메뉴 건너뛰기




Volumn 67, Issue 5, 2016, Pages 779-786

Predicting Progression in CKD: Perspectives and Precautions

Author keywords

biomarkers; chronic kidney disease (CKD); decision making; disease progression; Index Words Prediction models; outcomes; prognosis; review; risk calculator; risk equation; risk prediction tool; usefulness; validity

Indexed keywords

ALBUMIN; BIOLOGICAL MARKER; BRAIN NATRIURETIC PEPTIDE; CREATININE; CYSTATIN C; FIBROBLAST GROWTH FACTOR 23; TROPONIN;

EID: 84963954546     PISSN: 02726386     EISSN: 15236838     Source Type: Journal    
DOI: 10.1053/j.ajkd.2015.11.007     Document Type: Review
Times cited : (23)

References (48)
  • 1
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: A novel method for evaluating prediction models
    • A.J. Vickers, and E.B. Elkin Decision curve analysis: a novel method for evaluating prediction models Med Decis Making 26 6 2006 565 574
    • (2006) Med Decis Making , vol.26 , Issue.6 , pp. 565-574
    • Vickers, A.J.1    Elkin, E.B.2
  • 2
    • 33644855006 scopus 로고    scopus 로고
    • Translating clinical research into clinical practice: Impact of using prediction rules to make decisions
    • B.M. Reilly, and A.T. Evans Translating clinical research into clinical practice: impact of using prediction rules to make decisions Ann Intern Med 144 3 2006 201 209
    • (2006) Ann Intern Med , vol.144 , Issue.3 , pp. 201-209
    • Reilly, B.M.1    Evans, A.T.2
  • 3
    • 84921328517 scopus 로고    scopus 로고
    • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
    • G.S. Collins, J.B. Reitsma, D.G. Altman, and K.G. Moons Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement BMJ 350 2015 g7594
    • (2015) BMJ , vol.350 , pp. g7594
    • Collins, G.S.1    Reitsma, J.B.2    Altman, D.G.3    Moons, K.G.4
  • 4
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: A framework for traditional and novel measures
    • E.W. Steyerberg, A.J. Vickers, N.R. Cook, and et al. Assessing the performance of prediction models: a framework for traditional and novel measures Epidemiology 21 1 2010 128 138
    • (2010) Epidemiology , vol.21 , Issue.1 , pp. 128-138
    • Steyerberg, E.W.1    Vickers, A.J.2    Cook, N.R.3
  • 5
    • 0031006441 scopus 로고    scopus 로고
    • A comparison of goodness-of-fit tests for the logistic regression model
    • D.W. Hosmer, T. Hosmer, S. Le Cessie, and S. Lemeshow A comparison of goodness-of-fit tests for the logistic regression model Stat Med 16 9 1997 965 980
    • (1997) Stat Med , vol.16 , Issue.9 , pp. 965-980
    • Hosmer, D.W.1    Hosmer, T.2    Le Cessie, S.3    Lemeshow, S.4
  • 6
    • 84904008367 scopus 로고    scopus 로고
    • A note on the evaluation of novel biomarkers: Do not rely on integrated discrimination improvement and net reclassification index
    • J. Hilden, and T.A. Gerds A note on the evaluation of novel biomarkers: do not rely on integrated discrimination improvement and net reclassification index Stat Med 33 19 2014 3405 3414
    • (2014) Stat Med , vol.33 , Issue.19 , pp. 3405-3414
    • Hilden, J.1    Gerds, T.A.2
  • 7
    • 84893314692 scopus 로고    scopus 로고
    • Does the net reclassification improvement help us evaluate models and markers?
