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Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
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Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
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Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma

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Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma
Journal Article

Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma

2026
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Overview
Background Despite not achieving statistical significance, the JAVELIN Renal 101 trial indicated a potentially clinically relevant effect size (hazard ratio [HR], 0.88; 95% confidence interval, 0.75 to 1.04) on overall survival (OS) favoring avelumab plus axitinib over sunitinib for advanced renal cell carcinoma (aRCC). To better interpret these findings, we performed a Bayesian evaluation. Methods We reanalyzed individual participant data from the JAVELIN Renal 101 trial using a Bayesian framework. Prior distributions were specified for varying levels of enthusiasm and skepticism for avelumab plus axitinib, and a prior from a meta‐analysis of similar trials. The posterior probability of any OS benefit with avelumab plus axitinib, Pr(HR < 1.0), and of benefit exceeding the minimal clinically important difference (MCID; HR = 0.75), Pr(HR < MCID), were estimated using Bayesian Cox models. Bayesian hierarchical models evaluated treatment effect heterogeneity across International Metastatic Renal Cell Carcinoma Database Consortium risk groups and programmed death‐ligand 1 (PD‐L1) status. Results Regardless of the prior assumptions used, Pr(HR < 1.0) was consistently high (93.0% to 95.5%). However, Pr(HR < MCID) was low (1.0% to 3.8%). Results were similar when the prior was informed by pooled data from similar trials. In subgroup analyses, Pr(HR < MCID) varied by risk group: 63.4% for poor‐risk, 34.9% for favorable‐risk, and 0.9% for intermediate‐risk aRCC. This probability was low regardless of PD‐L1 status. Conclusions This exploratory Bayesian reanalysis complements the interpretation of the JAVELIN Renal 101 trial and offers a probabilistic perspective beyond a dichotomous (i.e., significant/nonsignificant) interpretation.