James Diao

Cardiology @MGHCVFellows • Research @HarvardDBMI • Associate Editor @NEJM_AI • Studying performance & equity in clinical algorithms

[James Diao @JamesADiao]

🧵1/ Last year, a thoughtful reply to our @JAMA_current article sent me down a rabbit hole on CVD prevention.

Should statins be prescribed less or more often? Available OTC? Added to the water supply??

Let’s talk trials, thresholds, and tradeoffs!

[Divya Shanmugam @dmshanmugam]

New in Nature Health: how might we move towards a world in which race is not used in clinical algorithms? We need (1) careful comparison of race-aware and race-neutral algorithms and (2) systemic efforts to address underlying disparities.

[Rohan Khazanchi, MD, MPH @rohankhaz]

💡🏥 "Wait Time Modifications for Black Transplant Candidates Affected by Race-Based Kidney Function Estimation" | @JAMAInternalMed

Our new study quantifies impacts of an unprecedented @UNOSNews policy to remedy harms of a race-based clinical algorithm.
https://t.co/1SGbQ1EVgv

[James Diao @JamesADiao]

18/ Thanks for reading! And thank you to senior author @2plus2make5 and all co-authors for all of their guidance and support on this work.

Full survey questions, data, and code provided here:
https://t.co/0PRb7aMGkx

Paper link here: https://t.co/zis1PZWuam

[James Diao @JamesADiao]

1/ We’ve heard so much from researchers and academics on the tradeoffs of using race in medicine. But what do patients want?

We conducted the first nationally representative survey to systematically study these preferences, now out in @JAMAInternalMed:

[James Diao @JamesADiao]

17/ We hope this study can highlight opportunities for improving public trust and understanding, as well as the importance of informed consent for any use of sensitive attributes in clinical care.