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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 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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Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
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
Self-citationAhmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782
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
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
Self-citationRosa, S. D., Samoni, S., Villa, G., & Ronco, C. (2017) · Blood Purification · doi:10.1159/000452650 · Cited by 5,040
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
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
[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
Research works printed but not linked: 1
- [37]Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease Kidney International Supplements 2013 3 1 1 150 30681074 PMC6341011
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Zhang, T. (2019) · Springer eBooks · doi:10.1007/978-981-32-9131-7_6 · Cited by 2
Epidemiology and Management of Chronic Kidney Disease in Children
Ku, E., & Harambat, J. (2022) · Springer eBooks · doi:10.1007/978-3-030-52719-8_127 · Cited by 2
A note on performance metrics for the Kidney Failure Risk Equation
Ålund, O., Unwin, R. J., Challis, B., Kalra, P. A., Taal, M. W., Wheeler, D. C., Fraser, S. D., Cockwell, P., & Söderberg, M. P. (2024) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfae098 · Cited by 2
Endrich, O., Nakas, C. T., Triep, K., Fiedler, M., Jaime, J., & McGuire, A. J. (2024) · Diagnostics · doi:10.3390/diagnostics14222476 · Cited by 2
Kollerits, B., Kotsis, F., Schneider, M. P., Schultheiß, U. T., Weißensteiner, H., Schönherr, S., Forer, L., Meiselbach, H., Wanner, C., Eckardt, K., et al. (2024) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2024.11.004 · Cited by 2
Self-citationToal, M. P., Fergie, R., Quinn, M. P., Hill, C. J., O’Neill, C., & Maxwell, A. P. (2025) · Systematic Reviews · doi:10.1186/s13643-024-02739-2 · Cited by 2
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Validation of the Kidney Failure Risk Equation in the Colombian Population
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Petousis, P., Wilson, J. M., Gelvezon, A. V., Alam, S., Jain, A., Prichard, L., Elashoff, D. A., Raja, N., & Bui, A. A. T. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooae015 · Cited by 2
Gallagher, H., Methven, S., Casula, A. M., Rayner, H. C., Lenguerrand, E., Thomas, N., Dawnay, A., Kennedy, D., Woolnough, L., Nation, M., et al. (2024) · Kidney International · doi:10.1016/j.kint.2024.04.020 · Cited by 2
Escamilla-Cabrera, B., Montomoli, M., Kislikova, M., de la Espada, V., Olarte-García, A., García‐Prieto, A., Sánchez, S. P., Álvarez, Á., Rodríguez-Gayo, L., Centellas-Pérez, J., et al. (2025) · Nefrología (English Edition) · doi:10.1016/j.nefroe.2025.05.003 · Cited by 2
Chronic Kidney Disease and Hypertension
José, P. A., & Villar, V. A. M. (2018) · Springer eBooks · doi:10.1007/978-3-319-92946-0_8 · Cited by 2
The Interdisciplinary Clinic for Chronic Kidney Disease
Pisoni, R., Bauer, C. A., Yee, J., & Campbell, R. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815876-0.00056-5 · Cited by 2
Islet Cell or Pancreas Transplantation
Piemonti, L., Socci, C., Nano, R., Maffi, P., & Secchi, A. (2018) · Endocrinology · doi:10.1007/978-3-319-27317-4_23-1 · Cited by 2
Harris, K., Muntner, P., Woodward, M., Jun, M., Oshima, M., Gong, J., Harrap, S. B., Ménard, J., & Chalmers, J. P. (2022) · Journal of Human Hypertension · doi:10.1038/s41371-022-00661-5 · Cited by 2
Self-citationWhat every doctor needs to know about chronic kidney disease
Kazmi, I., Gullapudi, L., & Taal, M. W. (2018) · British Journal of Hospital Medicine · doi:10.12968/hmed.2018.79.8.438 · Cited by 2
Decreasing the Lower Limit of Quantitation for Urine Albumin Improves Clinical Utility
