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How to think about vaccine results

This past Monday, pharmaceutical company Pfizer announced preliminary clinical trial results for its COVID-19 vaccine. In an interim analysis of the vaccine’s phase 3 study, the vaccine was shown to be 90% effective in preventing COVID-19. In other words, based on the people in Pfizer’s study who have become diagnosed with COVID-19 so far, those who got vaccinated were 90% less likely to get sick compared with the people who did not.

90% is an exciting number. The Food & Drug Administration (FDA) set a threshold of 50% effectiveness for COVID-19 vaccines to be authorized, and experts have been telling us for months that even a 60% or 70% effectiveness would still be incredibly useful in reducing infections across the population. Pfizer’s initial 90% rate blows those expectations out of the water.

Plus, this effectiveness value bodes well for other vaccine candidates. Pfizer’s vaccine, developed through a partnership with German biotech BioNTech, uses a new vaccine technology based on synthetic messenger RNA, or mRNA; so does the vaccine developed by Moderna, which is also currently in clinical trials. (For more backstory on mRNA, BioNTech, and Moderna, I highly recommend Damian Garde’s feature in STAT News.)

But we can’t get too excited. Pfizer reported its preliminary data not in a peer-reviewed scientific paper, but in a press release, and some key details about the company’s clinical trial are not yet public. I used information from STAT NewsKHN, and SciLine to compile a few key questions that should be in all of our minds as we think about this and future vaccine data releases.

Even when a vaccine is authorized by the FDA, distributing and tracking it poses a whole new set of questions. I’ve written about vaccine data before, and I expect that this will be a topic I cover in increasing detail during the months to come.

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