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For: Kuster N, Cristol JP, Cavalier E, Bargnoux AS, Halimi JM, Froissart M, Piéroni L, Delanaye P; Société Française de Biologie Clinique (SFBC). Enzymatic creatinine assays allow estimation of glomerular filtration rate in stages 1 and 2 chronic kidney disease using CKD-EPI equation. Clin Chim Acta 2014;428:89-95. [PMID: 24220551 DOI: 10.1016/j.cca.2013.11.002] [Cited by in Crossref: 19] [Cited by in F6Publishing: 18] [Article Influence: 2.1] [Reference Citation Analysis]
Number Citing Articles
1 Berg AH, Van Eyk J. Which Methods for Determining Glomerular Filtration Rate Most Strongly Associate with Risk of Progression of Kidney Disease? Clin Chem 2019;65:361-2. [PMID: 30647125 DOI: 10.1373/clinchem.2018.300731] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
2 Morena M, Jaussent I, Dupuy AM, Bargnoux AS, Kuster N, Chenine L, Leray-Moragues H, Klouche K, Vernhet H, Canaud B. Osteoprotegerin and sclerostin in chronic kidney disease prior to dialysis: potential partners in vascular calcifications. Nephrol Dial Transplant. 2015;30:1345-1356. [PMID: 25854266 DOI: 10.1093/ndt/gfv081] [Cited by in Crossref: 63] [Cited by in F6Publishing: 56] [Article Influence: 9.0] [Reference Citation Analysis]
3 Bargnoux A, Beaufils O, Oguike M, Lopasso A, Dupuy A, Sebbane M, Badiou S, Fesler P, Cristol J. Point-of-care creatinine testing in patients receiving contrast-enhanced computed tomography scan. Clinica Chimica Acta 2018;478:111-3. [DOI: 10.1016/j.cca.2017.12.025] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
4 Smith AF, Shinkins B, Hall PS, Hulme CT, Messenger MP. Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes. Clin Chem 2019;65:1363-74. [PMID: 31444309 DOI: 10.1373/clinchem.2018.300954] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
5 Fuhrmann M, Schwaeble Santamaria A, Scott R, Meeusen JW, Fernandes M, Venz J, Rothe V, Stämmler F, Ehrich J, Schiffer E. Analytical Validation of GFRNMR: A Blood-Based Multiple Biomarker Assay for Accurate Estimation of Glomerular Filtration Rate. Diagnostics 2022;12:1120. [DOI: 10.3390/diagnostics12051120] [Reference Citation Analysis]
6 Ognibene A, Grandi G, Lorubbio M, Rapi S, Salvadori B, Terreni A, Veroni F. KDIGO 2012 Clinical Practice Guideline CKD classification rules out creatinine clearance 24 hour urine collection? Clinical Biochemistry 2016;49:85-9. [DOI: 10.1016/j.clinbiochem.2015.07.030] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 1.8] [Reference Citation Analysis]
7 Pottel H, Delay A, Maillard N, Mariat C, Delanaye P. 20-year longitudinal follow-up of measured and estimated glomerular filtration rate in kidney transplant patients. Clin Kidney J 2021;14:909-16. [PMID: 33777374 DOI: 10.1093/ckj/sfaa034] [Reference Citation Analysis]
8 Ueda S, Sakasegawa SI. A novel assay for serum creatinine using a creatine kinase cycling reaction. Biosci Biotechnol Biochem 2021;85:1063-8. [PMID: 33629709 DOI: 10.1093/bbb/zbab027] [Reference Citation Analysis]
9 Kappelmayer J, Antal-Szalmás P, Nagy B Jr. Human epididymis protein 4 (HE4) in laboratory medicine and an algorithm in renal disorders. Clin Chim Acta 2015;438:35-42. [PMID: 25127713 DOI: 10.1016/j.cca.2014.07.040] [Cited by in Crossref: 20] [Cited by in F6Publishing: 19] [Article Influence: 2.5] [Reference Citation Analysis]
