Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis
Open accessAbstract
IMPORTANCE: Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed. OBJECTIVE: To evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis. DATA SOURCES: Thirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014. STUDY SELECTION: Cohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease. DATA EXTRACTION AND SYNTHESIS: Data were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed. MAIN OUTCOMES AND MEASURES: Kidney failure (treatment by dialysis or kidney transplant). RESULTS: During a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02). CONCLUSIONS AND RELEVANCE: Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.
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The uACR may be useful in determining the rate of progression of disease and thus support planning for care of end-stage renal disease using the Kidney Failure Risk Equation.
“The uACR may also be useful in determining the rate of progression of disease and thus support planning for care of end-stage renal disease using the Kidney Failure Risk Equation (474).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [474]
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Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603 · see citing works
Self-citationAhmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782 · see citing works
Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
Go, A. S., Chertow, G. M., Fan, D., McCulloch, C. E., & Hsu, C.-Y. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041031 · Cited by 11,369 · see citing works
Sontrop, J. M., Dixon, S. N., Garg, A. X., Jiménez, I. B., Dohein, O., Huang, S. S., & Clark, W. F. (2013) · American Journal of Nephrology · doi:10.1159/000350377 · Cited by 5,903 · see citing works
Self-citationRosa, S. D., Samoni, S., Villa, G., & Ronco, C. (2017) · Blood Purification · doi:10.1159/000452650 · Cited by 5,037 · see citing works
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895 · see citing works
Self-citationThe effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes
Parving, H.-H., Lehnert, H., Bröchner-Mortensen, J., Gomis, R., Andersen, S., & Arner, P. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011489 · Cited by 2,873 · see citing works
[Effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes].
Parving, H., Lehnert, H., Brøchner‐Mortensen, J., Gomis, R., Andersen, S., & Arner, P. (2001) · PubMed · Cited by 2,527 · see citing works
D'Agostino, R. B., Grundy, S., Sullivan, L. M., Wilson, P., & for the CHD Risk Prediction Group (2001) · JAMA · doi:10.1001/jama.286.2.180 · Cited by 2,108 · see citing works
Levey, A. S., Coresh, J., Greene, T., Marsh, J., Stevens, L. A., Kusek, J. W., & Lente, F. V. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2006.077180 · Cited by 1,854 · see citing works
Self-citationFox, C. S., Matsushita, K., Woodward, M., Bilo, H. J., Chalmers, J., Heerspink, H. J. L., Lee, B. J., Perkins, R. M., Rossing, P., Sairenchi, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61350-6 · Cited by 1,401 · see citing works
Self-citationA Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure
Tangri, N. (2011) · JAMA · doi:10.1001/jama.2011.451 · Cited by 1,359 · see citing works
Self-citationCombined angiotensin inhibition for the treatment of diabetic nephropathy
Fried, L. F., Emanuele, N., Zhang, J. H., Brophy, M., Conner, T. A., Duckworth, W., Leehey, D. J., McCullough, P. A., O'Connor, T., Palevsky, P. M., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1303154 · Cited by 1,169 · see citing works
van der Velde, M., Matsushita, K., Coresh, J., Astor, B. C., Woodward, M., Levey, A. S., de Jong, P. E., & Gansevoort, R. T. (2011) · Kidney International · doi:10.1038/ki.2010.536 · Cited by 1,082 · see citing works
Self-citationBardoxolone Methyl in Type 2 Diabetes and Stage 4 Chronic Kidney Disease
de Zeeuw, D., Akizawa, T., Audhya, P., Bakris, G. L., Chin, M. P., Christ‐Schmidt, H., Goldsberry, A., Houser, M. T., Krauth, M., Heerspink, H. J. L., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1306033 · Cited by 1,041 · see citing works
Self-citationIsakova, T. (2011) · JAMA · doi:10.1001/jama.2011.826 · Cited by 1,023 · see citing works
Coresh, J., Turin, T. C., Matsushita, K., Sang, Y., Ballew, S. H., Appel, L. J., Arima, H., Chadban, S. J., Cirillo, M., Djurdjev, O., et al. (2014) · JAMA · doi:10.1001/jama.2014.6634 · Cited by 988 · see citing works
Self-citationCystatin C versus Creatinine in Determining Risk Based on Kidney Function
Shlipak, M. G., Matsushita, K., Ärnlöv, J., Inker, L. A., Katz, R., Polkinghorne, K. R., Rothenbacher, D., Sarnak, M. J., Astor, B. C., Coresh, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1214234 · Cited by 988 · see citing works
Self-citationMatsushita, K., Mahmoodi, B. K., Woodward, M., Emberson, J., Jafar, T. H., Jee, S. H., Polkinghorne, K. R., Shankar, A., Smith, D. H., Tonelli, M. A., et al. (2012) · JAMA · doi:10.1001/jama.2012.3954 · Cited by 987 · see citing works
