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Estimating Glomerular Filtration Rate from Serum Creatinine and Cystatin C
Open accessAbstract
BACKGROUND: Estimates of glomerular filtration rate (GFR) that are based on serum creatinine are routinely used; however, they are imprecise, potentially leading to the overdiagnosis of chronic kidney disease. Cystatin C is an alternative filtration marker for estimating GFR. METHODS: Using cross-sectional analyses, we developed estimating equations based on cystatin C alone and in combination with creatinine in diverse populations totaling 5352 participants from 13 studies. These equations were then validated in 1119 participants from 5 different studies in which GFR had been measured. Cystatin and creatinine assays were traceable to primary reference materials. RESULTS: Mean measured GFRs were 68 and 70 ml per minute per 1.73 m(2) of body-surface area in the development and validation data sets, respectively. In the validation data set, the creatinine-cystatin C equation performed better than equations that used creatinine or cystatin C alone. Bias was similar among the three equations, with a median difference between measured and estimated GFR of 3.9 ml per minute per 1.73 m(2) with the combined equation, as compared with 3.7 and 3.4 ml per minute per 1.73 m(2) with the creatinine equation and the cystatin C equation (P=0.07 and P=0.05), respectively. Precision was improved with the combined equation (interquartile range of the difference, 13.4 vs. 15.4 and 16.4 ml per minute per 1.73 m(2), respectively [P=0.001 and P<0.001]), and the results were more accurate (percentage of estimates that were >30% of measured GFR, 8.5 vs. 12.8 and 14.1, respectively [P<0.001 for both comparisons]). In participants whose estimated GFR based on creatinine was 45 to 74 ml per minute per 1.73 m(2), the combined equation improved the classification of measured GFR as either less than 60 ml per minute per 1.73 m(2) or greater than or equal to 60 ml per minute per 1.73 m(2) (net reclassification index, 19.4% [P<0.001]) and correctly reclassified 16.9% of those with an estimated GFR of 45 to 59 ml per minute per 1.73 m(2) as having a GFR of 60 ml or higher per minute per 1.73 m(2). CONCLUSIONS: The combined creatinine-cystatin C equation performed better than equations based on either of these markers alone and may be useful as a confirmatory test for chronic kidney disease. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases.).
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“Stable GFR values are clinically more important than transient elevations in serum creatinine or other biomarkers, which may be influenced by extrarenal factors such as muscle mass, diet, or supplementation [1, 2].”
From Effect of creatine supplementation on kidney function: a systematic review and meta-analysis (2025) · cites this paper as [2]
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“GFR is considered the best overall indicator of renal function in both healthy individuals and patients with kidney disease.”
From Effect of creatine supplementation on kidney function: a systematic review and meta-analysis (2025) · cites this paper as [2]
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“Adding cystatin C to serum creatinine improves the accuracy of race-neutral eGFR equations (476,477)”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [477]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“CyC has been validated as a marker of renal function in multiple large clinical cohorts54 comprising patients without acute disease.”
From Cystatin C is glucocorticoid responsive, directs recruitment of Trem2+ macrophages, and predicts failure of cancer immunotherapy (2023) · cites this paper as [54]
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“helping to explain the validated utility of CyC as a marker of renal function in patients without acute illness.54”
From Cystatin C is glucocorticoid responsive, directs recruitment of Trem2+ macrophages, and predicts failure of cancer immunotherapy (2023) · cites this paper as [54]
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“Associations between serum NfL and renal function (serum creatinine, glomerular filtration rate estimated via the CKD-EPI equation (30), and glomerular filtration rate ≤ 60 mL/min/1.73 m2 as indicator of kidney disease) were investigated using linear or logistic regression models [adjusted for age, sex, and body mass index (31)], respectively.”
From A Method to Combine Neurofilament Light Measurements From Blood Serum and Plasma in Clinical and Population-Based Studies (2022) · cites this paper as [30]
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“For the association between protein levels and liver function enzymes log[ALT] (field 30620); log[AST] (field 30650); estimated glomerular filtration rate (eGFR) calculated using the combined creatinine-cystatin C equation from the CKD-EPI study 56 , with relevant parameters obtained from fields 30700 (creatinine), 30720 (cystatin C), 21000 (ethnicity) in addition to age and sex; smoking status (f”
From Plasma proteomic associations with genetics and health in the UK Biobank (2023) · cites this paper as [56]
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“Reductions in body weight with tirzepatide would be expected to reduce skeletal muscle to some extent, which could influence creatinine dependent of changes in kidney function, and for this reason, we calculated eGFR using cystatin C in place of creatinine.”
