1831 THE PROGNOSTIC ABILITY OF VARIOUS NODAL CODING SCHEMES IN BLADDER CANCER PATIENTS TREATED WITH RADICAL CYSTECTOMY: RESULTS FROM THE SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS DATABASE
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Résumé
You have accessJournal of UrologyBladder Cancer: Invasive/Metastatic Disease III1 Apr 20101831 THE PROGNOSTIC ABILITY OF VARIOUS NODAL CODING SCHEMES IN BLADDER CANCER PATIENTS TREATED WITH RADICAL CYSTECTOMY: RESULTS FROM THE SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS DATABASE Giovanni Lughezzani, Claudio Jeldres, Shahrokh F. Shariat, Lars Budaus, Maxine Sun, Daniel Liberman, Rodolphe Thuret, Mattia Sangalli, Seth P. Lerner, 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 , Shahrokh F. ShariatShahrokh F. Shariat Montreal, Canada More articles by this author , Lars BudausLars Budaus Hamburg, Germany 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 , Mattia SangalliMattia Sangalli Milano, Italy More articles by this author , Seth P. LernerSeth P. Lerner Houston, TX 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.2010.02.1769AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Several coding schemes have been proposed to best define the prognostic value of nodal status at radical cystectomy, namely lymph node density, number of positive nodes, number of removed nodes, and pathologic N-substages of the TNM classification. We compared the prognostic ability of these definitions for the prediction of cancer-specific mortality (CSM). METHODS Between 1988 and 2006, 7624 assessable patients underwent radical cystectomy and pelvic lymphadenectomy within 17 Surveillance, Epidemiology, and End Results registries. Univariable and multivariable Cox regression analyses addressed the prognostic impact of different nodal status coding schemes on CSM after surgery. Covariates consisted of age, gender, pT stage and tumor grade. Harrell's concordance index quantified accuracy and 200 bootstrap resamples were used to correct for overfit bias. RESULTS In multivariable analyses addressing CSM after surgery, nodal stage, regardless of its coding, achieved the independent predictor status (p<0.001). Lymph node density represented the most informative predictor of CSM in the entire cohort (gain in predictive accuracy: 2.6%), followed by pN-substages (gain in predictive accuracy: 2.5%) and by the lymph-node density categorized in <20% and >20% (gain in predictive accuracy: 2.3%). However, the differences in predictive accuracy between the three coding schemes were not statistically significant. CONCLUSIONS Although several nodal coding schemes may appear conceptually attractive, from a prognostic perspective the pathologic N-substages perform well and represent a nodal coding scheme that all clinicians are familiar with. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e711 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 Shahrokh F. Shariat Montreal, Canada More articles by this author Lars Budaus Hamburg, Germany 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 Mattia Sangalli Milano, Italy More articles by this author Seth P. Lerner Houston, TX 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 | 0,001 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».