Canada More articles by this author , Daniel LibermanDaniel Liberman Montreal, Canada More articles by this author , Rodolphe ThuretRodolphe Thuret Montpellier, France More articles by this author , Philippe ArjanePhilippe Arjane Montreal, Canada More articles by this author , Hugues WidmerHugues Widmer Montreal, Canada More articles by this author , Markus GraefenMarkus Graefen Hamburg, Germany More articles by this author , Paul PerrottePaul Perrotte Montreal, Canada More articles by this author , Francesco MontorsiFrancesco Montorsi Milano, Italy 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.2010.02.1721AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Small renal masses between 1.1 and 4.0 cm can be visualized and confirmed histologically with a high degree of certainty. We examined the rate of synchronous metastases (SM) in patients with renal cell carcinoma (RCC) 1.1 to 4.0 cm in size within a large population-based tumor registry. METHODS We tested the relationship between tumor size and SM in a population of 27780 patients with small renal masses diagnosed and/or treated with nephrectomy for histologically-proven RCC within 17 SEER registries between 1988 and 2006. Cubic spline analyses and logistic regression models were used to test this relationship after adjusting for other covariables, such as age, gender, race, RCC histological subtype and year of diagnosis. RESULTS Within the study population the rate of SM was 4.5%. Stratification according to 1 cm tumor size intervals revealed that the SM rate increased with increasing tumor size: 1.1-2.0 cm: 3.1%; 2.1-3.0 cm: 4.0%; 3.1-4.0 cm: 5.7% (chi-square trend; p<0.001). Cubic spline analysis showed that rate of SM is starts to increase exponentially when tumor size exceeds 2.5 centimeters. Continuously coded tumor size represented an independent predictor of SM in multivariate regression models (OR: 1.04; p<0.001). When tumor size was divided into 1 cm intervals, patients with 2.1-3.0 and with 3.1-4.0 cm RCCs had respectively a 1.2- and a 1.7-fold higher risk of harboring SM (p<0.05). Finally, advanced age (p<0.001), male gender (p<0.001), African-American race (p=0.03) and more contemporary year of diagnosis (p=0.02) also represented independent predictors of SM. CONCLUSIONS Tumor size is related to SM rate even in patients with small (1.1 to 4.0) RCCs. The rate of SM increases exponentially when tumor size exceeds 2.5 cm. Conversely, no differences in metastatic rates were observed below this threshold. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e697 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Giovanni Lughezzani Milano, Italy More articles by this author Claudio Jeldres Montreal, Canada More articles by this author Lars Budäus Hamburg, Germany More articles by this author Shahrokh F. Shariat Montreal, Canada More articles by this author Maxine Sun Montreal, Canada More articles by this author Daniel Liberman Montreal, Canada More articles by this author Rodolphe Thuret Montpellier, France More articles by this author Philippe Arjane Montreal, Canada More articles by this author Hugues Widmer Montreal, Canada More articles by this author Markus Graefen Hamburg, Germany More articles by this author Paul Perrotte Montreal, Canada More articles by this author Francesco Montorsi Milano, Italy 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 | 0,004 |
| 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 | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».