Time for a massive #RheumMadness thank you thread. This was a HUGE endeavor with so many contributors!

First, massive thanks to ALL OF YOU for participating! This project was always about inspiring collaborative learning. Thanks for playing, learning, debating, and sharing!
Second, huge thanks to the @RheumResearch Foundation for supporting this project through the Clinician Scholar Educator award. All aspiring educators in rheumatology, consider applying for this award! It connects you with an amazing community of educators.
Third, thank you to the fellow/resident members of the #RheumMadness leadership team: @AkiUdupa @GuyKatzMD @didemsayginmd and Allen Witt. It took a special kind of bravery to join this team and educate others on a podcast. You all are amazing!
Fourth, thank you to two of the best mentors ever: the fantastic @LisaCriscione and @Nephro_Sparks. This wouldn't have been possible without your support.
Fifth, thank you to the amazing #RheumRibbonPanel for putting those votes out there! Includes @jeffsparks @EBRheum @kristenyoung @TKTarrant, Eli Miloslavsky, Tayseer Haroun, and Beth Jonas. Read more about the panel: sites.duke.edu/rheummadness/2…
Finally - please know that #RheumMadness is just getting started! Future plans:
-More teams
-Teams won't just individual studies, they will be complex concepts
-Inclusion of Peds Rheum!

Keep your emails open for a Qualtrics survey. We want your feedback!
Oh my, left off the >40 fellows from 14 different fellowship programs who made 🔥scouting reports for the teams in the tournament.

They are the true ⭐️ of this tournament
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More from @DavidLeverenz

28 Mar
How well did the #RheumRibbonPanel match #RheumMadness participants' predictions in the #SeronegativeSixteen?

Belimumab for LN vs. Anifrolumab

👩‍⚖️Panel:
Belimumab for LN: 5
Anifrolumab: 2

👩‍💻Participants:
80% picked belimumab for LN

More in 🧵 below 👇 (1/8)
PEXIVAS vs. Avacopan

👩‍⚖️Panel:
PEXIVAS: 3
Avacopan: 4

👩‍💻Participants:
66% picked avacopan

(2/8)
IgG4-RD Classification Criteria vs. RP Subtypes

👩‍⚖️Panel:
IgG4-RD Classification Criteria: 5
RP Subtypes: 2

👩‍💻Participants:
77% picked IgG4-RD Classification Criteria

(3/8)
Read 9 tweets

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