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Would You Eat A Centipede to Prevent a Heart Attack?

A randomized trial shows the efficacy of Tongxinluo, a traditional Chinese medicine. But you may not want to know what is in it.

F. Perry Wilson, MD
6 min readOct 24, 2023

As some of you may know, I do a fair amount of clinical research developing and evaluating artificial intelligence models — particularly machine learning algorithms that predict certain outcomes.

And there’s this thorny issue that comes up as algorithms have gotten more complicated — it’s called “explainability”. The problem is that AI can be a black box. Even if you have a model that is very accurate at predicting death, clinicians don’t trust it unless you can explain how it makes its predictions — how it works. “It just works” is not good enough to build trust.

It’s easier to build trust when you’re talking about a medication instead of a computer program. A new blood pressure drug comes out, it lowers blood pressure, and, importantly, we know why it lowers blood pressure — every drug has a mechanism of action and — for most of the drugs in our arsenal — we know what that mechanism is.

But what if there were a drug — or maybe better yet a treatment — that worked. And I can honestly say we have no idea how it works. That’s what came across my desk today in what I believe is the largest, most rigorous trial of a traditional Chinese medication in history.

Traditional Chinese Medicine is an omnibus term that refers to a class of therapies and medical practices that are just fundamentally different from how we practice medicine in the west.

It’s a highly personalized practice — with practitioners using often esoteric means to choose what substance to give what patient.

That personalization makes traditional Chinese medicine nearly impossible to study in the typical randomized trial framework — because treatments are not chosen based solely on…

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F. Perry Wilson, MD
F. Perry Wilson, MD

Written by F. Perry Wilson, MD

Medicine, science, statistics. Associate Professor of Medicine and Public Health at Yale. Host of "Impact Factor" on Medscape.com.

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