Robotic radical prostatectomy: Fools rush in, or the early bird gets the worm?
Notice bibliographique
Résumé
Robotic prostatectomy seems to be here to stay. Currently, over 50% of radical prostatectomies (RPs) in the United States are done robotically. The article by Dr. Chin and colleagues1 provides a perspective on this trend. Robotic technology represents a challenge to our Canadian system, yet it has rapidly spread throughout the US (where there are over 350 robots). With the da Vinci, the advantages of magnification and binocular vision, 6 or more degrees of freedom, and reduced fatigue (surgeons sit during the procedure) are apparent. Demonstrating an improved outcome should only be a matter of time, one would think. Yet, compared with open surgery, the data so far show no clear evidence of improved oncologic outcome or side effect profile, despite the decreased blood loss and reduced transfusion requirements of robotic surgery (compared with open surgery, not conventional laparoscopic surgery). However, the duration of hospital stay, analgesic requirements, time off work and recovery seem relatively similar. The robotic approach, however, needs more advantages to justify the cost. Improved outcome may be difficult to demonstrate. Variation in outcome with respect to PSA recurrence, potency sparing and incontinence varies a great deal, even among high-volume surgeons. These variations seem to be more dependent on the surgeons, as opposed to the different techniques of accessing the prostate.2 The experience reported by Chin and colleagues supports this observation. The results are acceptable, but not stellar: a positive margin rate of 30%, 10% of patients with moderate and 20% with mild stress incontinence, an average hospital stay of 3.5 days and an average of 12 days with an indwelling catheter. These results will likely improve over time, but the results of an experienced surgeon doing open radical prostatectomy are a high bar. Another difficult issue in the rush toward robotic prostatectomy is the volume-quality outcome relation. The outcome is best when the surgeon's annual volume is 50 cases or more. Given the cost of the da Vinci and the length of the learning curve,3 it makes sense that robotic prostatectomy would be performed in high volumes by a few surgeons at centres of excellence. In attempting to maintain market share, every hospital in the US, large or small, is motivated to acquire the device. Nonetheless, 90% of US urologists who do RP perform fewer than 10 annually. Additionally, once these units are acquired, they take on their own mandate: “Use Me,” resulting in the unseemly marketing of robotic prostatectomy as a minimally invasive procedure with no morbidity. Horsefeathers. Minimal access does not mean minimally invasive, and the morbidity reported to date is comparable to the open approach. One hopes that in Canada we will demonstrate some maturity in our approach to this expensive device. A few robots (perhaps 5–10) should be purchased by acknowledged centres of excellence across the country, where a limited number of surgeons would maintain a high volume of cases and quickly develop expertise. Further dispersion of the robot beyond these centres should await solid data showing improvement in clinically significant oncologic and quality of life related outcomes.
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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 | 0,004 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,003 | 0,009 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,003 |
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 ».