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#Obesity is not one thing, it's many. Yet doctors often use blunt, one-size-fits-all solutions to treat their patients. Is there a better way?
I wrote about the long, difficult quest to personalize obesity treatments for
@statnews
today
The story focuses on a team at the Mayo Clinic who have been delivering obesity care by phenotype since 2016.
Some consider them pioneers in obesity precision medicine.
Others aren't so sure -- and want to see a rigorous randomized control trial testing their work.
Here's something everyone seems to agree on: For targeted obesity therapies to become mainstream, clinicians need to arrive at a consensus about how to subtype patients.
And right now, there is none — let alone agreement on how to treat subtyped patients.
Consider the mess that is identifying patients who are "metabolically healthy."
There are more than 30 different published definitions of metabolically healthy obesity. Depending on which definition you use, anywhere from 5 to 50 (!) % of people w/ obesity have it
As I wrote in the Substacks, there's not even a consensus in the medical community on how to define obesity clinically.
https://juliabelluz.substack.com/p/the-long-and-difficult-quest-to-personalize
Still, for many, the effort to tailor treatments in obesity represents a sort of holy grail, even in the context of the #GLP1 revolution and effective drugs such as #ozempic and #wegovy
We just, it seems, aren't quite there yet...