{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T17:24:43Z","timestamp":1791221083438,"version":"4.1.0"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2010,3,1]],"date-time":"2010-03-01T00:00:00Z","timestamp":1267401600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100000241","name":"Physicians\u2019 Services Incorporated Foundation","doi-asserted-by":"publisher","award":["R03\u201359"],"award-info":[{"award-number":["R03\u201359"]}],"id":[{"id":"10.13039\/501100000241","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012317","name":"Astellas Pharma Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012317","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Background: The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) Study equation in patients with a relatively well-preserved kidney function. The performance of the new equation for kidney transplant recipients (KTRs) is unknown.<\/jats:p>\n               <jats:p>Methods: We used the plasma clearance of 99mTc\u2013diethylenetriamine pentaacetic acid to measure the GFR in a cohort of 207 stable KTRs and estimated the GFR with the new CKD-EPI equation.<\/jats:p>\n               <jats:p>Results: The mean bias for the CKD-EPI equation of \u22124.5 mL \u00b7 min\u22121 \u00b7 (1.73 m2)\u22121 was lower than that of the 4-variable MDRD Study equation; however, the 2 equations showed similar variation of individual biases around the mean or median bias, so that only modest improvement was seen in the overall percentage of GFR estimates within 30% of the measured GFR (84% vs 77% for the CKD-EPI vs MDRD Study equations, respectively). In the cohort with a GFR &amp;gt;60 mL \u00b7 min\u22121 \u00b7 (1.73 m2)\u22121 (n = 98), the CKD-EPI bias was much less than that of the MDRD Study equation [\u22127.4 mL \u00b7 min\u22121 \u00b7 (1.73 m2)\u22121 vs \u221214.3 mL \u00b7 min\u22121 \u00b7(1.73 m2)\u22121], and an accuracy of \u00b130% was seen for 89% of GFR estimates, compared with 77% with the MDRD Study equation. The variation of the individual biases around the mean bias remained substantial [SD = 13.7 mL \u00b7 min\u22121 \u00b7 (1.73 m2)\u22121].<\/jats:p>\n               <jats:p>Conclusions: The CKD-EPI equation shows improved estimation ability, and we recommend that it replace the MDRD Study equation as the currently preferred creatinine-based estimating equation for KTRs. The precision of GFR estimates obtained with the CKD-EPI equation remains suboptimal, however, and we recommend that research on other markers of GFR, such as cystatin C and \u03b2-trace protein, be pursued.<\/jats:p>","DOI":"10.1373\/clinchem.2009.135111","type":"journal-article","created":{"date-parts":[[2009,12,3]],"date-time":"2009-12-03T22:28:10Z","timestamp":1259879290000},"page":"474-477","source":"Crossref","is-referenced-by-count":82,"title":["Estimating Glomerular Filtration Rate in Kidney Transplantation: Is the New Chronic Kidney Disease Epidemiology Collaboration Equation Any Better?"],"prefix":"10.1093","volume":"56","author":[{"given":"Christine A","family":"White","sequence":"first","affiliation":[{"name":"Division of Nephrology, Department of Medicine, Queen\u2019s University, Kingston, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayub","family":"Akbari","sequence":"first","affiliation":[{"name":"Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada"},{"name":"Kidney Research Centre"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steve","family":"Doucette","sequence":"first","affiliation":[{"name":"Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dean","family":"Fergusson","sequence":"first","affiliation":[{"name":"Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Greg A","family":"Knoll","sequence":"first","affiliation":[{"name":"Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada"},{"name":"Kidney Research Centre"},{"name":"Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa, Ontario, 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