Self-citationMatsushita, K., Coresh, J., Sang, Y., Chalmers, J. P., Fox, C. S., Güallar, E., Jafar, T. H., Jassal, S. K., Landman, G. W. D., Muntner, P., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00040-6 · Cited by 914 · see citing works
Self-citationGansevoort, R. T., Matsushita, K., van der Velde, M., Astor, B. C., Woodward, M., Levey, A. S., de Jong, P. E., & Coresh, J. (2011) · Kidney International · doi:10.1038/ki.2010.531 · Cited by 883 · see citing works
Self-citationAstor, B. C., Matsushita, K., Gansevoort, R. T., van der Velde, M., Woodward, M., Levey, A. S., de Jong, P. E., & Coresh, J. (2011) · Kidney International · doi:10.1038/ki.2010.550 · Cited by 775 · see citing works
Self-citationAge and Association of Kidney Measures With Mortality and End-stage Renal Disease
Hallan, S. I., Matsushita, K., Sang, Y., Mahmoodi, B. K., Black, C., Ishani, A., Kleefstra, N., Naimark, D. M. J., Roderick, P. J., Tonelli, M. A., et al. (2012) · JAMA · doi:10.1001/jama.2012.16817 · Cited by 637 · see citing works
Self-citationNitsch, D., Grams, M. E., Sang, Y., Black, C., Círillo, M., Djurdjev, O., Iseki, K., Jassal, S. K., Kimm, H., Kronenberg, F., et al. (2013) · BMJ · doi:10.1136/bmj.f324 · Cited by 479 · see citing works
Self-citationKidney-Failure Risk Projection for the Living Kidney-Donor Candidate
Grams, M. E., Sang, Y., Levey, A. S., Matsushita, K., Ballew, S. H., Chang, A. R., Chow, E. K. H., Kasiske, B. L., Kovesdy, C. P., Nadkarni, G. N., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510491 · Cited by 459 · see citing works
Self-citationMahmoodi, B. K., Matsushita, K., Woodward, M., Blankestijn, P. J., Círillo, M., Ohkubo, T., Rossing, P. R., Sarnak, M. J., Stengel, B., Yamagishi, K., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61272-0 · Cited by 454 · see citing works
Self-citation(2017) · Kidney International Supplements · doi:10.1016/j.kisu.2017.10.001 · Cited by 372 · see citing works
James, M. T., Grams, M. E., Woodward, M., Elley, C. R., Green, J. A., Wheeler, D. C., de Jong, P., Gansevoort, R. T., Levey, A. S., Warnock, D. G., et al. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.02.338 · Cited by 309 · see citing works
Self-citationTrajectories of Kidney Function Decline in the 2 Years Before Initiation of Long-term Dialysis
O’Hare, A. M., Batten, A. J., Burrows, N. R., Pavkov, M. E., Taylor, L., Gupta, I. R., Todd-Stenberg, J., Maynard, C. C., Rodriguez, R. A., Murtagh, F. E., et al. (2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2011.11.044 · Cited by 230 · see citing works
Risk Prediction Models for Patients With Chronic Kidney Disease
Tangri, N., Kitsios, G. D., Inker, L. A., Griffith, J. L., Naimark, D. M. J., Walker, S., Rigatto, C., Uhlig, K., Kent, D. M., & Levey, A. S. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-8-201304160-00004 · Cited by 226 · see citing works
Self-citationGrams, M. E., Sang, Y., Ballew, S. H., Gansevoort, R. T., Kimm, H., Kovesdy, C. P., Naimark, D. M. J., Øien, C. M., Smith, D. H., Coresh, J., et al. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.02.337 · Cited by 224 · see citing works
Self-citationThe Rehabilitation Role in Chronic Kidney and End Stage Renal Disease
Intiso, D. (2014) · Kidney & Blood Pressure Research · doi:10.1159/000355795 · Cited by 187 · see citing works
Rates of Treated and Untreated Kidney Failure in Older vs Younger Adults
Hemmelgarn, B. R., James, M. T., Manns, B., O’Hare, A. M., Muntner, P., Ravani, P., Quinn, R. R., Turin, T. C., Tan, Z., Tonelli, M. A., et al. (2012) · JAMA · doi:10.1001/jama.2012.6455 · Cited by 152 · see citing works
Cardiovascular and Renal Outcomes With Telmisartan, Ramipril, or Both in People at High Renal Risk
Tobe, S. W., Clase, C. M., Gao, P., McQueen, M., Grosshennig, A., Wang, X., Teo, K. K., Yusuf, S., & Mann, J. F. E. (2011) · Circulation · doi:10.1161/circulationaha.110.964171 · Cited by 138 · see citing works
O’Hare, A. M., Bertenthal, D., Walter, L. C., Garg, A. X., Covinsky, K. E., Kaufman, J. S., Rodriguez, R. A., & Allon, M. (2007) · Kidney International · doi:10.1038/sj.ki.5002078 · Cited by 134 · see citing works
Self-citationValidation of the kidney failure risk equation in European CKD patients
Peeters, M. J., van Zuilen, A. D., van den Brand, J. A. J. G., Bots, M. L., Blankestijn, P. J., Wetzels, J. F. M., for the MASTERPLAN Study Group, Blankestijn, P. J., Bots, M. L., van Buren, M., et al. (2013) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gft063 · Cited by 98 · see citing works
Turin, T. C., Tonelli, M. A., Manns, B., Ahmed, S. B., Ravani, P., James, M. T., & Hemmelgarn, B. R. (2012) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012020164 · Cited by 92 · see citing works
Wen, C. P., Matsushita, K., Coresh, J., Iseki, K., Islam, M., Katz, R., McClellan, W., Peralta, C. A., Wang, H., de Zeeuw, D., et al. (2014) · Kidney International · doi:10.1038/ki.2013.553 · Cited by 90 · see citing works
