Discussion about this post

User's avatar
JDK's avatar

An awful lot of words. Less may be better.

Here is what I want to know to start:

Pre-Covid

2015-2019 death rates from myocarditis for this particular age and gender cohort.

And all cause mortality.

Post-Covid pre-vaccination

2020 death rates from myocarditis for this particular age and gender cohort.

And all cause mortality.

Post-Covid post-vaccination availability

2021-2022 death rates from myocarditis for this particular age and gender cohort broken down by vaccination and prior infection status.

And all cause mortality.

Finding signals of low probability events can be particularly challenging. We can and will make both kinds of errors.

Finding a signal of adverse event does not tell us causation. It tells us to stop and investigate. Precautionary principle tells us we should err on side of caution. We've defaulted to 95% CIs but maybe real ethical thing to do is use 99% or even higher CIs. Clinical iatrogenesis is a real thing. Innumeracy is a problem. Hypernumeracy and randomness can also fool us.

I hope that "sensible medicine" will take up challenge of answering the question: By what method shall patients and physicians take action on the basis of probability?

Let's say risk for medical intervention is 1 micromort* risk (+\-) & for not doing intervention risk is 4 micromorts (+\-): do or not? How shall patients make decision?

*micromort = 1 in a million risk of death.

Appendicitis v appendectomy risks? How might casuistry help. Finding area of circle by inscribe and circumscribed polygons is useful exercise.

A problem especially challenging for very low probability events is the (+/-).

When is 1 in million indistinguishable from 4 in million? Any point estimate of risk has error. But breath of error and shape of error (might be non-Gaussian) is often unknown.

And in all of this, I suggest we remain cognizant of reality that patients are unique individuals. An individual who has had myocarditis before vax is not the same as person who hasn't. A person who has had some undetected adenovirus concomitant with vax is not the same as someone who hasn't. Patients who get 3/4 of vax dose or 1.5 of vax dose from distracted (whether or not well trained) healthcare provider are not the same. How about the 100 pounder vs 200 pounder. Etc.

Or for statins, is 10mg ATORVASTATIN prescribed when maybe 8 or 13mg would be better but pharma doesn't want to make pills in 1,2,4,8,16,32,64 increments (we forgot how to count in binary). How would we know?

Expand full comment
Josh Guetzkow's avatar

Tracy, a major limitation of using SCCS here is if the risk of SCD in the entire period post vaccination is increased compared to pre-vaccination, then one is less likely to find an increase in risk by slicing and dicing different post-vaccination periods. So although SCCS has certain strengths, it also has significant weaknesses.

Expand full comment
99 more comments...

No posts