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Original Article

Accuracy diagrams: a novel way to illustrate uncertainty of estimated GFR

, , , &
Pages 199-204 | Received 04 Jul 2016, Accepted 03 Feb 2017, Published online: 28 Feb 2017

References

  • Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S. Modification of the CKD epidemiology collaboration (CKD-EPI) equation for Japanese: accuracy and use for population estimates. Am J Kidney Dis 2010;56:32–8.
  • Segarra A, de la Torre J, Ramos N, Quiroz A, Garjau M, Torres I, Azancot MA, Lopez M, Sobrado A. Assessing glomerular filtration rate in hospitalized patients: a comparison between CKD-EPI and four cystatin C-based equations. Clin J Am Soc Nephrol 2011;6:2411–20.
  • Björk J, Jones I, Nyman U, Sjöström P. Validation of the Lund-Malmö, Chronic Kidney Disease Epidemiology (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations to estimate glomerular filtration rate in a large Swedish clinical population. Scand J Urol Nephrol 2012;46:212–22.
  • Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, Kusek JW, Manzi J, Van Lente F, Zhang YL, Coresh J, Levey AS. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 2012;367:20–9.
  • Evans M, van Stralen KJ, Schon S, Prutz KG, Stendahl M, Rippe B, Jager KJ. Glomerular filtration rate-estimating equations for patients with advanced chronic kidney disease. Nephrol Dial Transplant 2013;28:2518–26.
  • Nyman U, Grubb A, Larsson A, Hansson LO, Flodin M, Nordin G, Lindström V, Björk J. The revised Lund-Malmo GFR estimating equation outperforms MDRD and CKD-EPI across GFR, age and BMI intervals in a large Swedish population. Clin Chem Lab Med 2014;52:815–24.
  • Fan L, Inker LA, Rossert J, Froissart M, Rossing P, Mauer M, Levey AS. Glomerular filtration rate estimation using cystatin C alone or combined with creatinine as a confirmatory test. Nephrol Dial Transplant 2014;29:1195–203.
  • Björk J, Grubb A, Sterner G, Bäck SE, Nyman U. Performance of GFR estimating equations stratified by measured or estimated GFR: implications for interpretation. Am J Kidney Dis 2015;66:1107–8.
  • Stevens LA, Zhang Y, Schmid CH. Evaluating the performance of equations for estimating glomerular filtration rate. J Nephrol 2008;21:797–807.
  • Grubb A, Horio M, Hansson LO, Björk J, Nyman U, Flodin M, Larssson A, Bökenkamp A, Yasuda Y, Blufpand H, Lindström V, Zegers I, Althaus H, Blirup-Jensen S, Itoh Y, Sjöström P, Nordin G, Christensson A, Klima H, Sunde K, Hjort-Christensen P, Armbruster D, Ferrero C. Generation of a new cystatin C-based estimating equation for glomerular filtration rate by use of 7 assays standardized to the international calibrator. Clin Chem 2014;60:974–86.
  • Björk J, Grubb A, Sterner G, Nyman U. Revised equations for estimating glomerular filtration rate based on the Lund-Malmö Study cohort. Scand J Clin Lab Invest 2011;71:232–9.
  • Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, 3rd., Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150:604–12.
  • Koenker R, Bassett GJ. Regression quantiles. Econometrica 1978;46:33–50.
  • Royston P, Sauerbrei W. Building multivariable regression models with continuous covariates in clinical epidemiology – with an emphasis on fractional polynomials. Methods Inf Med 2005;44:561–71.
  • Björk J, Grubb A, Larsson A, Hansson LO, Flodin M, Sterner G, Lindström V, Nyman U. Accuracy of GFR estimating equations combining standardized cystatin C and creatinine assays: a cross-sectional study in Sweden. Clin Chem Lab Med 2015;53:403–14.
  • Soveri I, Berg UB, Björk J, Elinder CG, Grubb A, Mejare I, Sterner G, Bäck SE. Measuring GFR: a systematic review. Am J Kidney Dis 2014;64:411–24.
  • Matsushita K, Selvin E, Bash LD, Astor BC, Coresh J. Risk implications of the new CKD Epidemiology Collaboration (CKD-EPI) equation compared with the MDRD study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 2010;55:648–59.
  • Rule AD, Kremers WK. What is the correct approach for comparing GFR by different methods across levels of GFR? Clin J Am Soc Nephrol 2016;11:1518–21.
  • Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Int J Nurs Stud 2010;47:931–6.
  • Murata K, Baumann NA, Saenger AK, Larson TS, Rule AD, Lieske JC. Relative performance of the MDRD and CKD-EPI equations for estimating glomerular filtration rate among patients with varied clinical presentations. Clin J Am Soc Nephrol 2011;6:1963–72.
  • Björk J, Grubb A, Nyman U. Variability in diagnostic accuracy can be estimated using simple population weighting. J Clin Epidemiol 2009;62:54–7.
  • K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Part 5. Evaluation of laboratory measurements for clinical assessment of kidney disease. Guideline 4. Estimation of GFR. Am J Kidney Dis 2002;39:S76–S92.
  • Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K. Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review. Ann Intern Med 2012;156:785–95.

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