Database Studies Can Support sNDAs: Study
Harvard Medical School researchers say that in some situations, database studies may support supplemental applications for effectiveness for already approved drugs. Writing in JAMA Internal Medicine, the researchers describe their use of healthcare databases to replicate the study of Boehringer Ingelheim’s antihypertensive Micardis (telmisartan) for a supplemental indication to reduce cardiovascular risk. Study patients had been given either Micardis or Pfizer’s Altace (ramipril), or a combination of the two.
“Among patients newly prescribed telmisartan and ramipril before FDA’s decision to approve a supplemental indication for telmisartan,” the article says, “we found results that were almost identical to those of the randomized clinical trial that led to telmisartan’s supplementary indication.”
The researchers say their study is one of the largest to analyze real-world data to mirror a large randomized clinical trial that had established the clinical basis for a supplemental indication for a medication.
“FDA is currently considering how it will use nonrandomized, real-world data as part of a supplemental indication application,” the authors conclude…. “Many context-specific questions about study design, confounding control, data quality, and outcome validity will need to be considered…. Regulators have a difficult task in providing specific rules for decision making in this maturing yet still developing and highly context-specific field. However, if done selectively and with principled methods, it might be feasible to use nonrandomized, real-world data to provide supportive evidence in establishing supplemental drug indications.”