{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:26:16Z","timestamp":1757312776302,"version":"3.41.2"},"reference-count":28,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,2,27]],"date-time":"2018-02-27T00:00:00Z","timestamp":1519689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Glomerular filtration rate (<jats:styled-content style=\"fixed-case\">GFR<\/jats:styled-content>) is the best marker used to assess renal function. Estimated <jats:styled-content style=\"fixed-case\">GFR<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>) equations have been developed, and the ideal formula is still under discussion. We wanted to find the most practical and reliable <jats:styled-content style=\"fixed-case\">GFR<\/jats:styled-content> in <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content> formulas. We compared serum creatinine (Scr)\u2010 and cystatin C (cysC)\u2010based <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content> formulas in the literature. We also aimed to determine the suitability and the reliability of cysC for practical use in determining <jats:styled-content style=\"fixed-case\">GFR<\/jats:styled-content> in children.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We have enrolled 238 children in the study. Measurement of 24\u2010hour creatinine clearance was compared with <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content> equations which are based on Scr, cysC, and creatinine plus cysC.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the patients (n\u00a0=\u00a0238), 117 were males (49.2%), and 121 (50.8%) were females with a median age of 9.0\u00a0years. The areas under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curves of Counahan\u2010Barratt and Bedside Schwartz were equal and 0.89 (with a 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.80\u20100.97). The areas under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curves were not significantly different in all cystatin C\u2010based <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content> equations. The highest <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content> values for differentiating normal vs abnormal renal functions according to CrCl<jats:sub>24<\/jats:sub> were for the <jats:styled-content style=\"fixed-case\">CK<\/jats:styled-content>iD\u2010cysC and <jats:styled-content style=\"fixed-case\">CK<\/jats:styled-content>iD\u2010Scr\u2010cysC equations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>In our study, compared with creatinine\u2010based ones, the cystatin C\u2010based formulas did not show much superiority in predicting <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>. Still, we think Bedside Schwartz is a good formula to provide ease of use because, in this equation, the constant <jats:italic>k<\/jats:italic> is same for all age groups. However, the most valuable equations in determining chronic kidney disease are the <jats:styled-content style=\"fixed-case\">CK<\/jats:styled-content>iD\u2010cysC and <jats:styled-content style=\"fixed-case\">CK<\/jats:styled-content>iD\u2010Scr\u2010cysC equations.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.22413","type":"journal-article","created":{"date-parts":[[2018,2,27]],"date-time":"2018-02-27T07:18:45Z","timestamp":1519715925000},"source":"Crossref","is-referenced-by-count":8,"title":["Comparing different estimated glomerular filtration rate equations in assessing glomerular function in children based on creatinine and cystatin C"],"prefix":"10.1002","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9189-0480","authenticated-orcid":false,"given":"Se\u00e7il","family":"Conkar","sequence":"first","affiliation":[{"name":"Faculty of Medicine Department of Pediatric Nephrology Ege University  Izmir Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sevgi","family":"Mir","sequence":"additional","affiliation":[{"name":"Faculty of Medicine Department of Pediatric Nephrology Ege University  Izmir Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatma Nur","family":"Karaslan","sequence":"additional","affiliation":[{"name":"Faculty of Medicine Fatma Nur \u015eirin Ege University  Izmir Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00fclden","family":"Hakverdi","sequence":"additional","affiliation":[{"name":"Faculty of Medicine Department of Biostatistics and Medical Informatics G\u00fclden Hakverdi Ege University  Izmir Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,2,27]]},"reference":[{"key":"e_1_2_6_2_1","first-page":"S1","article-title":"K\/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification","volume":"39","author":"N.K. Foundation","year":"2002","journal-title":"Am J Kidney Dis"},{"key":"e_1_2_6_3_1","first-page":"75","article-title":"Methods of estimating GFR\u2010different equations including CKD\u2010EPI","volume":"32","author":"Florkowski CM","year":"2011","journal-title":"Clin Biochem Rev"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra054415"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.04180510"},{"key":"e_1_2_6_6_1","first-page":"45","volume-title":"Clinical Pediatric Nephrology","author":"Schwartza GJ","year":"2006"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3955(16)36251-4"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2008030287"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1136\/adc.51.11.875"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2005010034"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/ki.2012.388"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/00365510801915163"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfg349"},{"key":"e_1_2_6_14_1","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1093\/clinchem\/46.8.1206","article-title":"Plasma cystatin C is superior to 24\u2010h creatinine clearance and plasma creatinine for estimation of glomerular filtration rate 3\u00a0months after kidney transplantation","volume":"46","author":"Bricon TL","year":"2000","journal-title":"Clin Chem"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/00365510410003723"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ki.5000073"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-139x.2001.00014.x"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2006.04.085"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/ki.2012.169"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2014.04.010"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1097\/MNH.0b013e3282fb77f2"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.01640309"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/00365519950185076"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2005050512"},{"key":"e_1_2_6_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00467-016-3373-x"},{"key":"e_1_2_6_26_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2012.09.010"},{"key":"e_1_2_6_27_1","doi-asserted-by":"publisher","DOI":"10.1093\/clinchem\/39.4.561"},{"key":"e_1_2_6_28_1","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.10161110"},{"key":"e_1_2_6_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10157-016-1273-9"}],"container-title":["Journal of Clinical Laboratory Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fjcla.22413","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jcla.22413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T11:54:55Z","timestamp":1695038095000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jcla.22413"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,27]]},"references-count":28,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,7]]}},"alternative-id":["10.1002\/jcla.22413"],"URL":"https:\/\/doi.org\/10.1002\/jcla.22413","archive":["Portico"],"relation":{},"ISSN":["0887-8013","1098-2825"],"issn-type":[{"type":"print","value":"0887-8013"},{"type":"electronic","value":"1098-2825"}],"subject":[],"published":{"date-parts":[[2018,2,27]]},"article-number":"e22413"}}