Synthesizing Evidence on Overall Survival and Assessing the Feasibility of Network Meta-Analyses for Previously Untreated Advanced/Metastatic Renal Cell Carcinoma Therapies
Author(s)
Grevinga M1, Szabo N2, Ejzykowicz F3, Chun DS4, Kurt M4, Malcolm B5, May J6, Kroep S7
1Pharmerit - an OPEN Health Company, Rotterdam, Netherlands, 2Pharmerit - an OPEN Health Company, Berlin, BE, Germany, 3Bristol Myers Squibb, Princeton, NJ, USA, 4Bristol Myers Squibb, Lawrenceville, NJ, USA, 5Bristol Myers Squibb, Middlesex, UK, 6Bristol Myers Squibb, Uxbridge, UK, 7Pharmerit - an OPEN Health Company, Rotterdam, ZH, Netherlands
Presentation Documents
OBJECTIVES The treatment landscape for previously untreated advanced/metastatic renal cell carcinoma (aRCC) is rapidly evolving. With this, knowledge concerning the comparability of clinical efficacy across interventions is essential beyond the available head-to-head comparisons, which mostly only include sunitinib as a comparator. This study investigates the validity of conducting a network meta-analysis (NMA) to compare overall survival (OS) in nivolumab+cabozantinib versus all relevant interventions. METHODS A systematic literature review identified all available randomized controlled trials (RCTs) in aRCC. Available evidence was synthesized by evaluating whether the set of pre-defined relevant interventions (n=12) could form a connected network of evidence. Clinical heterogeneity was assessed for study and population characteristics as well as outcome and treatment characteristics. Finally, inconsistency in observed treatment effects was evaluated. RESULTS The SLR identified 18 individual RCTs that met our inclusion criteria. Imbalances were found in the prognostic risk status at baseline. As this is a potential treatment effect modifier, networks of evidence were clustered by all-risk, intermediate-/poor-risk and favorable-risk. Non-relevant interventions were only included when required to connect the network. The all-risk network included 8 studies connecting 7 relevant interventions. The intermediate-/poor-risk network included 10 studies connecting 8 interventions. Only 3 studies were included in the favorable-risk network (4 relevant interventions). The majority of population characteristics were inconsistently reported; therefore, imbalances could not be assessed. However, the reported characteristics showed heterogeneity in ECOG score, nephrectomy, and study design in the all-risk and intermediate-/poor-risk networks. The few direct comparisons in the network supported by multiple studies did not show significant differences in their treatment effects. CONCLUSIONS While it is feasible to perform a NMA to determine the comparative efficacy of relevant interventions on OS in aRCC, results must be interpreted with caution because unobservable heterogeneity may compromise the validity of the results.
Conference/Value in Health Info
2020-11, ISPOR Europe 2020, Milan, Italy
Value in Health, Volume 23, Issue S2 (December 2020)
Code
PUK3
Topic
Clinical Outcomes
Topic Subcategory
Clinical Outcomes Assessment, Comparative Effectiveness or Efficacy
Disease
Drugs, Urinary/Kidney Disorders