    • A.J. Vickers, and M. Pepe Does the net reclassification improvement help us evaluate models and markers? Ann Intern Med 160 2 2014 136 137
    • (2014) Ann Intern Med , vol.160 , Issue.2 , pp. 136-137
    • Vickers, A.J.1    Pepe, M.2
  • 8
    • 78649907201 scopus 로고    scopus 로고
    • Everything you always wanted to know about evaluating prediction models (but were too afraid to ask)
    • A.J. Vickers, and A.M. Cronin Everything you always wanted to know about evaluating prediction models (but were too afraid to ask) Urology 76 6 2010 1298 1301
    • (2010) Urology , vol.76 , Issue.6 , pp. 1298-1301
    • Vickers, A.J.1    Cronin, A.M.2
  • 9
    • 84876396728 scopus 로고    scopus 로고
    • Risk prediction models for patients with chronic kidney disease: A systematic review
    • N. Tangri, G.D. Kitsios, L.A. Inker, and et al. Risk prediction models for patients with chronic kidney disease: a systematic review Ann Intern Med 158 8 2013 596 603
    • (2013) Ann Intern Med , vol.158 , Issue.8 , pp. 596-603
    • Tangri, N.1    Kitsios, G.D.2    Inker, L.A.3
  • 10
    • 84872797683 scopus 로고    scopus 로고
    • A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods
    • G.S. Collins, O. Omar, M. Shanyinde, and L.M. Yu A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods J Clin Epidemiol 66 3 2013 268 277
    • (2013) J Clin Epidemiol , vol.66 , Issue.3 , pp. 268-277
    • Collins, G.S.1    Omar, O.2    Shanyinde, M.3    Yu, L.M.4
  • 11
    • 84868213179 scopus 로고    scopus 로고
    • Risk prediction in chronic kidney disease: Pitfalls and caveats
    • C. Rigatto, M.M. Sood, and N. Tangri Risk prediction in chronic kidney disease: pitfalls and caveats Curr Opin Nephrol Hypertens 21 6 2012 612 618
    • (2012) Curr Opin Nephrol Hypertens , vol.21 , Issue.6 , pp. 612-618
    • Rigatto, C.1    Sood, M.M.2    Tangri, N.3
  • 12
    • 84870256739 scopus 로고    scopus 로고
    • Risk models to predict chronic kidney disease and its progression: A systematic review
    • J.B. Echouffo-Tcheugui, and A.P. Kengne Risk models to predict chronic kidney disease and its progression: a systematic review PLoS Med 9 11 2012 e1001344
    • (2012) PLoS Med , vol.9 , Issue.11 , pp. e1001344
    • Echouffo-Tcheugui, J.B.1    Kengne, A.P.2
  • 13
    • 33847415871 scopus 로고    scopus 로고
    • SCreening for Occult REnal Disease (SCORED): A simple prediction model for chronic kidney disease
    • H. Bang, S. Vupputuri, D.A. Shoham, and et al. SCreening for Occult REnal Disease (SCORED): a simple prediction model for chronic kidney disease Arch Intern Med 167 4 2007 374 381
    • (2007) Arch Intern Med , vol.167 , Issue.4 , pp. 374-381
    • Bang, H.1    Vupputuri, S.2    Shoham, D.A.3
  • 14
    • 79960333392 scopus 로고    scopus 로고
    • Predicting renal risk in the general population: Do we have the right formula?
