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Enregistrement W3046876126 · doi:10.1097/01.ju.0000556885.55209.5f

PD50-10 AFRICAN AMERICAN RACE IS NOT ASSOCIATED WITH RECLASSIFICATION DURING ACTIVE SURVEILLANCE: RESULTS FROM THE CANARY PROSTATE CANCER ACTIVE SURVEILLANCE STUDY (PASS)

2019· article· en· W3046876126 sur OpenAlexaboutno aff
Jeannette M. Schenk, Anna Faino, Lisa F. Newcomb, James D. Brooks, Peter R. Carroll, Atreya Dash, Christopher P. Filson, Martin Gleave, Michael A. Liss, Francis Martin, Todd M. Morgan, Peter S. Nelson, Ian M. Thompson, Andrew A. Wagner, Daniel W. Lin

Notice bibliographique

RevueThe Journal of Urology · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueProstate Cancer Treatment and Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineProstate cancerRace (biology)Watchful waitingAfrican americanSexually activeOncologyCancerInternal medicineGynecologyDemographyEnvironmental healthPopulationGender studies

Résumé

récupéré en direct d'OpenAlex

You have accessJournal of UrologyProstate Cancer: Localized: Active Surveillance II (PD50)1 Apr 2019PD50-10 AFRICAN AMERICAN RACE IS NOT ASSOCIATED WITH RECLASSIFICATION DURING ACTIVE SURVEILLANCE: RESULTS FROM THE CANARY PROSTATE CANCER ACTIVE SURVEILLANCE STUDY (PASS) Jeannette M. Schenk, Anna V. Faino, Lisa F. Newcomb*, James D. Brooks, Peter R. Carroll, Atreya Dash, Christopher P. Filson, Martin E. Gleave, Michael Liss, Francis M. Martin, Todd M. Morgan, Peter S. Nelson, Ian M. Thompson, Andrew A. Wagner, and Daniel W. Lin Jeannette M. SchenkJeannette M. Schenk More articles by this author , Anna V. FainoAnna V. Faino More articles by this author , Lisa F. Newcomb*Lisa F. Newcomb* More articles by this author , James D. BrooksJames D. Brooks More articles by this author , Peter R. CarrollPeter R. Carroll More articles by this author , Atreya DashAtreya Dash More articles by this author , Christopher P. FilsonChristopher P. Filson More articles by this author , Martin E. GleaveMartin E. Gleave More articles by this author , Michael LissMichael Liss More articles by this author , Francis M. MartinFrancis M. Martin More articles by this author , Todd M. MorganTodd M. Morgan More articles by this author , Peter S. NelsonPeter S. Nelson More articles by this author , Ian M. ThompsonIan M. Thompson More articles by this author , Andrew A. WagnerAndrew A. Wagner More articles by this author , and Daniel W. LinDaniel W. Lin More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556885.55209.5fAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Recent studies have reported that African American (AA) men are at an increased risk of progression on Active Surveillance (AS) compared to Caucasians (CA). However, many of these studies are based on relatively few AA, have limited follow-up and may be subject to detection biases related to compliance with AS regimens or biopsy recommendations. The objective of this study was to evaluate whether race is associated with risk of reclassification in a well-established prospective AS cohort that utilizes protocol-driven PSA measurements and surveillance biopsies. METHODS: Data are from the multicenter Canary Prostate Active Surveillance Study (PASS). PSAs are collected every 3 months and surveillance biopsies are protocol-recommended at 6-12 months after initial diagnosis, 24 months, and every 2 years thereafter. Men included in this study had Gleason grade 3+3 or 3+4 at diagnosis, < 5 years between diagnosis and enrollment, and had undergone ≥ 1 surveillance biopsy. Cox proportional hazards models were used to examine differences between AA and CA men and time to reclassification, defined as an increase in Gleason score on subsequent biopsy and adverse pathology at prostatectomy, defined as pT3a or greater or Gleason grade group 3 or greater. RESULTS: Of the 1,315 men in this study, 89(7%) were AA and 1,226(93%) were CA. Compared to CA, AA had significantly higher median PSA and PSA density at diagnosis (5.6 vs 4.9, p<0.001; 0.14 vs 0.11, p=0.01). Overall treatment rates were comparable between AAs and CAs, though AAs were more likely to undergo radiation and CAs were more likely to undergo radical prostatectomy (57% vs 38% and 56% vs 43%, respectively, p>0.05 for both). In multivariate models adjusted for diagnostic biopsy and clinical variables, AA race was not significantly associated with the risk of reclassification (HR=1.16, p=0.45). Among men who had a prostatectomy, the rate of adverse pathology was similar for AA and CA (31% vs 27%, p=0.76). CONCLUSIONS: In a prospective cohort of men on AS who follow a standardized protocol of regular PSA and biopsy, AA race was not associated with risk of adverse pathologic reclassification or adverse pathology at prostatectomy. These results provide support for the choice of AS for AA men and suggest that biases related to racial disparity in screening, access to care, and patterns of treatment may contribute to conflicting results from prior studies. Source of Funding: Canary Foundation; DoD W81XWH1410595 Seattle, WA; Palo Alto, CA; San Francisco, CA; Seattle, WA; Atlanta, GA; Vancouver, Canada; San Antonio, TX; Virginina Beach, VA; Ann Arbor, MI; Seattle, WA; San Antonio, TX; Boston, MN; Seattle, WA© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e916-e916 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jeannette M. Schenk More articles by this author Anna V. Faino More articles by this author Lisa F. Newcomb* More articles by this author James D. Brooks More articles by this author Peter R. Carroll More articles by this author Atreya Dash More articles by this author Christopher P. Filson More articles by this author Martin E. Gleave More articles by this author Michael Liss More articles by this author Francis M. Martin More articles by this author Todd M. Morgan More articles by this author Peter S. Nelson More articles by this author Ian M. Thompson More articles by this author Andrew A. Wagner More articles by this author Daniel W. Lin 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)0,002
score de la tête « metaresearch » (Gemma)0,007
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,304
Écart entre enseignants0,281 · 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

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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