Self-citationDerivation and Validation of a Renal Risk Score for People With Type 2 Diabetes
Elley, C. R., Robinson, T., Moyes, S. A., Kenealy, T. W., Collins, J. F., Robinson, E., Orr‐Walker, B., & Drury, P. (2013) · Diabetes Care · doi:10.2337/dc13-0190 · Cited by 89 · see citing works
Self-citationDrawz, P. E., Goswami, P., Azem, R., Babineau, D. C., & Rahman, M. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12223 · Cited by 59 · see citing works
Grams, M. E., Li, L., Greene, T., Tin, A., Sang, Y., Kao, W. H. L., Lipkowitz, M. S., Wright, J. T., Chang, A. R., Astor, B. C., et al. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.07.026 · Cited by 57 · see citing works
Self-citationIcahn School of Medicine at Mount Sinai
Fallar, R., Parkas, V., & Karani, R. (2020) · Academic Medicine · doi:10.1097/acm.0000000000003415 · Cited by 56 · see citing works
Marks, A., Fluck, N., Prescott, G. J., Robertson, L. M., Simpson, W. G., Smith, W. C., & Black, C. (2015) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfv089 · Cited by 44 · see citing works
Self-citationChapter 5: Referral to specialists and models of care
(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.68 · Cited by 41 · see citing works
Supplementing Creatinine-Based Estimates of Risk in Chronic Kidney Disease
Tonelli, M. A. (2011) · JAMA · doi:10.1001/jama.2011.502 · Cited by 13 · see citing works
The kidney failure risk equation: on the road to being clinically useful?
Acedillo, R. R., Tangri, N., & Garg, A. X. (2013) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gft044 · Cited by 6 · see citing works
Self-citationTrajectories of Kidney Function Decline in the 2Years Before Initiation of Long-term Dialysis
Garrick, R. (2012) · Yearbook of Medicine · doi:10.1016/j.ymed.2012.08.050 · Cited by 4 · see citing works
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2
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Self-citationWebster, A. C., Nagler, E. V., Morton, R. L., & Masson, P. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32064-5 · Cited by 3,842 · see citing works
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Rovin, B. H., Adler, S. G., Barratt, J., Bridoux, F., Burdge, K. A., Chan, T. M., Cook, H. T., Fervenza, F. C., Gibson, K. L., Glassock, R. J., et al. (2021) · Kidney International · doi:10.1016/j.kint.2021.05.021 · Cited by 2,661 · see citing works
KDOQI Clinical Practice Guideline for Vascular Access: 2019 Update
Lok, C. E., Huber, T. S., Lee, T., Shenoy, S., Yevzlin, A. S., Abreo, K., Allon, M., Asif, A., Astor, B. C., Glickman, M. H., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.12.001 · Cited by 2,590 · see citing works
Self-citationChronic Kidney Disease Diagnosis and Management: A Review
Chen, T. K., Knicely, D. H., & Grams, M. E. (2019) · JAMA · doi:10.1001/jama.2019.14745 · Cited by 1,811 · see citing works
Self-citationRomagnani, P., Remuzzi, G., Glassock, R. J., Levin, A., Jager, K. J., Tonelli, M. A., Massy, Z. A., Wanner, C., & Anders, H. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.88 · Cited by 1,075 · see citing works
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Ramspek, C. L., Jager, K. J., Dekker, F. W., Zoccali, C., & van Diepen, M. (2021) · Clinical Kidney Journal · doi:10.1093/ckj/sfaa188 · Cited by 887 · see citing works
Khan, S. S., Coresh, J., Pencina, M. J., Ndumele, C. E., Rangaswami, J., Chow, S. L., Palaniappan, L. P., Sperling, L. S., Virani, S. S., Ho, J. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001191 · Cited by 797 · see citing works
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Shlipak, M. G., Tummalapalli, S. L., Boulware, L. E., Grams, M. E., Ix, J. H., Jha, V., Kengne, A.-P., Madero, M., Mihaylova, B., Tangri, N., et al. (2021) · Kidney International · doi:10.1016/j.kint.2020.10.012 · Cited by 581 · see citing works
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Self-citationSumida, K., Nadkarni, G. N., Grams, M. E., Sang, Y., Ballew, S. H., Coresh, J., Matsushita, K., Surapaneni, A., Brunskill, N. J., Chadban, S. J., et al. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0529 · Cited by 359 · see citing works
Self-citationSacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351 · see citing works
Kovesdy, C. P., Matsushita, K., Sang, Y., Brunskill, N. J., Carrero, J. J., Chodick, G., Hasegawa, T., Heerspink, H. J. L., Hirayama, A., Landman, G. W. D., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy100 · Cited by 350 · see citing works
Self-citationCoresh, J., Heerspink, H. J. L., Sang, Y., Matsushita, K., Arnlov, J., Astor, B. C., Black, C., Brunskill, N. J., Carrero, J.-J., Feldman, H. I., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30313-9 · Cited by 338 · see citing works
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Self-citationDevelopment of Risk Prediction Equations for Incident Chronic Kidney Disease.
