Department of Oncology, The Royal Marsden Hospital, London, UK.
Eur J Cancer. 2012 May;48(7):1038-47. doi: 10.1016/j.ejca.2012.02.058. Epub 2012 Mar 14.
A diverse range of treatment options and interventions are available for the management of renal cell carcinoma (RCC), allowing clinicians to tailor therapy to best meet their patient's needs and situation. However, choosing from the plethora of options can be problematic. RCC treatment guidelines advise on the most efficacious agents based upon specific clinical trial populations, but these do not always take into account all the patient factors that influence the suitability of treatment options for individual patients. This study used the validated RAND/UCLA (RAND corporation/University of California, Los Angeles) 'appropriateness methodology' to integrate clinical efficacy data with expert opinion concerning the use of specific RCC treatment options for particular patient scenarios, in an attempt to facilitate the widespread implementation of patient-focussed treatment choices. Use of the methodology has allowed us to develop treatment algorithms for patients with locally-advanced RCC and for those with metastatic disease post-nephrectomy or with primary tumour in situ. The algorithms take into account patient-specific characteristics such as tumour histology, prior treatment and known risk factors to advise whether a particular treatment intervention is appropriate, not appropriate or of uncertain appropriateness. Use of this methodology aims to develop a formalised process by which expert opinion can be integrated with clinical data and used as an additional source of information that can provide further guidance concerning difficult treatment decisions when data are absent or sparse.
治疗肾细胞癌 (RCC) 的方法和干预手段多种多样,这使临床医生能够根据患者的需求和具体情况制定最佳治疗方案。然而,在众多选择中做出决策可能存在困难。RCC 治疗指南根据特定的临床试验人群推荐最有效的药物,但这些指南并不总是考虑到影响治疗方案对个体患者适用性的所有患者因素。本研究使用经过验证的 RAND/UCLA(兰德公司/加州大学洛杉矶分校)“适宜性方法”,将临床疗效数据与特定 RCC 治疗选择在特定患者情况下的使用相关的专家意见相结合,试图促进以患者为中心的治疗选择的广泛实施。该方法的使用使我们能够为局部晚期 RCC 患者以及肾切除术后转移或原位原发性肿瘤患者制定治疗算法。这些算法考虑了患者的具体特征,如肿瘤组织学、既往治疗和已知的危险因素,以告知特定的治疗干预是否合适、不合适或不确定是否合适。该方法的使用旨在建立一个正式的流程,将专家意见与临床数据相结合,并将其作为额外的信息来源,在缺乏或数据稀少时为困难的治疗决策提供进一步的指导。