Greene, D. N., Marzinke, M. A., Carter, C. L., Chen, J., Hoenig, M. P., & Rummel, M. (2022) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfac046 · Cited by 2
Lopez-Martinez, D., Chen, C., & Chen, M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-17721-7_3 · Cited by 2
Time to Implement the Kidney Failure Risk Equation Into Pediatric Practice
Dart, A. B., Komenda, P. V. J., & Tangri, N. (2017) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2017.4092 · Cited by 2
Self-citationWilliams, J. R., & Razavian, N. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.07679 · Cited by 2
From Proteinuria to Albuminuria: Great Expectations for Kidney Failure Risk Prediction
Harrison, T. G., & Hemmelgarn, B. R. (2020) · Annals of Internal Medicine · doi:10.7326/m20-4211 · Cited by 2
Zoccali, C., & Bolignano, D. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734849477.793556999 · Cited by 2
Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients
Naimark, D. M. J. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.08.009 · Cited by 2
Toward Guideline-Directed Medical Therapy in Nephrology
Zeitler, E. M., & Mottl, A. K. (2022) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.12401022 · Cited by 2
Wainstein, M., Rahimi, A. K., Katz, I. J., Healy, H. G., Pirabhahar, S., Turner, K., & Shrapnel, S. (2023) · medRxiv · doi:10.1101/2023.05.16.23290068 · Cited by 2
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Völker, L. A., & Brinkkötter, P. T. (2022) · Dialyse aktuell · doi:10.1055/a-1746-0465 · Cited by 1
Lok, C. E., & Niyyar, V. D. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-79135-9.00015-x · Cited by 1
Bhandari, S., Mehta, S. P., Ives, N. J., & Cockwell, P. (2023) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfad263 · Cited by 1
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Haggerty, L. E., Rifkin, D. E., Nguyen, H. A., Abdelmalek, J. A., Sweiss, N., Miller, L. M., & Potok, O. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03687-8 · Cited by 1
Liu, S., Liao, Y., & Chen, Y. (2024) · International Journal of General Medicine · doi:10.2147/ijgm.s497268 · Cited by 1
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Dogan, L., Abugameh, A., Kolashov, A., Moza, A. K., Goetzenich, A., Stoppe, C., Shoaib, M., Bergmann, D., Spillner, J. W., Khattab, M. A., et al. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14103613 · Cited by 1
Yared, W., Dogan, L., Fassli, A. M., Moza, A. K., Goetzenich, A., Stoppe, C., Mohammed, A. F. A., Kraemer, S., Tewarie, L., Abugameh, A., et al. (2025) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd12080290 · Cited by 1
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Cervantes, C. E., O’Hara, D. V., Álvarez-Elías, A. C., Chandra, Y., Kollár, M., Yi, T. W., Hussein, R. H., Shankar, M., Meena, P., Ma, B. M., et al. (2025) · Kidney International Reports · doi:10.1016/j.ekir.2025.09.037 · Cited by 1
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Akçay, Ö. F. (2025) · American Journal of Nephrology · doi:10.1159/000549046 · Cited by 1
Mathew, G. G. (2025) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-025-04221-x · Cited by 1
Hudson, J. Q., Chang, A., Condon, A. J., Maxson, R., Meaney, C. J., & Peter, W. L. S. (2025) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2025.09.024 · Cited by 1
Hong, R., Hirsch, D., Li, K., Pirabhahar, S., Turner, K., Ha, J. T. K., & Katz, I. J. (2025) · Internal Medicine Journal · doi:10.1111/imj.70281 · Cited by 1
KFRE as a criterion for referral to advanced chronic kidney disease consultations
Gallego‐Valcarce, E., Rey, A., Melero, E. L., Tato, A., Roldán, D. S., Román, S. L. S., Abreu, Á. M., Cases‐Corona, C., & Gruss, E. (2026) · Nefrología (English Edition) · doi:10.1016/j.nefroe.2026.501412 · Cited by 1
Cleary, F., Prieto‐Merino, D., Major, R., Carrero, J. J., & Nitsch, D. (2026) · BMJ Medicine · doi:10.1136/bmjmed-2025-001950 · Cited by 1
