Jaulim A, Srinivasan A, Hori S, Kumar N, Warren A Y, Shah N C, Gnanapragasam V J
Cambridge University Hospitals NHS Foundation Trust , UK.
*Contributed equally.
Ann R Coll Surg Engl. 2018 Mar;100(3):226-229. doi: 10.1308/rcsann.2018.0001. Epub 2018 Feb 27.
Introduction The aim of this study was to explore the impact of increasing proportions of high risk referrals on surgical margin outcomes of a surgeon's learning curve in robotic prostatectomy. Methods All patients in this study underwent robot assisted radical prostatectomy (RARP) performed by three different consultant urological surgeons. Data collected included preoperative clinical stage, Gleason score and prostate specific antigen levels, which were used to risk stratify patients according to National Institute for Health and Care Excellence criteria. Oncological clearance was assessed by overall and stage specific positive margin status. Comparisons were made between each surgeon for the first and second 50 consecutive cases. Results For the three surgeons, there was a progressive increase in the proportion of high risk cases referred accompanied by a corresponding decline in low risk disease (p<0.001). Postoperative pathology also showed an upward trend in pT3 cases across the three eras. There was no statistical difference in overall positive margin rates between the surgeons. The overall rates were 12%, 20% and 23% for the first 50 cases, and 32%, 36% and 21% for the second 50 cases for the three surgeons respectively. Conclusions Our series demonstrates an upward trend in the risk profile of men referred for robotic prostatectomy over a nine-year period. Despite this, there was minimal impact on pathological and surgical outcomes among our surgeons, who were at the initial stages of their RARP learning curve. Our results suggest that there is no requirement for an active case selection bias against patients with high risk disease for surgeons newly embarking on their RARP learning experience.
引言 本研究的目的是探讨在机器人前列腺切除术中,高风险转诊比例增加对外科医生学习曲线的手术切缘结果的影响。方法 本研究中的所有患者均接受了由三位不同的泌尿外科顾问医生进行的机器人辅助根治性前列腺切除术(RARP)。收集的数据包括术前临床分期、 Gleason评分和前列腺特异性抗原水平,这些数据用于根据英国国家卫生与临床优化研究所的标准对患者进行风险分层。通过总体和分期特异性切缘阳性状态评估肿瘤清除情况。对每位外科医生的前50例和后50例连续病例进行比较。结果 对于这三位外科医生,高风险转诊病例的比例逐渐增加,同时低风险疾病的比例相应下降(p<0.001)。术后病理也显示在三个时期中pT3病例呈上升趋势。外科医生之间的总体切缘阳性率没有统计学差异。三位外科医生前50例的总体切缘阳性率分别为12%、20%和23%,后50例分别为32%、36%和21%。结论 我们的系列研究表明,在九年的时间里,接受机器人前列腺切除术的男性患者的风险状况呈上升趋势。尽管如此,对于处于RARP学习曲线初始阶段的我们的外科医生来说,对病理和手术结果的影响微乎其微。我们的结果表明,对于刚开始RARP学习经验的外科医生来说,没有必要对高风险疾病患者进行主动的病例选择偏倚。