Nelson, R., Grams, M., Ballew, S., Sang, Y., Azizi, F., Chadban, S., Chaker, L., Dunning, S., Fox, C., Hirakawa, Y., et al. (2019) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2019.17379 · Cited by 229 · see citing works
Self-citationSrivastava, A., Pálsson, R., Kazé, A. D., Chen, M. E., Palacios, P., Sabbisetti, V. S., Betensky, R. A., Steinman, T. I., Thadhani, R., McMahon, G. M., et al. (2018) · Journal of the American Society of Nephrology · doi:10.1681/asn.2017121260 · Cited by 210 · see citing works
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(2020) · EMJ Innovations · doi:10.33590/emjinnov/19-00172 · Cited by 172 · see citing works
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Neugarten, J., & Golestaneh, L. (2019) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2018.12.024 · Cited by 164 · see citing works
Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 157 · see citing works
Selby, N. M., Blankestijn, P. J., Boor, P., Combe, C., Eckardt, K., Eikefjord, E., Garcı́a-Fernández, N., Golay, X., Gordon, I., Grenier, N., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy152 · Cited by 152 · see citing works
Prevalence and recognition of chronic kidney disease in Stockholm healthcare
Gasparini, A., Evans, M., Coresh, J., Grams, M. E., Norin, O., Qureshi, A. R., Runesson, B., Barany, P. F., Ärnlöv, J., Jernberg, T., et al. (2016) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfw354 · Cited by 146 · see citing works
Self-citationUses of GFR and Albuminuria Level in Acute and Chronic Kidney Disease
Levey, A. S., Grams, M. E., & Inker, L. A. (2022) · New England Journal of Medicine · doi:10.1056/nejmra2201153 · Cited by 145 · see citing works
Self-citationFarrington, K., Covic, A. C., Nistor, I., Aucella, F., Clyne, N., Vos, L. D., Findlay, A., Fouque, D. P., Grodzicki, T. K., Iyasere, O. U., et al. (2017) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfw411 · Cited by 143 · see citing works
Farrington, K., Covic, A. C., Aucella, F., Clyne, N., de Vos, L., Findlay, A., Fouque, D. P., Grodzicki, T. K., Iyasere, O. U., Jager, K. J., et al. (2016) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfw356 · Cited by 139 · see citing works
Major, R., Shepherd, D. J., Medcalf, J. F., Xu, G., Gray, L. J., & Brunskill, N. J. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002955 · Cited by 135 · see citing works
CKD Awareness Among US Adults by Future Risk of Kidney Failure
Chu, C. D., McCulloch, C. E., Banerjee, T., Pavkov, M. E., Burrows, N. R., Gillespie, B. W., Saran, R., Shlipak, M. G., Powe, N. R., Tuot, D. S., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2020.01.007 · Cited by 133 · see citing works
Snell, K. I. E., Ensor, J., Debray, T. P. A., Moons, K. G. M., & Riley, R. D. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217705678 · Cited by 130 · see citing works
Dickkopf-3 (DKK3) in Urine Identifies Patients with Short-Term Risk of eGFR Loss
Zewinger, S., Rauen, T., Rudnicki, M., Federico, G., Wagner, M., Triem, S., Schunk, S. J., Petrakis, I., Schmit, D., Wagenpfeil, S., et al. (2018) · Journal of the American Society of Nephrology · doi:10.1681/asn.2018040405 · Cited by 125 · see citing works
Herrington, W. G., Judge, P. K., Grams, M. E., & Wanner, C. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01942-7 · Cited by 122 · see citing works
Self-citationEckardt, K., Bansal, N., Coresh, J., Evans, M., Grams, M. E., Herzog, C. A., James, M. T., Heerspink, H. J. L., Pollock, C. A., Stevens, P. E., et al. (2018) · Kidney International · doi:10.1016/j.kint.2018.02.006 · Cited by 115 · see citing works
Self-citationStudy, F. T. K. P. N. C. C. O., Go, A. S., Yang, J., Tan, T. C., Cabrera, C. S., Stefánsson, B. V., Greasley, P. J., & Ordoñez, J. D. (2018) · BMC Nephrology · doi:10.1186/s12882-018-0942-1 · Cited by 113 · see citing works
A Dynamic Predictive Model for Progression of CKD
Tangri, N., Inker, L. A., Hiebert, B. M., Wong, J., Naimark, D. M. J., Kent, D. M., & Levey, A. S. (2016) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2016.07.030 · Cited by 112 · see citing works
Self-citationVlasschaert, C., McNaughton, A. J. M., Chong, M., Cook, E. K., Hopman, W. M., Kestenbaum, B. R., Robinson‐Cohen, C., Garland, J. S., Moran, S. M., Paré, G., et al. (2022) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021060774 · Cited by 112 · see citing works
Weaver, R. G., James, M. T., Ravani, P., Weaver, C., Lamb, E. J., Tonelli, M. A., Manns, B., Quinn, R. R., Jun, M., & Hemmelgarn, B. R. (2020) · Journal of the American Society of Nephrology · doi:10.1681/asn.2019060605 · Cited by 108 · see citing works
