this post was submitted on 07 Apr 2024
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Jazmin Evans had been waiting for a new kidney for four years when her hospital revealed shocking news: She should have been put on the transplant list in 2015 instead of 2019 — and a racially biased organ test was to blame.

As upsetting as that notification was, it also was part of an unprecedented move to mitigate the racial inequity. Evans is among more than 14,000 Black kidney transplant candidates so far given credit for lost waiting time, moving them up the priority list for their transplant.

“I remember just reading that letter over and over again,” said Evans, 29, of Philadelphia, who shared the notice in a TikTok video to educate other patients. “How could this happen?” 

At issue is a once widely used test that overestimated how well Black people’s kidneys were functioning, making them look healthier than they really were — all because of an automated formula that calculated results for Black and non-Black patients differently. That race-based equation could delay diagnosis of organ failure and evaluation for a transplant, exacerbating other disparities that already make Black patients more at risk of needing a new kidney but less likely to get one.

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[–] Maalus@lemmy.world 3 points 7 months ago (2 children)

Yeah, in medicine there are differences between medicine for white and black people. Probably same thing happening here for a test and one side being "overtuned". There are most likely some differences, but the amount between them was too much.

[–] RealFknNito@lemmy.world 2 points 7 months ago

Right but the issue here is that the article is slamming the study for 'race-based equations' when medicine quite literally relies on taking every single variable, including race, into account. The fact they're "less likely to get one" is not based solely on race as much as the article would like to insinuate that it is.

[–] fruitycoder@sh.itjust.works 2 points 7 months ago

Phenotype and genotypes are obviously useful in medicine, but "black" and "white" are measures of one phenotype in binary measure despite it being a spectrum in itself.