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“Estimated glomerular filtration rate (eGFR) was calculated according to the CKD-EPI creatinine and cystatin C formula20, with CKD defined as eGFR <60 ml/min/1.73m2 (CKD stage 3 or beyond).”
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Citations
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
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-citationAn Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Ahmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Levey, A. S., Coresh, J., Greene, T., Stevens, L. A., Zhang, Y., Hendriksen, S. M., Kusek, J. W., & Lente, F. V. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-4-200608150-00004 · Cited by 5,726
Self-citationAssessing Kidney Function — Measured and Estimated Glomerular Filtration Rate
Stevens, L. A., Coresh, J., Greene, T., & Levey, A. S. (2006) · New England Journal of Medicine · doi:10.1056/nejmra054415 · Cited by 2,952
Self-citationLevey, 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
Self-citation
Research works printed but not linked: 1
- Stevens LA, 2008, J Nephrol, 21, 797
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Tidmas, V., Brazier, J., Bottoms, L. M., Muniz‐Pumares, D., Desai, T., Hawkins, J., Sridharan, S., & Farrington, K. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416887 · Cited by 37
Tao, J., Sang, D., Zhen, L., Zhang, X., Li, Y., Wang, G., Chen, S., Wu, S., & Zhang, W. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01796-6 · Cited by 33
Peters, B. A., Liu, X., Hall, M. N., Ilievski, V., Slavkovich, V. N., Siddique, A. B., Alam, S., Islam, T., Graziano, J. H., & Gamble, M. V. (2015) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2015.04.020 · Cited by 33
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van Ballegooijen, A. J., Gansevoort, R. T., Lambers-Heerspink, H. J., de Zeeuw, D., Visser, M., Brouwer, I. A., Kema, I. P., de Borst, M. H., Bakker, S. J. L., & Joosten, M. M. (2015) · Hypertension · doi:10.1161/hypertensionaha.115.05837 · Cited by 33
Mandelli, S., Riva, E., Tettamanti, M., Detoma, P., Giacomin, A., & Lucca, U. (2015) · PLoS ONE · doi:10.1371/journal.pone.0136039 · Cited by 33
Delanaye, P., Cavalier, E., Moranne, O. P., Lutteri, L., Krzesinski, J.-M., & Bruyère, O. (2013) · BMC Nephrology · doi:10.1186/1471-2369-14-57 · Cited by 33
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Rooney, M. R., Tang, O., Pankow, J. S., & Selvin, E. (2020) · Diabetologia · doi:10.1007/s00125-020-05285-3 · Cited by 34
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Widén, E., Raben, T. G., Lello, L., & Hsu, S. (2021) · Genes · doi:10.3390/genes12070991 · Cited by 33
Tsujita, M., Doi, Y., Obi, Y., Hamano, T., Tomosugi, T., Futamura, K., Okada, M., Hiramitsu, T., Goto, N., Isaka, Y., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4469 · Cited by 33
Bundy, J. D., Rahman, M., Matsushita, K., Jaeger, B. C., Cohen, J. B., Chen, J., Deo, R., Dobre, M. A., Feldman, H. I., Flack, J. M., et al. (2022) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021060747 · Cited by 33
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Schäeffner, E., Ebert, N., Kuhlmann, M. K., Martus, P., Mielke, N., Schneider, A., van der Giet, M., & Huscher, D. (2022) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.16631221 · Cited by 33
Nerpin, E., Helmersson‐Karlqvist, J., Risérus, U., Sundström, J., Larsson, A. O., Jobs, E. N., Basu, S., Ingelsson, E., & Ärnlöv, J. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-537 · Cited by 33