Hsu, C., Xie, D., Waikar, S. S., Bonventre, J. V., Zhang, X., Sabbisetti, V. S., Mifflin, T. E., Coresh, J., Diamantidis, C. J., He, J., et al. (2016) · Kidney International · doi:10.1016/j.kint.2016.09.003 · Cited by 107 · see citing works
Self-citationNavaneethan, S. D., Bansal, N., Cavanaugh, K. L., Chang, A. R., Crowley, S. T., Delgado, C., Estrella, M. M., Ghossein, C., Ikizler, T. A., Koncicki, H. M., et al. (2024) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2024.08.003 · Cited by 108 · see citing works
Self-citationTowards the best kidney failure prediction tool: a systematic review and selection aid
Ramspek, C. L., de Jong, Y., Dekker, F. W., & van Diepen, M. (2019) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfz018 · Cited by 106 · see citing works
Perico, N., Remuzzi, G., Griffin, M. D., Cockwell, P., Maxwell, A. P., Casiraghi, F., Rubis, N., Peracchi, T., Villa, A., Todeschini, M., et al. (2023) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000189 · Cited by 105 · see citing works
Provenzano, M., Andreucci, M., Garofalo, C., Faga, T., Michael, A., Ielapi, N., Grande, R., Sapienza, P., de Franciscis, S., Mastroroberto, P., et al. (2020) · Biomolecules · doi:10.3390/biom10010154 · Cited by 96 · see citing works
Tene, L., Bergroth, T., Eisenberg, A. L., David, S. S. B., & Chodick, G. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.12.002 · Cited by 93 · see citing works
Self-citationRisks of Adverse Events in Advanced CKD: The Chronic Renal Insufficiency Cohort (CRIC) Study
Grams, M. E., Yang, W. P., Rebholz, C. M., Wang, X., Porter, A. C., Inker, L. A., Horwitz, E. J., Sondheimer, J., Hamm, L. L., He, J., et al. (2017) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2017.01.050 · Cited by 91 · see citing works
Self-citationRamspek, C. L., Evans, M., Wanner, C., Drechsler, C., Chesnaye, N. C., Szymczak, M., Krajewska, M., Torino, C., Porto, G., Hayward, S., et al. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2020071077 · Cited by 91 · see citing works
Self-citationStengel, B., Metzger, M., Combe, C., Jacquelinet, C., Briançon, S., Ayav, C., Fouque, D. P., Laville, M., Frimat, L., Pascal, C., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy058 · Cited by 89 · see citing works
Self-citationMachine learning algorithm for early detection of end-stage renal disease
Segal, Z. I., Kalifa, D., Radinsky, K., Ehrenberg, B., Elad, G., Maor, G., Lewis, M., Tibi, M., Korn, L., & Koren, G. (2020) · BMC Nephrology · doi:10.1186/s12882-020-02093-0 · Cited by 87 · see citing works
Eckardt, K., Delgado, C., Heerspink, H. J. L., Pecoits‐Filho, R., Ricardo, A. C., Stengel, B., Tonelli, M. A., Cheung, M., Jadoul, M. Y., Winkelmayer, W. C., et al. (2023) · Kidney International · doi:10.1016/j.kint.2023.05.013 · Cited by 87 · see citing works
Self-citationAdvances in the management of chronic kidney disease
Chen, T. K., Hoenig, M. P., Nitsch, D., & Grams, M. E. (2023) · BMJ · doi:10.1136/bmj-2022-074216 · Cited by 88 · see citing works
Self-citationGluck, C. A., Qiu, C., Han, S. Y., Palmer, M., Park, J., Ko, Y.-A., Guan, Y., Sheng, X., Hanson, R. L., Huang, J. Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10378-8 · Cited by 84 · see citing works
A Pilot Randomized Trial of Ferric Citrate Coordination Complex for the Treatment of Advanced CKD
Block, G. A., Block, M. S., Smits, G., Mehta, R. C., Isakova, T., Wolf, M. S., & Chertow, G. M. (2019) · Journal of the American Society of Nephrology · doi:10.1681/asn.2018101016 · Cited by 84 · see citing works
Development and External Validation of a Machine Learning Model for Progression of CKD
Ferguson, T. W., Ravani, P., Sood, M. M., Clarke, A., Komenda, P. V. J., Rigatto, C., & Tangri, N. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.05.004 · Cited by 83 · see citing works
Self-citationClinical Decision Support Tools in the Electronic Medical Record
Alexiuk, M. R., Elgubtan, H., & Tangri, N. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.10.019 · Cited by 83 · see citing works
Self-citationA Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction
Antony, L., Azam, S., Ignatious, E., Quadir, R., Beeravolu, A. R., Jonkman, M., & Boer, F. D. (2021) · IEEE Access · doi:10.1109/access.2021.3109168 · Cited by 82 · see citing works
A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests
