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Enregistrement W1989256807 · doi:10.1016/j.juro.2010.02.1604

1755 PROSPECTIVE COMPARISON OF OPEN AND ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY: RESULTS FROM THE UNIVERSITY OF ALBERTA RADICAL PROSTATECTOMY DATABASE

2010· article· en· W1989256807 sur OpenAlexaboutno aff
Adrian Fairey, MICHAEL G. HOBART, Derek Bochinski, Howard Evans, Michael Chetner, Neils-Erik Jacobsen, David R. Mador, Keith Rourke, Stephan Van Zyl, Don Voaklander, Jeff Zorn, Joey Roy, Eric Estey

Notice bibliographique

RevueThe Journal of Urology · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueProstate Cancer Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProstatectomyMedicineLaparoscopic radical prostatectomyGeneral surgeryProstate cancerCancerInternal medicine

Résumé

récupéré en direct d'OpenAlex

You have accessJournal of UrologyProstate Cancer: Localized VII1 Apr 20101755 PROSPECTIVE COMPARISON OF OPEN AND ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY: RESULTS FROM THE UNIVERSITY OF ALBERTA RADICAL PROSTATECTOMY DATABASE Adrian Fairey, Michael Hobart, Derek Bochinski, Howard Evans, Michael Chetner, Neils-Erik Jacobsen, David Mador, Keith Rourke, Stephan Van Zyl, Don Voaklander, Jeff Zorn, Joey Roy, and Eric Estey Adrian FaireyAdrian Fairey More articles by this author , Michael HobartMichael Hobart More articles by this author , Derek BochinskiDerek Bochinski More articles by this author , Howard EvansHoward Evans More articles by this author , Michael ChetnerMichael Chetner More articles by this author , Neils-Erik JacobsenNeils-Erik Jacobsen More articles by this author , David MadorDavid Mador More articles by this author , Keith RourkeKeith Rourke More articles by this author , Stephan Van ZylStephan Van Zyl More articles by this author , Don VoaklanderDon Voaklander More articles by this author , Jeff ZornJeff Zorn More articles by this author , Joey RoyJoey Roy More articles by this author , and Eric EsteyEric Estey More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.1604AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Limited prospective data are available comparing outcomes of open radical prostatectomy (ORP) and robot-assisted laparoscopic radical prostatectomy (RALRP). The objective of the current study was to compare ORP and RALRP with respect to short-term oncologic and clinical end points. METHODS The University of Alberta Radical Prostatectomy database is an ongoing, prospective, multi-institutional database containing information on all patients with a diagnosis of clinically localized prostate cancer treated with radical prostatectomy in Edmonton, Canada from 1 September 2007 (initiation date of RALRP program) onwards. Between 1 September 2007 and 24 March 2009, 481 consecutive men underwent radical prostatectomy (ORP=110; RALRP=371). Oncologic end points were overall and stage-stratified positive surgical margin (PSM) rates. Clinical end points were estimated blood loss (EBL), blood product transfusion, length of hospital stay, postoperative complications within 90 days of surgery, and health care access (return to the emergency room, readmission to hospital) within 90 days of surgery. All postoperative complications were analyzed and graded according to the Memorial Sloan-Kettering Secondary Surgical Events Grading System. RESULTS Baseline characteristics did not differ between groups. Overall (26.9% vs. 29.8%, difference=+2.9%, p=.558) and stage-stratified PSM rates (≤pT2 23.4% vs. 24.0%, difference=+0.6%, p=.611; >pT2 35.5% vs. 49.4%, difference=+13.9%, p=.183) did not differ between the ORP and RALRP groups. Blood product transfusion (5.5% vs. 2.2%, difference=-3.3%, p=.072), length of hospital stay (3.0 days vs. 3.0 days, difference=0 days, p=.923), postoperative complications (29.1% vs. 29.1%, difference=0%, p=.997), return to the emergency room (20.9% vs. 19.1%, difference=-1.8%, p=.681), and readmission to hospital (2.7% vs. 6.7%, difference=+4.0%, p=.115) did not differ between the ORP and RALRP groups. However, a statistically significant difference between the ORP and RALRP groups was observed for EBL (538 mL vs. 198 mL, difference=-340 mL, p<.0001). CONCLUSIONS This early analysis showed that ORP and RALRP provided comparable short-term oncologic and clinical efficacy. Surgical morbidity following ORP and RALRP is significant and, when standardized reporting guidelines are incorporated, higher than previously published. Extended follow-up of this prospective comparative cohort is required to confirm these preliminary findings. Edmonton, Canada© 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e678 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Adrian Fairey More articles by this author Michael Hobart More articles by this author Derek Bochinski More articles by this author Howard Evans More articles by this author Michael Chetner More articles by this author Neils-Erik Jacobsen More articles by this author David Mador More articles by this author Keith Rourke More articles by this author Stephan Van Zyl More articles by this author Don Voaklander More articles by this author Jeff Zorn More articles by this author Joey Roy More articles by this author Eric Estey 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 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)0,012
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 enseignants0,315
Score d'incertitude au seuil0,626

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0040,007
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,002

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 Opus0,024
Tête enseignante GPT0,302
Écart entre enseignants0,277 · 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
Publié2010
Routes d'admission1
Résumé présentoui

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