Ali, H., Hussain, N., Naim, M., Zayed, M., Al‐Mulla, F., Kehinde, E. O., Seaburg, L., Sundsbak, J. L., & Harris, P. C. (2015) · BMC Nephrology · doi:10.1186/s12882-015-0015-7 · Cited by 33
de Winter, C. F., van den Berge, A. P. J., Schoufour, J. D., Oppewal, A., & Evenhuis, H. M. (2016) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2016.01.020 · Cited by 33
Nassirpour, R., Raj, D., Townsend, R. R., & Argyropoulos, C. (2016) · Food and Chemical Toxicology · doi:10.1016/j.fct.2016.02.018 · Cited by 33
McFadden, E. C., Hirst, J. A., Verbakel, J. Y. J., McLellan, J., Hobbs, R. F., Stevens, R., O’Callaghan, C. A., & Lasserson, D. S. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2017.276683 · Cited by 34
Cheung, K. L., Zakai, N. A., CALLAS, P. W., Howard, G., Mahmoodi, B. K., Peralta, C. A., Judd, S. E., Tamura, M. K., & Cushman, M. (2018) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14235 · Cited by 33
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Zhou, Y., Qi, C., Li, S., Shao, X., Mou, S., & Ni, Z. (2018) · Cellular Physiology and Biochemistry · doi:10.1159/000495491 · Cited by 33
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Liu, D., Aziz, N. A., Pehlivan, G., & Breteler, M. M. B. (2023) · GeroScience · doi:10.1007/s11357-022-00714-0 · Cited by 34
Pinsino, A., Carey, M. R., Husain, S., Mohan, S., Radhakrishnan, J., Jennings, D. L., Nguonly, A., Ladanyi, A., Braghieri, L., Takeda, K., et al. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2023.03.005 · Cited by 32
Selby, N. M., & Taal, M. W. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15683 · Cited by 32
Tang, W. H. W., Lemaître, R. N., Jensen, P. N., Wang, M., Wang, Z., Li, X. S., Nemet, I., Lee, Y., Lai, H. T. M., Otto, M. C. D. O., et al. (2024) · Circulation Heart Failure · doi:10.1161/circheartfailure.124.011569 · Cited by 32
Loeb, G. B., Kathail, P., Shuai, R. W., Chung, R., Grona, R. J., Peddada, S., Sevim, V., Federman, S., Mader, K., Chu, A. Y., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01904-6 · Cited by 35
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Kobayashi, T., Matsumura, Y., Ozawa, T., Yanai, H., Iwasawa, A., Kamachi, T., Fujiwara, K., Tanaka, N., & Kohno, M. (2013) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7472-2 · Cited by 32
Adachi, M., Tanaka, A., Aiso, M., Takamori, Y., & Takikawa, H. (2015) · Hepatology Research · doi:10.1111/hepr.12508 · Cited by 32
Seape, T., Gounden, V., van Deventer, H. E., Candy, G. P., & George, J. A. (2015) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563215579695 · Cited by 33
Beddhu, S., Chen, X., Wei, G., Raj, D. S., Raphael, K. L., Boucher, R. E., Chonchol, M. B., Murtaugh, M. A., & Greene, T. (2017) · Kidney International Reports · doi:10.1016/j.ekir.2017.01.002 · Cited by 32
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Anderson, J. L. C., Gruppen, E. G., van Tienhoven‐Wind, L. J. N., Eisenga, M. F., de Vries, H., Gansevoort, R. T., Bakker, S. J. L., & Dullaart, R. P. F. (2017) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2017.10.009 · Cited by 32
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Kaneko, R., Sawada, S., Tokita, A., Honkura, R., Tamura, N., Kodama, S., Izumi, T., Takahashi, K., Uno, K., Imai, J., et al. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.003 · Cited by 32
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Salman, D. Ö., Şıklar, Z., İlarslan, N. E. Ç., Özçakar, Z. B., Kocaay, P., & Berberoğlu, M. (2018) · Journal of Clinical Research in Pediatric Endocrinology · doi:10.4274/jcrpe.0046 · Cited by 33
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Sprangers, B., Abudayyeh, A., Latcha, S., Perazella, M. A., & Jhaveri, K. D. (2020) · European Journal of Cancer · doi:10.1016/j.ejca.2020.03.026 · Cited by 32