Zacharias, H. U., Altenbuchinger, M., Schultheiß, U. T., Raffler, J., Kotsis, F., Ghasemi, S., Ali, I., Kollerits, B., Metzger, M., Steinbrenner, I., et al. (2021) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2021.05.018 · Cited by 81 · see citing works
Self-citationAging and Renal Disease: Old Questions for New Challenges
Chou, Y., & Chen, Y. (2021) · Aging and Disease · doi:10.14336/ad.2020.0703 · Cited by 80 · see citing works
Grams, M. E., Brunskill, N. J., Ballew, S. H., Sang, Y., Coresh, J., Matsushita, K., Surapaneni, A., Bell, S., Carrero, J. J., Chodick, G., et al. (2023) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000050 · Cited by 80 · see citing works
Self-citationPredicting 5-Year Risk of RRT in Stage 3 or 4 CKD: Development and External Validation
Schroeder, E. B., Yang, X., Thorp, M. L., Arnold, B. M., Tabano, D. C., Petrik, A. F., Smith, D. H., Platt, R. W., & Johnson, E. S. (2016) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.01290216 · Cited by 75 · see citing works
Acetaminophen-induced Acute Liver Failure Is More Common and More Severe in Women
Rubin, J. B., Hameed, B., Gottfried, M., Lee, W. M., & Sarkar, M. A. (2017) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2017.11.042 · Cited by 75 · see citing works
Hewitson, T. D., Holt, S. G., & Smith, E. R. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00520 · Cited by 72 · see citing works
Alaini, A., Malhotra, D. K., Rondon‐Berrios, H., Argyropoulos, C., Khitan, Z. J., Raj, D. S., Rohrscheib, M. R., Shapiro, J. I., & Tzamaloukas, A. H. (2017) · World Journal of Methodology · doi:10.5662/wjm.v7.i3.73 · Cited by 71 · see citing works
Lin, E., Chertow, G. M., Yan, B. W., Malcolm, E. J., & Goldhaber‐Fiebert, J. D. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002532 · Cited by 71 · see citing works
Grams, M. E., Brunskill, N. J., Ballew, S. H., Sang, Y., Coresh, J., Matsushita, K., Surapaneni, A., Bell, S., Carrero, J. J., Chodick, G., et al. (2022) · Diabetes Care · doi:10.2337/dc22-0698 · Cited by 70 · see citing works
Self-citationMadero, M., Levin, A., Ahmed, S. B., Carrero, J. J., Foster, B. J., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., et al. (2025) · Annals of Internal Medicine · doi:10.7326/annals-24-01926 · Cited by 70 · see citing works
Self-citationDickkopf 3—a novel biomarker of the ‘kidney injury continuum’
Schunk, S. J., Speer, T., Petrakis, I., & Fliser, D. (2020) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfaa003 · Cited by 68 · see citing works
Raynaud, M., Aubert, O., Reese, P. P., Bouatou, Y., Naesens, M., Kamar, N., Bailly, É., Giral, M., Ladrière, M., Quintrec, M. L., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.07.025 · Cited by 68 · see citing works
Self-citationProteomics of CKD progression in the chronic renal insufficiency cohort
Dubin, R. F., Deo, R., Ren, Y., Wang, J., Zheng, Z., Shou, H., Go, A. S., Parsa, A., Lash, J. P., Rahman, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41642-7 · Cited by 68 · see citing works
Self-citationKidney Histopathology and Prediction of Kidney Failure: A Retrospective Cohort Study
Eadon, M. T., Schwantes-An, T.-H. L., Phillips, C. L., Roberts, A., Greene, C. V., Hallab, A., Hart, K., Lipp, S. N., Perez-Ledezma, C., Omar, K. O., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.12.014 · Cited by 67 · see citing works
Oxidative stress links periodontal inflammation and renal function
Sharma, P., Fenton, A., Dias, I. H. K., Heaton, B., Brown, C. L. R., Sidhu, A., Rahman, M., Griffiths, H. R., Cockwell, P., Ferro, C. J., et al. (2020) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.13414 · Cited by 67 · see citing works
Zhu, Y., Bi, D., Saunders, M. R., & Ji, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-49271-2 · Cited by 67 · see citing works
Management of Heart Failure in Advancing CKD: Core Curriculum 2018
House, A. A. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2017.12.006 · Cited by 67 · see citing works
Liu, P., Sawhney, S., Heide‐Jørgensen, U., Quinn, R. R., Jensen, S. K., Mclean, A., Christiansen, C. F., Gerds, T. A., & Ravani, P. (2024) · BMJ · doi:10.1136/bmj-2023-078063 · Cited by 66 · see citing works
Developing Treatments for Chronic Kidney Disease in the 21st Century
Breyer, M. D., & Suszták, K. (2016) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2016.08.001 · Cited by 66 · see citing works
Major, R., Shepherd, D. J., Medcalf, J. F., Xu, G., Gray, L. J., & Brunskill, N. J. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003313 · Cited by 66 · see citing works
