PD35-09 TALL SCORE FOR PREDICTION OF ONCOLOGICAL OUTCOMES AFTER RADICAL NEPHROURETERECTOMY FOR HIGH GRADE UPPER TRACT UROTHELIAL CARCINOMA
Notice bibliographique
Résumé
You have accessJournal of UrologyBladder Cancer: Upper Tract Tumors I1 Apr 2014PD35-09 TALL SCORE FOR PREDICTION OF ONCOLOGICAL OUTCOMES AFTER RADICAL NEPHROURETERECTOMY FOR HIGH GRADE UPPER TRACT UROTHELIAL CARCINOMA Ramy Youssef, Laura-Maria Krabbe, Shahrokh F. Shariat, Yair Lotan, Arthur Sagalowsky, Jay D. Raman, Christopher G. Wood, Alon Z. Weizer, Christian Bolenz, Mesut Remzi, Karim Bensalah, Wassim Kassouf, Francesco Montorsi, Vitaly Margulis, and UTUC Collaboration Ramy YoussefRamy Youssef More articles by this author , Laura-Maria KrabbeLaura-Maria Krabbe More articles by this author , Shahrokh F. ShariatShahrokh F. Shariat More articles by this author , Yair LotanYair Lotan More articles by this author , Arthur SagalowskyArthur Sagalowsky More articles by this author , Jay D. RamanJay D. Raman More articles by this author , Christopher G. WoodChristopher G. Wood More articles by this author , Alon Z. WeizerAlon Z. Weizer More articles by this author , Christian BolenzChristian Bolenz More articles by this author , Mesut RemziMesut Remzi More articles by this author , Karim BensalahKarim Bensalah More articles by this author , Wassim KassoufWassim Kassouf More articles by this author , Francesco MontorsiFrancesco Montorsi More articles by this author , Vitaly MargulisVitaly Margulis More articles by this author , and UTUC Collaboration More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.2422AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Grade remains the main factor determining treatment decisions for UTUC. We created a simple prognostic tool for prediction of outcomes after radical nephroureterctomy (RNU) for high grade non-metatstatic upper tract urothelial carcinoma (UTUC). METHODS Data from UTUC collaboration database was utilized to include 586 patients who underwent RNU for non-metastatic, node negative, high grade UTUC. A score was defined based on the sum of the selected independent prognostic variables from univariate and multivariate survival analyses. Survival outcomes were compared according to the score. RESULTS The study included 382 males (65%), 374 kidney tumors (64%) and 212 (34%) ureteric tumors. Pathological tumor stage (T) was T2 or less in 304 (52%) and T3/T4 in 282 (48%) patients. Sessile architecture (A) was found in 204 (35%) and lympho-vascular invasion (LVI) in 152 (26%). Lymphadectomy (L) was performed in 245 (42%). Independent prognostic factors holding significance in multivariate analysis included: T, A, LVI and L. The sum of T (0 < T1, 1= T1, 2= T2, 3= T3 and 4 equal T4), A (papillary = 0 and sessile = 1), LVI (negative = 0 and positive = 1) and L (lymphadenectomy = 0 and no lympadenectomy = 1) was entered into a TALL score (0-7). Disease free survival (DFS) and cancer specific survival (CSS) was stratified into 4 risk categories according to the TALL score: low (n= 172 [29%], TALL 0-2), intermediate (n= 152 [26%], TALL = 3), high (n= 109 [19%], TALL = 4) and very high risk (n= 153 [26%], TALL 5 or more) using Kaplan- Meier survival analyses (figure). 3 and 5 year DFS and CSS were 90, 86, 86, 86 in low, 73, 71, 79, 75 in intermediate, 63,58,55,52 in high and 39, 34, 20, 0 in very high risk categories. CONCLUSIONS We developed a simple prognostic tool for the prediction of oncological outcomes after RNU for high grade UTUC. This postoperative simplified prediction model can be utilized for counseling of patients, selection for adjuvant systemic therapies and design of clinical trials. © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e894 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Ramy Youssef More articles by this author Laura-Maria Krabbe More articles by this author Shahrokh F. Shariat More articles by this author Yair Lotan More articles by this author Arthur Sagalowsky More articles by this author Jay D. Raman More articles by this author Christopher G. Wood More articles by this author Alon Z. Weizer More articles by this author Christian Bolenz More articles by this author Mesut Remzi More articles by this author Karim Bensalah More articles by this author Wassim Kassouf More articles by this author Francesco Montorsi More articles by this author Vitaly Margulis More articles by this author UTUC Collaboration 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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| 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 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».