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Topletz‐Erickson, A. R., Lee, A. J., Mayor, J. G., Rustia, E. L., Abdulrasool, L. I., Wise, A. L., Dailey, B., DeChenne, S., Walker, L. N., Alley, S. C., et al. (2020) · The Journal of Clinical Pharmacology · doi:10.1002/jcph.1750 · Cited by 32
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Bundy, J. D., Mills, K. T., Anderson, A. H., Yang, W., Chen, J., He, J., & CRIC Study Investigators* (2022) · Annals of Internal Medicine · doi:10.7326/m21-2928 · Cited by 32
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Kuh, D. J., Cooper, R., Sattar, N. A., Welsh, P. I., Hardy, R., & Ben‐Shlomo, Y. (2019) · Circulation · doi:10.1161/circulationaha.118.037332 · Cited by 32
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González-Quiroz, M., Nitsch, D., Hamilton, S., O’Callaghan‐Gordo, C., Saran, R., Glaser, J. R., Correa‐Rotter, R., Jakobsson, K., Singh, A. K., Gunawardena, N. S., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-031169 · Cited by 31
Herold, J. M., Wiegrebe, S., Nano, J., Jung, B., Gorski, M., Thorand, B., Köenig, W., Zeller, T., Zimmermann, M. E., Burkhardt, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2024.06.024 · Cited by 31
Current Concepts in the Diagnosis and Classification of Renal Dysfunction in Cirrhosis
Mindikoglu, A. L., & Weir, M. R. (2013) · American Journal of Nephrology · doi:10.1159/000355540 · Cited by 31
Bretagne, M., Jouinot, A., Durand, J.-P., Huillard, O., Boudou, P., Tlemsani, C., Arrondeau, J., Sarfati, G., Goldwasser, F., & Alexandre, J. (2017) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-017-3326-5 · Cited by 31
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Ravn, B., Rimes‐Stigare, C., Bell, M., Hansson, M. E. A., Hansson, L., Martling, C., Larsson, A. O., & Mårtensson, J. (2019) · Journal of Critical Care · doi:10.1016/j.jcrc.2019.04.007 · Cited by 31
Wilechansky, R. M., Pedley, A., Massaro, J. M., Hoffmann, U., Benjamin, E. J., & Long, M. T. (2019) · Liver International · doi:10.1111/liv.14125 · Cited by 32
Cobb, R. J., Thorpe, R. J., & Norris, K. C. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz294 · Cited by 31
Iakunchykova, O. P., Averina, M., Kudryavtsev, A. V., Wilsgaard, T., Soloviev, A. G., Schirmer, H., Cook, S., & Leon, D. A. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.014491 · Cited by 32
Sydorchuk, L., Dzhuriak, V., Sydorchuk, A., Levytska, S. А., Petrynych, V. V., Кнут, Р. П., Kshanovska, A., Iftoda, O., Ткачук, О. В., Kyfiak, P., et al. (2020) · Endocrine Regulations · doi:10.2478/enr-2020-0024 · Cited by 31
Sim, M., Via, J. D., Scott, D. S., Lim, W. H., Hodgson, J. M., Zhu, K., Daly, R. M., Duque, G., Prince, R. L., & Lewis, J. R. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab369 · Cited by 31
Prediction of Incident Heart Failure in CKD: The CRIC Study
Zelnick, L. R., Shlipak, M. G., Soliman, E. Z., Anderson, A. H., Christenson, R. H., Kansal, M. M., Deo, R., He, J., Jaar, B. G., Weir, M. R., et al. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.01.1067 · Cited by 31
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Florido, R., Kwak, L., Echouffo-Tcheugui, J. B., Zhang, S., Michos, E. D., Nambi, V., Goldberg, R. B., Hoogeveen, R. C., Lazo, M., Gerstenblith, G., et al. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.023238 · Cited by 31
Self-citationAssociation of Plant Protein Intake With Risk of Incident CKD: A UK Biobank Study
Heo, G. Y., Koh, H. B., Kim, H. J., Kim, K. W., Jung, C., Kim, H. W., Chang, T. I., Park, J. T., Yoo, T., Kang, S., et al. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2023.05.007 · Cited by 32