Ravani, P., Quinn, R., Fiocco, M. F., Liu, P., Al‐Wahsh, H., Lam, N. N., Hemmelgarn, B. R., Manns, B., James, M. T., Joanette, Y., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.17150 · Cited by 64 · see citing works
Sarnak, M. J., Auguste, B. L., Brown, E. A., Chang, A. R., Chertow, G. M., Hannan, M. F., Herzog, C. A., Nadeau‐Fredette, A., Tang, W. H. W., Wang, A. Y.-M., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001088 · Cited by 63 · see citing works
Self-citationAssessment of Cystatin C Level for Risk Stratification in Adults With Chronic Kidney Disease
Lees, J. S., Rutherford, E., Stevens, K. I., Chen, D. C., Scherzer, R., Estrella, M. M., Sullivan, M. K., Ebert, N., Mark, P. B., & Shlipak, M. G. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.38300 · Cited by 63 · see citing works
Iatridi, F., Carrero, J. J., Gall, É. C.-L., Kanbay, M., Luyckx, V. A., Shroff, R. C., & Ferro, C. J. (2024) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfae209 · Cited by 62 · see citing works
Screening for Kidney Disease in Low- and Middle-Income Countries
Kalyesubula, R., Conroy, A. L., Cálice-Silva, V., Kumar, V., Onu, U. C., Batte, A., Kaze, F. F., Fabian, J., & Ulasi, I. (2022) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2023.151315 · Cited by 60 · see citing works
Chronic Kidney Disease in Primary Care: Outcomes after Five Years in a Prospective Cohort Study
Shardlow, A., McIntyre, N. J., Fluck, R., McIntyre, C. W., & Taal, M. W. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002128 · Cited by 60 · see citing works
Influence of Mortality on Estimating the Risk of Kidney Failure in People with Stage 4 CKD
Ravani, P., Fiocco, M. F., Liu, P., Quinn, R. R., Hemmelgarn, B. R., James, M. T., Lam, N. N., Manns, B., Oliver, M. J., Strippoli, G. F., et al. (2019) · Journal of the American Society of Nephrology · doi:10.1681/asn.2019060640 · Cited by 60 · see citing works
Mulvagh, S. L., Mullen, K., Nerenberg, K. A., Kirkham, A. A., Green, C. R., Dhukai, A. R., Grewal, J., Hardy, M., Harvey, P., Ahmed, S. B., et al. (2021) · CJC Open · doi:10.1016/j.cjco.2021.09.013 · Cited by 58 · see citing works
Hirohama, D., Abedini, A., Moon, S., Surapaneni, A., Dillon, S. T., Vassalotti, A., Liu, H., Doke, T., Martinez, V., Dom, Z. I. M., et al. (2023) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000141 · Cited by 57 · see citing works
Self-citationProvenzano, M., Chiodini, P., Minutolo, R., Zoccali, C., Bellizzi, V., Conte, G., Locatelli, F., Tripepi, G. L., Vecchio, L. D., Mallamaci, F., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy217 · Cited by 55 · see citing works
Self-citationWinnicki, E., McCulloch, C. E., Mitsnefes, M. M., Furth, S. L., Warady, B. A., & Ku, E. (2017) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2017.4083 · Cited by 55 · see citing works
Artificial intelligence enabled applications in kidney disease
Chaudhuri, S., Long, A., Zhang, H., Monaghan, C. K., Larkin, J. W., Kotanko, P., Kalaskar, S., Kooman, J. P., SANDE, F. M. V. D., Maddux, F. W., et al. (2020) · Seminars in Dialysis · doi:10.1111/sdi.12915 · Cited by 55 · see citing works
Integrating CKD Into US Primary Care: Bridging the Knowledge and Implementation Gaps
Vassalotti, J. A., & Boucree, S. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.01.1066 · Cited by 54 · see citing works
Serum Cystatin C for Estimation of GFR
Shlipak, M. G., Inker, L. A., & Coresh, J. (2022) · JAMA · doi:10.1001/jama.2022.12407 · Cited by 53 · see citing works
Self-citationEffect of 2 Clinical Decision Support Strategies on Chronic Kidney Disease Outcomes in Primary Care
Carroll, J. K., Pulver, G., Dickinson, L. M., Pace, W. D., Vassalotti, J. A., Kimminau, K. S., Manning, B. K., Staton, E. W., & Fox, C. H. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.3377 · Cited by 53 · see citing works
Zhuo, M., Li, J., Buckley, L. F., Tummalapalli, S. L., Mount, D. B., Steele, D., Lucier, D. J., & Mendu, M. L. (2022) · Kidney360 · doi:10.34067/kid.0007862021 · Cited by 52 · see citing works
Predicting chronic kidney disease progression with artificial intelligence
Isaza-Ruget, M. A., Yomayusa, N., González, C. A., Catherine Alvarado, H., V., F. A. D. O., Jiménez, A. C., Murcia, J., González-Vélez, A. E., Robayo, A., Mejía, C. C. C., et al. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03545-7 · Cited by 52 · see citing works
Risk Factors for Prognosis in Patients With Severely Decreased GFR
Evans, M., Grams, M. E., Sang, Y., Astor, B. C., Blankestijn, P. J., Brunskill, N. J., Collins, J. F., Kalra, P. A., Kovesdy, C. P., Levin, A., et al. (2018) · Kidney International Reports · doi:10.1016/j.ekir.2018.01.002 · Cited by 52 · see citing works