    • M.W. Taal Predicting renal risk in the general population: do we have the right formula? Clin J Am Soc Nephrol 6 7 2011 1523 1525
    • (2011) Clin J Am Soc Nephrol , vol.6 , Issue.7 , pp. 1523-1525
    • Taal, M.W.1
  • 15
    • 0035922441 scopus 로고    scopus 로고
    • Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy
    • B.M. Brenner, M.E. Cooper, D. de Zeeuw, and et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy N Engl J Med 345 12 2001 861 869
    • (2001) N Engl J Med , vol.345 , Issue.12 , pp. 861-869
    • Brenner, B.M.1    Cooper, M.E.2    De Zeeuw, D.3
  • 16
    • 79955015634 scopus 로고    scopus 로고
    • A predictive model for progression of chronic kidney disease to kidney failure
    • N. Tangri, L.A. Stevens, J. Griffith, and et al. A predictive model for progression of chronic kidney disease to kidney failure JAMA 305 15 2011 1553 1559
    • (2011) JAMA , vol.305 , Issue.15 , pp. 1553-1559
    • Tangri, N.1    Stevens, L.A.2    Griffith, J.3
  • 17
    • 80053504925 scopus 로고    scopus 로고
    • Measured GFR does not outperform estimated GFR in predicting CKD-related complications
    • C.Y. Hsu, K. Propert, D. Xie, and et al. Measured GFR does not outperform estimated GFR in predicting CKD-related complications J Am Soc Nephrol 22 10 2011 1931 1937
    • (2011) J Am Soc Nephrol , vol.22 , Issue.10 , pp. 1931-1937
    • Hsu, C.Y.1    Propert, K.2    Xie, D.3
  • 18
    • 34447105854 scopus 로고    scopus 로고
    • The Framingham predictive instrument in chronic kidney disease
    • D.E. Weiner, H. Tighiouart, E.F. Elsayed, and et al. The Framingham predictive instrument in chronic kidney disease J Am Coll Cardiol 50 3 2007 217 224
    • (2007) J Am Coll Cardiol , vol.50 , Issue.3 , pp. 217-224
    • Weiner, D.E.1    Tighiouart, H.2    Elsayed, E.F.3
  • 19
    • 34250696915 scopus 로고    scopus 로고
    • Improving outcomes from acute kidney injury: Report of an initiative
    • A. Levin, D.G. Warnock, R.L. Mehta, and et al. Improving outcomes from acute kidney injury: report of an initiative Am J Kidney Dis 50 1 2007 1 4
    • (2007) Am J Kidney Dis , vol.50 , Issue.1 , pp. 1-4
    • Levin, A.1    Warnock, D.G.2    Mehta, R.L.3
  • 20
    • 84855854046 scopus 로고    scopus 로고
    • Chronic kidney disease
    • A.S. Levey, and J. Coresh Chronic kidney disease Lancet 379 9811 2012 165 180
    • (2012) Lancet , vol.379 , Issue.9811 , pp. 165-180
    • Levey, A.S.1    Coresh, J.2
  • 21
    • 4644221457 scopus 로고    scopus 로고
    • Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
    • A.S. Go, G.M. Chertow, D. Fan, C.E. McCulloch, and C.Y. Hsu Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization N Engl J Med 351 13 2004 1296 1305
    • (2004) N Engl J Med , vol.351 , Issue.13 , pp. 1296-1305
    • Go, A.S.1    Chertow, G.M.2    Fan, D.3    McCulloch, C.E.4    Hsu, C.Y.5
  • 22
    • 33748431953 scopus 로고    scopus 로고
    • Mortality after acute renal failure: Models for prognostic stratification and risk adjustment
    • G.M. Chertow, S.H. Soroko, E.P. Paganini, and et al. Mortality after acute renal failure: models for prognostic stratification and risk adjustment Kidney Int 70 6 2006 1120 1126
    • (2006) Kidney Int , vol.70 , Issue.6 , pp. 1120-1126
    • Chertow, G.M.1    Soroko, S.H.2    Paganini, E.P.3
  • 23
  • 24
    • 48649088791 scopus 로고    scopus 로고
    • Gender differences in chronic kidney disease
