FDA approval process is terribly flawed
<<"The applicant has not provided sufficient data to evaluate the efficacy of panitumumab therapy," Division of Biologic Products Team Leader Kaushik Shastri wrote in a Sept. 26, 2006 memo, noting that Amgen did demonstrate improvement in PFS. Despite the modest effect size, FDA reviewers rationalized that for this patient population, there are no other treatment options, and the benefit-risk assessment is favorable under accelerated approval guidelines.>>
There is another treatment option. It is Erbitux being already approved by the same FDA group.
<<In his statistical review of overall survival, Lead Mathematical Statistician Mark Rothman disagreed with this analysis and the usefulness of using PFS as a predictor of overall survival . "Among the 232 patients on the BSC arm, 175 received panitumumab after investigator ascertainment of disease progression," he said. "For the patients in the study, overall survival was practically equal between the two arms. So not giving the patients on the BSC arm any anti-cancer therapy until they had an investigator ascertainment of disease progression or died, and then giving 175 of the survivors panitumumab led to the same overall survival as giving panitumumab upfront to the patients on the panitumumab arm. This does not say much for the meaningfulness of a PFS event in its relationship with overall survival."
It is obviously clear that, in their (FDA) desire to approve panitumumab, FDA leadership decided to disregard and ignore the statistical science embedded in the foundation of the approval process.