Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease.
about
A genome-wide association for kidney function and endocrine-related traits in the NHLBI's Framingham Heart StudyAccuracy and limitations of equations for predicting the glomerular filtration rate during follow-up of patients with non-diabetic nephropathiesOverweight, obesity, and elevated serum cystatin C levels in adults in the United StatesRisk implications of the new CKD Epidemiology Collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) StudyAssociation of cystatin C with mortality, cardiovascular events, and incident heart failure among persons with coronary heart disease: data from the Heart and Soul StudyDoes eGFR improve the diagnostic capability of S-Creatinine concentration results? A retrospective population based studyA new equation to estimate glomerular filtration ratePlasmapheresis reverses all side-effects of a cisplatin overdose--a case report and treatment recommendationCurrent Trends of Renal Impairment in Multiple MyelomaEarly detection of diabetic kidney disease: Present limitations and future perspectivesA brief overview of preeclampsiaBiomarkers in chronic kidney disease, from kidney function to kidney damageBlood lead level and measured glomerular filtration rate in children with chronic kidney diseaseBlood cadmium and lead and chronic kidney disease in US adults: a joint analysisLong-term differential changes in mouse intestinal metabolomics after γ and heavy ion radiation exposureThe costs and benefits of automatic estimated glomerular filtration rate reporting.Large kidneys predict poor renal outcome in subjects with diabetes and chronic kidney disease.Fetuin-A and kidney function in persons with coronary artery disease--data from the Heart and Soul Study.Kidney function and systolic blood pressure new insights from cystatin C: data from the Heart and Soul StudyAlbumin testing in urine using a smart-phone.Rapid evaluation of human biomonitoring data using pattern recognition systems.Dropout in a longitudinal, cohort study of urologic disease in community men.Chronic renal failure in kidney transplant recipients. Do they receive optimum care?: data from the UK renal registry.Association of kidney function with inflammatory and procoagulant markers in a diverse cohort: a cross-sectional analysis from the Multi-Ethnic Study of Atherosclerosis (MESA).Evaluation of the Modified Diet in Renal Disease equation for calculation of carboplatin dose.Age-related associations of hypertension and diabetes mellitus with chronic kidney disease.Cardiac-surgery associated acute kidney injury requiring renal replacement therapy. A Spanish retrospective case-cohort studyNon-invasive estimation of glomerular filtration rate (GFR). The Lund model: Simultaneous use of cystatin C- and creatinine-based GFR-prediction equations, clinical data and an internal quality checkHealth and disease in 85 year olds: baseline findings from the Newcastle 85+ cohort study.Association of chronic kidney disease with the spectrum of ankle brachial index the CHS (Cardiovascular Health Study).A study of renal outcomes in African American living kidney donors.Renal failure--measuring the glomerular filtration rate.Bortezomib in late antibody-mediated kidney transplant rejection (BORTEJECT Study): study protocol for a randomized controlled trialScreening for chronic kidney disease in HIV-infected patients.Dietary fructose inhibits intestinal calcium absorption and induces vitamin D insufficiency in CKD.Risk factors for acute kidney injury following orthotopic liver transplantation: the impact of changes in renal function while patients await transplantationModification of diet in renal disease (MDRD) study and CKD epidemiology collaboration (CKD-EPI) equations for Taiwanese adults.Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions.A simple algorithm to predict incident kidney disease.Kidney function and tobacco smoke exposure in US adolescents
P2860
Q21261435-878A12F6-5B51-430C-8CDC-E0E78931A3BDQ21558546-E27C891C-F240-41EA-AC3A-3CA406116C94Q24607254-148DB03D-FD45-4124-AFF1-3D65B33D6D55Q24633404-1C2B2E90-7F0D-426F-B090-0AF6FFB4C505Q24646339-37ACEBE1-9E31-43E6-8599-D054113332ACQ24649803-BA08E1F9-EC5F-47FF-B5B6-5689617CC008Q24651973-044D9C35-A967-4165-926E-E00E7D1C3667Q25257460-6E1F5B62-BAF4-4293-A21D-12A354CC0587Q26740444-23E36D9C-A970-4283-B759-118AA27149D1Q26741494-E7A689C0-DF13-4F66-90CE-34C983A85E26Q27003730-F782AE8C-AF62-402F-BA3A-38EA15F9CF8CQ28087304-C90485C7-F084-4AF7-B54F-2EF0EF53E3FAQ28386914-0E17DBFE-B4A3-4E17-A907-0BF570C33D08Q28392186-2F633A65-886F-4940-87E3-21B454CC6F60Q28539199-78C593E3-731F-42A7-B8A2-2D5E85498D78Q30437160-9164804A-800C-43B0-9E48-E24497C9F2AAQ30978708-60D125A7-DBCC-4B8D-9215-837044FB364EQ31038421-E16CF074-E32E-4087-8AEB-136C30ED1D93Q31058094-60B59123-6942-4C57-AF33-63EAA867609DQ31135622-44D9E9BD-217C-4526-BA6E-04FCF498ED1FQ31159951-EA9502EE-D6A4-487C-A857-B797E52004C7Q33266615-2F2FC36F-EC74-4F6E-915D-9080BF9810A6Q33278120-53C8280F-974F-4553-A507-A3F0816CFB0BQ33357921-BF5942E1-0906-4B4E-88A4-B929142758AEQ33383126-10CDFE46-0A39-4488-B7BB-891D0B6A1A2FQ33475999-52B46BAD-AFC3-4E35-87BC-562ED8A71D73Q33505831-E3C2F7CD-E735-4703-B8D9-BF3EBEA552B4Q33532754-17A41F4F-46F7-4EF6-AB95-84E35AFB1D71Q33552946-F158B9A1-7477-4D25-B5F4-070E6468D62CQ33562005-2DD8C097-5A19-4A51-B3DB-82E24B42E03CQ33572400-1D827BBD-86EC-416F-9958-65FF35238079Q33579152-3533CEC0-F326-4DFA-B569-3B4CA3EE46BDQ33584895-A1B2AAC9-74CB-425A-B154-D5EECD43F130Q33639802-E94DEB91-8FE7-4DC5-86EC-7626FD8DC41AQ33711294-5D40C72E-11C5-4871-9FB7-4B2BC7A883BDQ33741189-15EC10F2-F0F4-4D85-A7DF-FC12CF1E347DQ33753764-EE16A3A5-8FB1-4190-87D7-64B0D3FF455CQ33756494-44F1896B-6D12-473F-9F72-80A1840A729DQ33771352-FBF4E7B0-674A-4749-A643-7D9C4FD230FFQ33819740-858D1E2C-85CE-4A3F-BBEF-F1C9D89D853C
P2860
Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease.
description
2004 nî lūn-bûn
@nan
2004 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Using serum creatinine to esti ...... and in chronic kidney disease.
@ast
Using serum creatinine to esti ...... and in chronic kidney disease.
@en
Using serum creatinine to esti ...... and in chronic kidney disease.
@nl
type
label
Using serum creatinine to esti ...... and in chronic kidney disease.
@ast
Using serum creatinine to esti ...... and in chronic kidney disease.
@en
Using serum creatinine to esti ...... and in chronic kidney disease.
@nl
prefLabel
Using serum creatinine to esti ...... and in chronic kidney disease.
@ast
Using serum creatinine to esti ...... and in chronic kidney disease.
@en
Using serum creatinine to esti ...... and in chronic kidney disease.
@nl
P2093
P1476
Using serum creatinine to esti ...... and in chronic kidney disease.
@en
P2093
Andrew D Rule
Erik J Bergstralh
Fernando G Cosio
Jeff M Slezak
Timothy S Larson
P304
P356
10.7326/0003-4819-141-12-200412210-00009
P407
P577
2004-12-01T00:00:00Z