    • K. Iseki Gender differences in chronic kidney disease Kidney Int 74 4 2008 415 417
    • (2008) Kidney Int , vol.74 , Issue.4 , pp. 415-417
    • Iseki, K.1
  • 25
    • 33745087214 scopus 로고    scopus 로고
    • Progression of kidney dysfunction in the community-dwelling elderly
    • B.R. Hemmelgarn, J. Zhang, B.J. Manns, and et al. Progression of kidney dysfunction in the community-dwelling elderly Kidney Int 69 12 2006 2155 2161
    • (2006) Kidney Int , vol.69 , Issue.12 , pp. 2155-2161
    • Hemmelgarn, B.R.1    Zhang, J.2    Manns, B.J.3
  • 26
    • 84889260719 scopus 로고    scopus 로고
    • APOL1 risk variants, race, and progression of chronic kidney disease
    • A. Parsa, W.H. Kao, D. Xie, and et al. APOL1 risk variants, race, and progression of chronic kidney disease N Engl J Med 369 23 2013 2183 2196
    • (2013) N Engl J Med , vol.369 , Issue.23 , pp. 2183-2196
    • Parsa, A.1    Kao, W.H.2    Xie, D.3
  • 27
    • 84888325641 scopus 로고    scopus 로고
    • Individuals of Pacific Asian origin with IgA nephropathy have an increased risk of progression to end-stage renal disease
    • S.J. Barbour, D.C. Cattran, S.J. Kim, and et al. Individuals of Pacific Asian origin with IgA nephropathy have an increased risk of progression to end-stage renal disease Kidney Int 84 5 2013 1017 1024
    • (2013) Kidney Int , vol.84 , Issue.5 , pp. 1017-1024
    • Barbour, S.J.1    Cattran, D.C.2    Kim, S.J.3
  • 28
    • 67650089602 scopus 로고    scopus 로고
    • Prognosis and prognostic research: Application and impact of prognostic models in clinical practice
    • K.G. Moons, D.G. Altman, Y. Vergouwe, and P. Royston Prognosis and prognostic research: application and impact of prognostic models in clinical practice BMJ 338 2009 b606
    • (2009) BMJ , vol.338 , pp. b606
    • Moons, K.G.1    Altman, D.G.2    Vergouwe, Y.3    Royston, P.4
  • 29
    • 84860159431 scopus 로고    scopus 로고
    • Risk prediction models: II. External validation, model updating, and impact assessment
    • K.G. Moons, A.P. Kengne, D.E. Grobbee, and et al. Risk prediction models: II. External validation, model updating, and impact assessment Heart 98 9 2012 691 698
    • (2012) Heart , vol.98 , Issue.9 , pp. 691-698
    • Moons, K.G.1    Kengne, A.P.2    Grobbee, D.E.3
  • 30
    • 79955009821 scopus 로고    scopus 로고
    • Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality
    • C.A. Peralta, M.G. Shlipak, S. Judd, and et al. Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality JAMA 305 15 2011 1545 1552
    • (2011) JAMA , vol.305 , Issue.15 , pp. 1545-1552
    • Peralta, C.A.1    Shlipak, M.G.2    Judd, S.3
  • 31
    • 80055023975 scopus 로고    scopus 로고
    • Association between cardiac biomarkers and the development of ESRD in patients with type 2 diabetes mellitus, anemia, and CKD
    • A.S. Desai, R. Toto, P. Jarolim, and et al. Association between cardiac biomarkers and the development of ESRD in patients with type 2 diabetes mellitus, anemia, and CKD Am J Kidney Dis 58 5 2011 717 728
    • (2011) Am J Kidney Dis , vol.58 , Issue.5 , pp. 717-728
    • Desai, A.S.1    Toto, R.2    Jarolim, P.3
  • 32
    • 84859642325 scopus 로고    scopus 로고
    • Fibroblast growth factor 23 and adverse clinical outcomes in chronic kidney disease
    • T. Isakova Fibroblast growth factor 23 and adverse clinical outcomes in chronic kidney disease Curr Opin Nephrol Hypertens 21 3 2012 334 340
