ASCO Value Framework Highlights the Relative Value of Treatment Options in Ovarian Cancer.
PURPOSE: The ASCO value framework allows physicians and patients to compare the relative value of novel treatments. Our aim was to assess the value of three frontline ovarian cancer therapies by using this framework. METHODS: From phase III, randomized controlled clinical trial (RCT) data, the net health benefits (NHBs) for three frontline ovarian cancer treatment options-dose-dense paclitaxel (Japanese Gynecologic Oncology Group study JGOG 3016), intraperitoneal (IP)/intravenous (IV) chemotherapy (Gynecologic Oncology Group [GOG] study GOG 172), and concurrent plus maintenance bevacizumab (GOG 218 and the Seventh International Collaborative Ovarian Neoplasm study [ICON7])-were calculated. The ASCO value framework calculates the NHB by using six criteria: clinical benefit, toxicity, tail of the curve, symptom palliation, treatment-free interval, and quality of life. Clinical benefit calculation uses ASCO-assigned importance weights for overall survival and progression-free survival. The maximum possible NHB points is 180. NHBs were presented alongside the drug-acquisition cost (DAC) of each therapy. A benefit-cost ratio of NHB points per additional cost was calculated. RESULTS: The NHB of dose-dense paclitaxel was 38, at an additional cost of $16 per cycle. IP cisplatin/IV + IP paclitaxel received 29 NHB points, at an additional cost of $1,629 per cycle. Concurrent plus maintenance bevacizumab received 24 NHB points, at an additional cost of $7,581 per cycle (GOG 218) or six NHB points ($3,790 per cycle; ICON7). The ratios of NHB points-to-dollar were as follows: dose-dense paclitaxel, 2.4 (highest); IP chemotherapy, 0.018; and bevacizumab, 0.003 (lowest). CONCLUSION: Using the ASCO value framework, we constructed value snapshots of three major frontline therapeutic options in ovarian cancer. Dose-dense paclitaxel provided the highest additional value when analysis accounted for NHB and cost. However, additional research is needed to include individual patient preferences and provide personalized value assessments.
Foote, J; Secord, AA; Liang, M; Cohn, DE; Jewell, E; Havrilesky, LJ
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