Self-citationSmekal, M. D., Tam‐Tham, H., Finlay, J. L., Donald, M., Thomas, C. M., Weaver, R. G., Quinn, R. R., Tam, K., Manns, B., Tonelli, M. A., et al. (2019) · BMC Nephrology · doi:10.1186/s12882-019-1269-2 · Cited by 52 · see citing works
Self-citation
- Authors
- Tangri, N., Grams, M. E., Levey, A. S., Coresh, J., Appel, L. J., Astor, B. C., Chodick, G., Collins, A. J., Djurdjev, O., Elley, C. R., Evans, M., Garg, A. X., Hallan, S. I., Inker, L. A., Ito, S., Jee, S. H., Kovesdy, C. P., Kronenberg, F., Heerspink, H. J. L., Marks, A., Nadkarni, G. N., Navaneethan, S. D., Nelson, R. G., Titze, S., Sarnak, M. J., Stengel, B., Woodward, M., Iseki, K., & for the CKD Prognosis Consortium
- Affiliations
- Seven Oaks General Hospital (CA)
- Johns Hopkins University (US)
- Tufts Medical Center (US)
- University of Wisconsin–Madison (US)
- Tel Aviv University (IL)
- University of Minnesota (US)
- Provincial Health Services Authority (CA)
- University of Auckland (NZ)
- Karolinska Institutet (SE)
- Western University (CA)
- Norwegian University of Science and Technology (NO)
- Tohoku University (JP)
- Yonsei University (KR)
- University of Tennessee Health Science Center (US)
- Innsbruck Medical University (AT)
- University Medical Center Groningen (NL)
- University of Aberdeen (GB)
- Icahn School of Medicine at Mount Sinai (US)
- Cleveland Clinic (US)
- National Institute of Diabetes and Digestive and Kidney Diseases (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- CESP, INSERM, Villejuif, France29Université Paris-Saclay, Université Paris-Sud, UVSQ, Villejuif, France
- The University of Sydney (AU)
- University of the Ryukyus University Hospital (JP)
- Corresponding author
- Coresh, Josef
- ORCID
- Tangri, Navdeep
- Grams, Morgan E.
- Levey, Andrew S.
- Coresh, Josef
- Appel, Lawrence J.
- Astor, Brad C.
- Chodick, Gabriel
- Elley, C. Raina
- Evans, Marie
- Garg, Amit X.
- Hallan, Stein I.
- Inker, Lesley A.
- Ito, Sadayoshi
- Jee, Sun Ha
- Kovesdy, Csaba P.
- Kronenberg, Florian
- Heerspink, Hiddo J. L.
- Marks, Angharad
- Nadkarni, Girish N.
- Navaneethan, Sankar D.
- Nelson, Robert G.
- Titze, Stephanie
- Sarnak, Mark J.
- Woodward, Mark
- Iseki, Kunitoshi
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2016-01-12
- Volume
- 315
- Issue
- 2
- Pages
- 164
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC4752167
- OpenAlex
- W2234357320
- Cited by
- 737
- References
- 50
- Citations by year
- 2026: 90 · 2025: 87 · 2024: 90 · 2023: 80 · 2022: 91 · 2021: 83 · 2020: 62 · 2019: 49 · 2018: 42 · 2017: 32 · 2016: 29 · 2015: 1 · 2012: 1
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Amgen
- Kaiser Permanente
- Cleveland Clinic
- Institute for Clinical Evaluative Sciences
- University of Oxford
- University of Aberdeen
- Institut National de la Santé et de la Recherche Médicale
- Rijksuniversiteit Groningen
- Universitair Medisch Centrum Groningen
- Université Paris-Saclay
- Université Paris-Sud
- Medizinische Universität Innsbruck
- Universität Innsbruck
- Université de Versailles Saint-Quentin-en-Yvelines
- George Institute for Global Health
- National Institutes of Health (UL1TR001079, UL1TR000424, UL1TR000003)
- Health Science Center, University of Tennessee
- National Heart, Lung, and Blood Institute (HHSN268201 100012C, HHSN268201100007C, HHSN2682 01100008C, HH-SN-268201100006C, HHSN268201100011C, HHSN268201100005C, HHSN268201100010C, HHSN26820 1100009C)
- National Cancer Institute (R01CA165001)
- National Institute of Diabetes and Digestive and Kidney Diseases (K23DK067303, U01DK060990, K23DK002904, K08DK092287, U01DK035073, R01DK139225, U01DK060984, U01DK060902, R01DK100446, U01DK060980, U01DK061022, U01DK060963, U01DK061028)
- National Institute of Neurological Disorders and Stroke (U01NS041588)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Keywords
- chronic kidney disease progression, kidney failure risk prediction, risk prediction equations, end-stage renal disease, dialysis, kidney transplantation, regional calibration, individual patient data meta-analysis, estimated glomerular filtration rate, calcium and phosphate, discrimination and calibration, diabetes mellitus, race, age, nephrology care
- MeSH terms
- Humans, Prognosis, Cohort Studies, Proportional Hazards Models, Disease Progression, Risk Assessment, Renal Insufficiency, Chronic, Renal Insufficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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