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Enregistrement W2941186281 · doi:10.1097/01.ju.0000555235.06238.11

PD07-02 DIVIDING PATHOLOGICALLY UPSTAGED T3A RENAL CELL CARCINOMA BASED ON CLINICAL T STAGE AT PRESENTATION IS ASSOCIATED WITH IMPROVED ALIGNMENT OF OUTCOMES: A CALL FOR TNM REVISION

2019· article· en· W2941186281 sur OpenAlexaboutno aff
Zachary Hamilton, Umberto Capitanio, Deepak Pruthi, Alessandro Larcher, Ahmet Bindayı, Stephen Ryan, Ahmed Eldefrawy, Margaret Meagher, Kendrick Yim, Sunil Patel, Brittney Cotta, Aaron Bradshaw, Fang Wan, Thomas McGregor, Francesco Montorsi, Ithaar Derweesh

Notice bibliographique

RevueThe Journal of Urology · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueRenal cell carcinoma treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePresentation (obstetrics)Stage (stratigraphy)Renal cell carcinomaCarcinomaRadiologyPathologyPaleontology

Résumé

récupéré en direct d'OpenAlex

You have accessJournal of UrologyKidney Cancer: Epidemiology & Evaluation/Staging/Surveillance I (PD07)1 Apr 2019PD07-02 DIVIDING PATHOLOGICALLY UPSTAGED T3A RENAL CELL CARCINOMA BASED ON CLINICAL T STAGE AT PRESENTATION IS ASSOCIATED WITH IMPROVED ALIGNMENT OF OUTCOMES: A CALL FOR TNM REVISION Zachary Hamilton*, Umberto Capitanio, Deepak Pruthi, Alessandro Larcher, Ahmet Bindayi, Stephen Ryan, Ahmed Eldefrawy, Margaret Meagher, Kendrick Yim, Sunil Patel, Brittney Cotta, Aaron Bradshaw, Fang Wan, Thomas McGregor, Francesco Montorsi, and Ithaar Derweesh Zachary Hamilton*Zachary Hamilton* More articles by this author , Umberto CapitanioUmberto Capitanio More articles by this author , Deepak PruthiDeepak Pruthi More articles by this author , Alessandro LarcherAlessandro Larcher More articles by this author , Ahmet BindayiAhmet Bindayi More articles by this author , Stephen RyanStephen Ryan More articles by this author , Ahmed EldefrawyAhmed Eldefrawy More articles by this author , Margaret MeagherMargaret Meagher More articles by this author , Kendrick YimKendrick Yim More articles by this author , Sunil PatelSunil Patel More articles by this author , Brittney CottaBrittney Cotta More articles by this author , Aaron BradshawAaron Bradshaw More articles by this author , Fang WanFang Wan More articles by this author , Thomas McGregorThomas McGregor More articles by this author , Francesco MontorsiFrancesco Montorsi More articles by this author , and Ithaar DerweeshIthaar Derweesh More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555235.06238.11AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Pathological upstaged pT3a for Renal Cell Carcinoma (RCC) may have a wide variance in outcomes. We sought to redefine and reclassify pT3a RCC. We investigated recurrence and survival outcomes in pT3a disease and aimed to better categorize this cohort for improvement on current TMN staging. METHODS: Multicenter retrospective analysis of patients with cT1-3aN0M0 RCC who underwent radical or partial nephrectomy. After comparison of outcomes between pT1, pT2 and pT3a, patients were substratified within the pT3a category based on presenting clinical stage. Survival outcomes in T3a RCC were compared based on initial presenting clinical T stage. Comparison was drawn between pT1, pT2 and the subdivided pT3a group (cT1→pT3a, cT2→pT3a, and cT3a→pT3a). Primary outcome was recurrence free survival (RFS). Secondary outcome was overall survival (OS). Multivariable (MVA) and Kaplan-Meier (KM) analysis were conducted to elucidate risk factors and outcomes. RESULTS: We analyzed 2573 patients (1223 RN/1350 PN, median follow up 50.8 months). On MVA, higher clinical stage was a proportionally increasing predictor for risk of upstaging [compared to cT1a, OR of upstaging for cT1b, cT2a and cT2b was 2.6, 6.5, and 14.1, p<0.001] and recurrence [compared to cT1a upstaged to pT3a, HR for cT1b, cT2a, and cT2b upstaged to pT3a was 1.04 (p=0.912), 2.59 (p=0.008), and 2.7 (p=0.009)]. With regards to RFS, when pT3a was subdivided based on presenting clinical stage, significant differences in RFS emerged which aligned differently. Compared to 5 year RFS of pT1 (94.4%), cT1→pT3a aligned with pT2 (76.6% and 81.2%, p=0.346) while cT2→pT3a aligned with cT3a→pT3a 47.4% and 44.0%, p=0.815). With regards to OS, a similar alignment was noted for 5 year OS after subdivision, where pT1 was 89.9%, while cT1→pT3a correlated with pT2 (79.8% and 83.1%, p=0.640) and cT2→pT3a correlated with cT3a→pT3a 67.0% and 64.2%; p=0.893). CONCLUSIONS: Risk of upstaging to pT3a disease and subsequent recurrence is proportional to clinical stage at presentation. Patients with cT1→pT3a have outcomes more similar to pT2, while patients with cT2→pT3a align more closely to cT3a→pT3a. Future refinements of the TNM staging system for RCC should consider re-grouping cT1→pT3a into the pT2 group. Source of Funding: Stephen Weissman Kidney Cancer Research Fund St Louis, MO; Milan, Italy; Kingston, Canada; Milan, Italy; San Diego, CA; Kingston, Canada; Milan, Italy; San Diego, CA© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e142-e143 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Zachary Hamilton* More articles by this author Umberto Capitanio More articles by this author Deepak Pruthi More articles by this author Alessandro Larcher More articles by this author Ahmet Bindayi More articles by this author Stephen Ryan More articles by this author Ahmed Eldefrawy More articles by this author Margaret Meagher More articles by this author Kendrick Yim More articles by this author Sunil Patel More articles by this author Brittney Cotta More articles by this author Aaron Bradshaw More articles by this author Fang Wan More articles by this author Thomas McGregor More articles by this author Francesco Montorsi More articles by this author Ithaar Derweesh More articles by this author Expand All 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,033
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,118

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,033
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0050,002
Science ouverte0,0020,002
Intégrité de la recherche0,0040,005
Charge utile insuffisante (le modèle a refusé de juger)0,0350,017

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.

Tête enseignante Opus0,047
Tête enseignante GPT0,320
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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