Serum Cystatin C, Markers of Chronic Kidney Disease, and Retinopathy in Persons with Diabetes
Wong, C. W., Teo, B. W., Lamoureux, E. L., Ikram, M. K., Wang, J. J., Tai, E. S., Sethi, S. K., Wong, T. Y., & Sabanayagam, C. (2015) · Journal of Diabetes Research · doi:10.1155/2015/404280 · Cited by 31
Kidney size and function in a multi-ethnic population-based cohort of school-age children
Bakker, H., Kooijman, M. N., van der Heijden, A. J., Albert Hofman, D., Franco, O. H., Taal, H. R., & Jaddoe, V. W. V. (2014) · Pediatric Nephrology · doi:10.1007/s00467-014-2793-8 · Cited by 32
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Grams, M. E., & Coresh, J. (2012) · Nature Reviews Nephrology · doi:10.1038/nrneph.2012.248 · Cited by 33
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Mocroft, A., Ryom, L., Begovać, J., Monforte, A. D., Vassilenko, A., Gatell, J. M., Florence, É., Ormaasen, V., Kirk, O., & Lundgren, J. D. (2013) · AIDS · doi:10.1097/qad.0000000000000134 · Cited by 31
Key influence of sex on urine volume and osmolality
Perinpam, M., Ware, E. B., Smith, J. A., Turner, S. T., Kardia, S. L. R., & Lieske, J. C. (2016) · Biology of Sex Differences · doi:10.1186/s13293-016-0063-0 · Cited by 31
Effect of glycemic index and carbohydrate intake on kidney function in healthy adults
Juraschek, S. P., Chang, A. R., Appel, L. J., Anderson, C. A. M., Crews, D. C., Thomas, L., Charleston, J. B., & Miller, E. R. (2016) · BMC Nephrology · doi:10.1186/s12882-016-0288-5 · Cited by 32
Foster, M. C., Weiner, D. E., Bostom, A. G., Carpenter, M. A., Inker, L. A., Jarolı́m, P., Joseph, A., Kusek, J. W., Pesavento, T. E., Pfeffer, M. A., et al. (2017) · American Journal of Transplantation · doi:10.1111/ajt.14258 · Cited by 31
Self-citationScheepers, L. E. J. M., Boonen, A. E. R. C. H., Dagnelie, P. C., Schram, M. T., Kallen, C., Henry, R. M. A., Kroon, A. A., Stehouwer, C. D. A., & Arts, I. C. W. (2017) · Journal of Hypertension · doi:10.1097/hjh.0000000000001417 · Cited by 31
Tajuddin, S. M., Nalls, M. A., Zonderman, A. B., & Evans, M. K. (2017) · Journal of Translational Medicine · doi:10.1186/s12967-017-1313-6 · Cited by 31
Hirahatake, K. M., Jacobs, D. R., Gross, M. D., Bibbins-Domingo, K. B., Shlipak, M. G., Mattix-Kramer, H. J., & Odegaard, A. (2018) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2018.05.008 · Cited by 32
Brake, L. H. M. T., Yunivita, V., Livia, R., Soetedjo, N. N. M., Kolmer, E. W. J. V. E.-B., Koenderink, J. B., Burger, D. M., Santoso, P., van Crevel, R., Alisjahbana, B., et al. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1232 · Cited by 31
GFR Measurement and Chemotherapy Dosing in Patients with Kidney Disease and Cancer
McMahon, B. A., & Rosner, M. H. (2020) · Kidney360 · doi:10.34067/kid.0000952019 · Cited by 31
Coelho, T., Waddington‐Cruz, M., Chao, C., Parman, Y., Wixner, J., Weiler, M., Barroso, F. A., Dasgupta, N. R., Jung, S. W., Schneider, E., et al. (2022) · Neurology and Therapy · doi:10.1007/s40120-022-00414-z · Cited by 31
Post, A., Dam, W., Sokooti, S., Groothof, D., Gloerich, J., van Gool, A. J., Kremer, D., Gansevoort, R. T., van den Born, J., Kema, I. P., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac729 · Cited by 30
Assessing GFR With Proenkephalin
Beunders, R., Donato, L. J., van Groenendael, R., Arlt, B., Carvalho‐Wodarz, C. D. S., Schulte, J., Coolen, A. C., Lieske, J. C., Meeusen, J. W., Jaffe, A. S., et al. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.08.006 · Cited by 31