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Bavanandan, S., & Prasad, N. (2026) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2026.102098 · Cited by 1
Ye, B., Zhang, X., Zhu, W., Xiao, Z., & Huang, S. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1776419 · Cited by 1
Bae, J., Lee, M., Kim, H. W., Park, J. T., Han, S. H., Lee, B. I., Kang, E. S., Cha, B., Yoo, T., & Lee, Y. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70816 · Cited by 1
Créon, A., Magnani, M., Maas, C. C. H. M., van Diepen, M., Caldinelli, A., Russel, W. A., Dekker, F. W., Carrero, J. J., & Fu, E. L. (2026) · Clinical Kidney Journal · doi:10.1093/ckj/sfag187 · Cited by 1
Collado, A. T., Toapanta, N., Cabezas, M. R., Bedoya, H. L., Tatis, E., Sacaluga, L. G., Sánchez-Pozo, M. C., Tangri, N., Soler, M. J., & Prieto, F. J. T. (2026) · Clinical Kidney Journal · doi:10.1093/ckj/sfag192 · Cited by 1
Self-citationMiyamoto, Y., Xu, F., Zaganjor, I., Pavkov, M. E., Koyama, A. K., & Onufrak, S. J. (2026) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2026.103581 · Cited by 1
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Malijan, G. M., Herrington, W. G., Judge, P. K., Sardell, R. J., Phd, D. C., Hill, M., Moffat, S., Zhu, D., Cheung, A. K., Steubl, D., et al. (2026) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.0000001203 · Cited by 1
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Weiss, J. W., & Woodell, T. B. (2018) · Elsevier eBooks · doi:10.1016/b978-0-323-52978-5.00005-7 · Cited by 2
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Lee, K. H., Yu, B. C., Park, M. Y., Kim, J. K., & Choi, S. J. (2023) · Journal of Korean Dialysis Access · doi:10.56774/jkda23004 · Cited by 1
Bundó-Luque, D., Cunillera, O., Guerrero, S. C., Romano, J., Arbiol‐Roca, A., Domínguez-Alonso, J. A., Cruzado, J. M., & Salvador-González, B. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2024.1497780 · Cited by 1
Risk Stratification for CKD Progression in Primary Care
Mutatiri, C., Ratsch, A., McGrail, M. R., Venuthurupalli, S. K., & Kondalsamy‐Chennakesavan, S. (2025) · Kidney International Reports · doi:10.1016/j.ekir.2025.02.037 · Cited by 1
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Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights
Pandit, K., Coudray, N., Quiros, A. C., Surapaneni, A., Upadhyay, D., Vanguri, R., Hirohama, D., Mohandes, S., Schlosser, P., Thiessen‐Philbrook, H., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-19193-2 · Cited by 1
Self-citationTroya, M. I., Bover, J., Hidalgo, A. C., Malumbres, S., Sánchez-Baya, M., Massó, E., Coll-Brito, V., Antón-Pàmpols, P., Silva, I. D., Soler-Majoral, J., et al. (2025) · Nefrología (English Edition) · doi:10.1016/j.nefroe.2025.501410 · Cited by 1
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Claudel, S. E., Kar, D., Majeed, A., Burgwinkle, P. S., & Verma, A. (2025) · BMJ · doi:10.1136/bmj-2025-084911 · Cited by 1
da Silva, B. M., Silveira, I., Lopes, J. A., & Gameiro, J. (2025) · Nefrología · doi:10.1016/j.nefro.2025.501473 · Cited by 1
Fasting urine osmolality and risk of kidney disease progression in patients with type 2 diabetes
Liu, J.-J., Liu, S., Keizer, J. D., Zheng, H., Lee, J., Javaugue, V., Gurung, R. L., Ang, K., Potier, L., Nelson, R. G., et al. (2025) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfaf264 · Cited by 1
Self-citationKiss, K., Saeed, A., Ricksten, S., & Bragadottir, G. (2026) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.70059 · Cited by 1
Shi, Y., Dong, Z., Shan, X., Wang, X., Huang, S., Liu, H., & Zhang, L. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1812362 · Cited by 1
A Framework for Risk-Based Implementation of Combination Therapy in CKD
Yeung, E. K., Rangaswami, J., Tuttle, K. R., Grams, M. E., Tangri, N., Vaduganathan, M., & Neuen, B. L. (2026) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.0000001158 · Cited by 1
