{"id":"W3201595862","doi":"10.1056/nejmoa2102953","title":"New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race","year":2021,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":4056,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Heart, Lung, and Blood Institute; National Eye Institute; National Institute on Aging; Canadian Institutes of Health Research; U.S. Public Health Service; National Institutes of Health; Gilead Sciences; Juvenile Diabetes Research Foundation United States of America; National Center for Advancing Translational Sciences; National Center for Health Statistics; Steno Diabetes Center Copenhagen; Roche; Tufts Medical Center; Ministère des Solidarités et de la Santé; Kaiser Permanente; University of Minnesota; Merck; National Institute of Diabetes and Digestive and Kidney Diseases; Lunds Universitet; Bristol-Myers Squibb","keywords":"Creatinine; Cystatin C; Race (biology); Renal function; Cystatin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01266276,0.001005051,0.001110809,0.003977962,0.000256076,0.001390985,0.002191529,0.0007470007,0.001911145],"category_scores_gemma":[0.03412097,0.0006168063,0.003251125,0.00226371,0.0002783095,0.001564273,0.001481964,0.001600489,0.0004042257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649187,"about_ca_system_score_gemma":0.002164501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418226,"about_ca_topic_score_gemma":0.02489931,"domain_scores_codex":[0.991174,0.003439125,0.001148121,0.001283699,0.002785754,0.0001692691],"domain_scores_gemma":[0.983602,0.006026666,0.002899865,0.001389574,0.005834321,0.0002475113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008237647,0.0003262295,0.664537,0.002593736,0.01205664,0.0002135502,0.0005506002,0.01736096,0.002150289,0.007738299,0.03106215,0.2605868],"study_design_scores_gemma":[0.001655523,0.0009363585,0.67239,0.002889902,0.01469166,0.002371099,0.0002658846,0.1386123,0.006628543,0.01380448,0.1454016,0.0003525425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3173471,0.08071571,0.5365315,0.005848201,0.003725021,0.002676994,0.03310388,0.001378172,0.01867348],"genre_scores_gemma":[0.5786485,0.01597453,0.3753535,0.002713915,0.000910396,0.002506659,0.01812348,0.000216628,0.005552382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418226,"threshold_uncertainty_score":0.06696784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865820588801708,"score_gpt":0.3369671226588433,"score_spread":0.3183089167708262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}