10 Peyriere H, Cournil A, Casanova ML, Badiou S, Cristol JP, Reynes J. Long-Term Follow-Up of Proteinuria and Estimated Glomerular Filtration Rate in HIV-Infected Patients with Tubular Proteinuria. PLoS One 2015;10:e0142491. [PMID: 26571117 DOI: 10.1371/journal.pone.0142491] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
11 Glassock RJ, Warnock DG, Delanaye P. The global burden of chronic kidney disease: estimates, variability and pitfalls. Nat Rev Nephrol. 2017;13:104-114. [PMID: 27941934 DOI: 10.1038/nrneph.2016.163] [Cited by in Crossref: 128] [Cited by in F6Publishing: 119] [Article Influence: 21.3] [Reference Citation Analysis]
12 Nyman U, Björk J, Bäck S, Sterner G, Grubb A. Estimating GFR prior to contrast medium examinations—what the radiologist needs to know! Eur Radiol 2016;26:425-35. [DOI: 10.1007/s00330-015-3842-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
13 Morena M, Le May C, Chenine L, Arnaud L, Dupuy AM, Pichelin M, Leray-Moragues H, Chalabi L, Canaud B, Cristol JP, Cariou B. Plasma PCSK9 concentrations during the course of nondiabetic chronic kidney disease: Relationship with glomerular filtration rate and lipid metabolism. J Clin Lipidol 2017;11:87-93. [PMID: 28391915 DOI: 10.1016/j.jacl.2016.10.005] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 2.7] [Reference Citation Analysis]
14 Chew-Harris JS, Florkowski CM, George PM, Endre ZH. Comparative performances of the new chronic kidney disease epidemiology equations incorporating cystatin C for use in cancer patients. Asia Pac J Clin Oncol 2015;11:142-51. [PMID: 25471594 DOI: 10.1111/ajco.12312] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 1.4] [Reference Citation Analysis]
15 Delanaye P, Cavalier E, Cristol JP, Delanghe JR. Calibration and precision of serum creatinine and plasma cystatin C measurement: impact on the estimation of glomerular filtration rate. J Nephrol 2014;27:467-75. [PMID: 24711159 DOI: 10.1007/s40620-014-0087-7] [Cited by in Crossref: 45] [Cited by in F6Publishing: 36] [Article Influence: 5.6] [Reference Citation Analysis]
16 Biljak VR, Honović L, Matica J, Krešić B, Vojak SŠ. The role of laboratory testing in detection and classification of chronic kidney disease: national recommendations. Biochem Med (Zagreb) 2017;27:153-76. [PMID: 28392738 DOI: 10.11613/BM.2017.019] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 2.4] [Reference Citation Analysis]
17 Sagou Yayo É, Aye M, Konan J, Emième A, Attoungbre M, Gnionsahé A, Cavalier É, Monnet D, Delanaye P. Inadéquation du facteur ethnique pour l’estimation du débit de filtration glomérulaire en population générale noire-africaine : résultats en Côte d’Ivoire. Néphrologie & Thérapeutique 2016;12:454-9. [DOI: 10.1016/j.nephro.2016.03.006] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
18 van der Heijden C, Roosens L, Cluckers H, Van Craenenbroeck AH, Peeters B. Analytical and clinical performance of three hand-held point-of-care creatinine analyzers for renal function measurements prior to contrast-enhanced imaging. Clinica Chimica Acta 2019;497:13-9. [DOI: 10.1016/j.cca.2019.06.025] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
19 Lovrenčić MV, Biljak VR, Blaslov K, Božičević S, Duvnjak LS. Impact of creatinine methodology on glomerular filtration rate estimation in diabetes. World J Diabetes 2017; 8(5): 222-229 [PMID: 28572883 DOI: 10.4239/wjd.v8.i5.222] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]