    • (2012) Curr Opin Nephrol Hypertens , vol.21 , Issue.3 , pp. 334-340
    • Isakova, T.1
  • 33
    • 79953035510 scopus 로고    scopus 로고
    • Evaluating the clinical utility of a biomarker: A review of methods for estimating health impact
    • M.J. Pletcher, and M. Pignone Evaluating the clinical utility of a biomarker: a review of methods for estimating health impact Circulation 123 10 2011 1116 1124
    • (2011) Circulation , vol.123 , Issue.10 , pp. 1116-1124
    • Pletcher, M.J.1    Pignone, M.2
  • 34
    • 0038205688 scopus 로고    scopus 로고
    • The Chronic Renal Insufficiency Cohort (CRIC) Study: Design and methods
    • H.I. Feldman, L.J. Appel, G.M. Chertow, and et al. The Chronic Renal Insufficiency Cohort (CRIC) Study: design and methods J Am Soc Nephrol 14 7 suppl 2 2003 S148 S153
    • (2003) J Am Soc Nephrol , vol.14 , Issue.7 , pp. S148-S153
    • Feldman, H.I.1    Appel, L.J.2    Chertow, G.M.3
  • 35
    • 48349099380 scopus 로고    scopus 로고
    • Chronic Kidney Disease Japan Cohort (CKD-JAC) study: Design and methods
    • E. Imai, S. Matsuo, H. Makino, and et al. Chronic Kidney Disease Japan Cohort (CKD-JAC) study: design and methods Hypertens Res 31 6 2008 1101 1107
    • (2008) Hypertens Res , vol.31 , Issue.6 , pp. 1101-1107
    • Imai, E.1    Matsuo, S.2    Makino, H.3
  • 36
    • 84901677668 scopus 로고    scopus 로고
    • Chinese cohort study of chronic kidney disease: Design and methods
    • B. Gao, L. Zhang, H. Wang, and M. Zhao Chinese cohort study of chronic kidney disease: design and methods Chin Med J (Engl) 127 11 2014 2180 2185
    • (2014) Chin Med J (Engl) , vol.127 , Issue.11 , pp. 2180-2185
    • Gao, B.1    Zhang, L.2    Wang, H.3    Zhao, M.4
  • 37
    • 84859293985 scopus 로고    scopus 로고
    • The German Chronic Kidney Disease (GCKD) study: Design and methods
    • K.U. Eckardt, B. Barthlein, S. Baid-Agrawal, and et al. The German Chronic Kidney Disease (GCKD) study: design and methods Nephrol Dial Transplant 27 4 2012 1454 1460
    • (2012) Nephrol Dial Transplant , vol.27 , Issue.4 , pp. 1454-1460
    • Eckardt, K.U.1    Barthlein, B.2    Baid-Agrawal, S.3
  • 38
    • 84878735853 scopus 로고    scopus 로고
    • Cohort profile: Canadian study of prediction of death, dialysis and interim cardiovascular events (CanPREDDICT)
    • A. Levin, C. Rigatto, B. Brendan, and et al. Cohort profile: Canadian study of prediction of death, dialysis and interim cardiovascular events (CanPREDDICT) BMC Nephrol 14 2013 121
    • (2013) BMC Nephrol , vol.14 , pp. 121
    • Levin, A.1    Rigatto, C.2    Brendan, B.3
  • 40
    • 84896114187 scopus 로고    scopus 로고
    • The Framingham Heart Study and the epidemiology of cardiovascular disease: A historical perspective
    • S.S. Mahmood, D. Levy, R.S. Vasan, and T.J. Wang The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective Lancet 383 9921 2014 999 1008
    • (2014) Lancet , vol.383 , Issue.9921 , pp. 999-1008
    • Mahmood, S.S.1    Levy, D.2    Vasan, R.S.3    Wang, T.J.4
  • 41
    • 0033533455 scopus 로고    scopus 로고
    • Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery
    • T.H. Lee, E.R. Marcantonio, C.M. Mangione, and et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery Circulation 100 10 1999 1043 1049
    • (1999) Circulation , vol.100 , Issue.10 , pp. 1043-1049