Moreno‐González, R., Cruzado, J. M., Corsonello, A., Fabbietti, P., Tap, L., Mattace-Raso, F. U. S., Ärnlöv, J., Carlsson, A. C., Guligowska, A., Kostka, T., et al. (2023) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2023.12.002 · Cited by 30
Hanna, P. E., Ouyang, T., Tahir, I., Katz‐Agranov, N., Wang, Q., Mantz, L., Strohbehn, I. A., Moreno, D., Harden, D., Dinulos, J. E., et al. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13469 · Cited by 34
Khan, A. A., Ali, D. S., Appelman‐Dijkstra, N. M., Carpenter, T. O., Chaussain, C., Imel, E. A., de Beur, S. M. J., Florenzano, P. F., Alrob, H. A., Dabagh, R. A., et al. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf170 · Cited by 30
Lucas, G., Cozzi‐Lepri, A., Wyatt, C., Post, F. A., Bormann, A., Crum‐Cianflone, N. F., Ross, M., & INSIGHT SMART Study Group (2013) · HIV Medicine · doi:10.1111/hiv.12087 · Cited by 30
Bugaj, J. E., & Dorshow, R. B. (2015) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2015.02.018 · Cited by 30
Impact of chronic kidney disease on postoperative outcome following colorectal cancer surgery
Currie, A., Malietzis, G. A., Askari, A., Nachiappan, S., Swift, P. A., Jenkins, J. T., Faiz, O. D., & Kennedy, R. H. (2014) · Colorectal Disease · doi:10.1111/codi.12665 · Cited by 30
Carter, C. E., Katz, R., Kramer, H., de Boer, I. H., Kestenbaum, B. R., Peralta, C. A., Siscovick, D. S., Sarnak, M. J., Levey, A. S., Inker, L. A., et al. (2013) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2013.05.010 · Cited by 30
Self-citationClinical use of Biomarkers for Toxicant-Induced Acute Kidney Injury
Pianta, T. J., Buckley, N. A., Peake, P. W., & Endre, Z. H. (2013) · Biomarkers in Medicine · doi:10.2217/bmm.13.51 · Cited by 30
Regional Variation of Chronic Kidney Disease in Germany: Results From Two Population-Based Surveys
Aumann, N., Baumeister, S. E., Rettig, R., Lieb, W., Werner, A., Döring, A., Peters, A., Köenig, W., Hannemann, A., Wallaschofski, H., et al. (2015) · Kidney & Blood Pressure Research · doi:10.1159/000368499 · Cited by 30
Canales, M. T., Hagen, E. W., Barnet, J. H., Peppard, P. E., & Derose, S. F. (2018) · Sleep · doi:10.1093/sleep/zsx181 · Cited by 29
Metadata
- Authors
- Inker, L. A., Schmid, C. H., Tighiouart, H., Eckfeldt, J. H., Feldman, H. I., Greene, T., Kusek, J. W., Manzi, J., Van Lente, F., Zhang, Y. L., Coresh, J., & Levey, A. S.
- Affiliations
- Tufts Medical Center (US)
- University of Minnesota (US)
- University of Pennsylvania (US)
- University of Utah (US)
- National Institutes of Health (US)
- Johns Hopkins University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2012-07-05
- Volume
- 367
- Issue
- 1
- Pages
- 20-29
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC4398023
- OpenAlex
- W2118625269
- Semantic Scholar
- 864b8e44b48f701b2cf2f7609bfcb54c52d74233
- Cited by
- 4,102
- References
- 29
- Citations by year
- 2026: 232 · 2025: 357 · 2024: 353 · 2023: 398 · 2022: 374 · 2021: 356 · 2020: 345 · 2019: 286 · 2018: 273 · 2017: 277 · 2016: 240 · 2015: 224 · 2014: 201 · 2013: 147 · 2012: 35
- FWCI
- 152.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01dk053869-08, UL1TR000439)
- National Institute of Diabetes and Digestive and Kidney Diseases (U01-DK053869, U01DK067651, U01DK035073)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- glomerular filtration rate estimation, cystatin C, serum creatinine, chronic kidney disease, estimating equations, overdiagnosis
- MeSH terms
- Adult, Aged, Creatinine, Cross-Sectional Studies, Female, Glomerular Filtration Rate, Humans, Male, Middle Aged, Biomarkers, Renal Insufficiency, Chronic, Cystatin C, Mathematical Concepts
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