Self-citationUse of Cystatin C in Tandem with Creatinine to Improve GFR Estimation and Clinical Decision Making
Awdishu, L., Karger, A. B., Shlipak, M. G., & Estrella, M. M. (2026) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000001201 · Cited by 1
Interplay between Diagnostic Criteria and Prognostic Accuracy in Chronic Kidney Disease
Remuzzi, G., & Glassock, R. J. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002129 · Cited by 1
Islet Cell or Pancreas Transplantation
Piemonti, L., Socci, C., Nano, R., Maffi, P., & Secchi, A. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_23 · Cited by 2
Preparation for Renal Replacement Therapy
Troutman, H. R. (2021) · Springer eBooks · doi:10.1007/978-3-030-83082-3_23 · Cited by 2
Machine learning and chronic kidney disease risk prediction
Wainstein, M., Shrapnel, S., Clark, C. L., Hoy, W. E., Healy, H. G., & Katz, I. J. (2021) · African Journal of Nephrology · doi:10.21804/24-1-4748 · Cited by 1
Managing Transition between dialysis modalities: a call for Integrated care In Dialysis Units
Dias, B. F., & Rodrigues, A. S. (2022) · Bulletin de la Dialyse à Domicile · doi:10.25796/bdd.v4i4.69113 · Cited by 1
Staging and Management of Chronic Kidney Disease
Inker, L. A., & Levey, A. S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-323-47794-9.00052-4 · Cited by 1
Self-citationJafar, T. H., Tan, N. C., Gandhi, M., Yoon, S., Finkelstein, E. A., Moey, P. K. S., Ong, R., Thiagarajah, A. G., Lee, B. L., To, K. C., et al. (2024) · Trials · doi:10.1186/s13063-024-08564-1 · Cited by 1
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Schneider, M. P., & Eckardt, K. (2019) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-0641-9625 · Cited by 1
Matrix Metalloproteinases in Health and Disease
Serra, R. (2020) · MDPI eBooks · doi:10.3390/books978-3-03943-053-6 · Cited by 1
de Pinho, N. A., Metzger, M., Hamroun, A., Laville, S. M., Prezelin‐Reydit, M., Combe, C., Fouque, D. P., Laville, M., Massy, Z. A., Herpe, Y.-É., et al. (2023) · Néphrologie & Thérapeutique · doi:10.1684/ndt.2023.35 · Cited by 1
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Yee, J., & Campbell, R. C. (2017) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2017.06.003 · Cited by 1
The Times, They Are A-Changin: Innovations in Health Care Delivery To Reduce CKD Progression
Abdel-Kader, K. F. M. (2017) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.07410717 · Cited by 1
Does CPAP Improve Chronic Kidney Disease in OSA?
Sivam, S., Singer, R. F., & Yee, B. J. (2021) · CHEST Journal · doi:10.1016/j.chest.2021.01.014 · Cited by 1
Progression of Chronic Kidney Disease
Elliott, M. J., Bhatt, M., Ma, B., & James, M. T. (2022) · Wiley eBooks · doi:10.1002/9781119105954.ch3 · Cited by 1
Application of digital technology and artificial intelligence in nephrology
Chaudhuri, S. (2023) · doi:10.26481/dis.20230622sc · Cited by 1
Éthier, J., Lemyre, F. C., Domingue, M., Morissette, J.-P., & Burgun, A. (2025) · Research Square · doi:10.21203/rs.3.rs-7110391/v1 · Cited by 1
Martinez, J., Castano-Villegas, N., Perez, A., Jimenez, D., Zea, J., Llano, I., Caro, D., Arango, J. J., Buelvas, W., la Espriella-Badel, V. D., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7888843/v1 · Cited by 1
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Indurkar, P., Jindwani, K., Jain, A., Singh, K. K., & Baghel, P. K. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns3.6490
Kramer, H., & Navaneethan, S. D. (2019) · Nephrology Self-Assessment Program · doi:10.1681/nsap.2019.18.4.2
Self-citationRavi, V., Singh, S. K., & Yadav, C. B. (2015) · História histórias · doi:10.26512/hh.v3i5.10823
Patel, S. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815876-0.00077-2
Metadata
- 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
- 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
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