    • Lee, T.H.1    Marcantonio, E.R.2    Mangione, C.M.3
  • 42
    • 6444240752 scopus 로고    scopus 로고
    • Selecting patients with atrial fibrillation for anticoagulation: Stroke risk stratification in patients taking aspirin
    • B.F. Gage, C. van Walraven, L. Pearce, and et al. Selecting patients with atrial fibrillation for anticoagulation: stroke risk stratification in patients taking aspirin Circulation 110 16 2004 2287 2292
    • (2004) Circulation , vol.110 , Issue.16 , pp. 2287-2292
    • Gage, B.F.1    Van Walraven, C.2    Pearce, L.3
  • 43
    • 0033866548 scopus 로고    scopus 로고
    • Multifactorial risk index for predicting postoperative respiratory failure in men after major noncardiac surgery. The National Veterans Administration Surgical Quality Improvement Program
    • A.M. Arozullah, J. Daley, W.G. Henderson, and S.F. Khuri Multifactorial risk index for predicting postoperative respiratory failure in men after major noncardiac surgery. The National Veterans Administration Surgical Quality Improvement Program Ann Surg 232 2 2000 242 253
    • (2000) Ann Surg , vol.232 , Issue.2 , pp. 242-253
    • Arozullah, A.M.1    Daley, J.2    Henderson, W.G.3    Khuri, S.F.4
  • 44
    • 4644296839 scopus 로고    scopus 로고
    • A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: Development and initial validation
    • R. Mehran, E.D. Aymong, E. Nikolsky, and et al. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation J Am Coll Cardiol 44 7 2004 1393 1399
    • (2004) J Am Coll Cardiol , vol.44 , Issue.7 , pp. 1393-1399
    • Mehran, R.1    Aymong, E.D.2    Nikolsky, E.3
  • 45
    • 43049175471 scopus 로고    scopus 로고
    • FRAX and the assessment of fracture probability in men and women from the UK
    • J.A. Kanis, O. Johnell, A. Oden, H. Johansson, and E. McCloskey FRAX and the assessment of fracture probability in men and women from the UK Osteoporos Int 19 4 2008 385 397
    • (2008) Osteoporos Int , vol.19 , Issue.4 , pp. 385-397
    • Kanis, J.A.1    Johnell, O.2    Oden, A.3    Johansson, H.4    McCloskey, E.5
  • 46
    • 75749145861 scopus 로고    scopus 로고
    • Predicting six-month mortality for patients who are on maintenance hemodialysis
    • L.M. Cohen, R. Ruthazer, A.H. Moss, and M.J. Germain Predicting six-month mortality for patients who are on maintenance hemodialysis Clin J Am Soc Nephrol 5 1 2010 72 79
    • (2010) Clin J Am Soc Nephrol , vol.5 , Issue.1 , pp. 72-79
    • Cohen, L.M.1    Ruthazer, R.2    Moss, A.H.3    Germain, M.J.4
  • 47
    • 84963990601 scopus 로고    scopus 로고
    • Emory University School of Medicine Atlanta, GA 2014 [October 2, 2015] Accessed December 21, 2015
    • R.E. Paetzer iChoose Kidney Risk Calculator 2014 Emory University School of Medicine Atlanta, GA 2014 [October 2, 2015] http://www.ichoosekidney.emory.edu Accessed December 21, 2015
    • (2014) IChoose Kidney Risk Calculator
    • Paetzer, R.E.1
  • 48
    • 68249094407 scopus 로고    scopus 로고
    • A comprehensive risk quantification score for deceased donor kidneys: The kidney donor risk index
    • P.S. Rao, D.E. Schaubel, M.K. Guidinger, and et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index Transplantation 88 2 2009 231 236
    • (2009) Transplantation , vol.88 , Issue.2 , pp. 231-236
    • Rao, P.S.1    Schaubel, D.E.2    Guidinger, M.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.