Having a hard time with this one! Study of 15K pt w/ newly diagnosed T2D, partial or complete regression seen in 49.4% (in patients not receiving medical care) (95% CI 45.2–53.7); after adjustment for "regression to the mean", in 20.2% (95% CI 12.1–28.3).https://care.diabetesjournals.org/content/early/2020/11/06/dc20-2030?fbclid=IwAR29E5iL0HBgWP4WIRDQeuL_PW_5BM9r-HrQ-3nYmwImXrfem8Zm14OVzug …
-
Show this thread
-
@Dr__Guess &@BrownAdey have you looked at this reference? 1) I'm having a hard time believing remission is that frequent in the unsupported population but 2) have had my suspicions that RTM amplifies appearance of effect esp. when studies don't have a control group.2 replies 0 retweets 1 likeShow this thread -
You could argue that it is, to some extent, due to the arbitrariness of our definitions. Going from HbA1c of 6.5 to 6.3, for example, is not that unlikely after diagnosis I would imagine?
1 reply 0 retweets 2 likes -
w/o lifestyle intervention, 50% of patients going from classification of T2D to not is surprising to me. 30% of that attributed to statistical phenomena of RTM which you understand much better than I! The latter seems important re: considering intervention for T2d remission.
1 reply 0 retweets 2 likes -
Well yes, that's why you need RCTs!
1 reply 0 retweets 2 likes -
Replying to @GidMK @MichaelMindrum and
As one senior epi I work with likes to say, 99% of our work is just eliminating the effects of regression to the mean
1 reply 0 retweets 2 likes -
sounds like words of wisdom! why didn't they teach me about this stuff in medical school?
1 reply 0 retweets 1 like
Imo the main reason (as someone who's never been to medical school) is that medical school isn't aimed at teaching people how to conduct or evaluate research, even though that is an important skill that healthcare staff use quite often
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.