{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T20:31:53Z","timestamp":1786480313915,"version":"build-2736575974"},"reference-count":13,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"11","funder":[{"name":"Dialysis Clinic Inc","award":["4130"],"award-info":[{"award-number":["4130"]}]}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":["Kidney360"],"published-print":{"date-parts":[[2021,11]]},"abstract":"\n Key Points<\/jats:title>\n \n \n \n Donor race should not be used in models to predict allograft and patient survival.<\/jats:p>\n <\/jats:list-item>\n \n Removing donor race from the Kidney Donor Risk Index may reduce kidney discard by reclassifying approximately 50% of high kidney donor profile index kidneys.<\/jats:p>\n <\/jats:list-item>\n \n Future prediction models should focus on using relevant biologic factors rather 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