Risk models to predict chronic kidney disease and its progression: a systematic review.
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External validation of multivariable prediction models: a systematic review of methodological conduct and reportingPolymorphisms in PPAR Genes (PPARD, PPARG, and PPARGC1A) and the Risk of Chronic Kidney Disease in Japanese: Cross-Sectional Data from the J-MICC StudyIncorporating temporal EHR data in predictive models for risk stratification of renal function deterioration.Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.Toward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its ComplicationsUsing benefit-based tailored treatment to improve the use of antihypertensive medications.Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings.Screening for chronic kidney disease: preventing harm or harming the healthy?Presence of early CKD-related metabolic complications predict progression of stage 3 CKD: a case-controlled studyLearning lessons from operational research in infectious diseases: can the same model be used for noncommunicable diseases in developing countries?NT-proBNP linking low-moderately impaired renal function and cardiovascular mortality in diabetic patients: the population-based Casale Monferrato Study.Body mass index and metabolic factors predict glomerular filtration rate and albuminuria over 20 years in a high-risk populationResults from the Atherosclerosis Risk in Communities study suggest that low serum magnesium is associated with incident kidney diseaseValidation of two prediction models of undiagnosed chronic kidney disease in mixed-ancestry South Africans.Risk Prediction for Early CKD in Type 2 Diabetes.An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature.Frailty and comorbidity are independent predictors of outcome in patients referred for pre-dialysis educationMethodological issues in current practice may lead to bias in the development of biomarker combinations for predicting acute kidney injury.Epigenetic markers of renal function in african americans.Prediction of presence of kidney disease in patients undergoing intravenous iodinated contrast enhanced computed tomography: a validation study.Effect of long-term glycemic variability on estimated glomerular filtration rate decline among patients with type 2 diabetes mellitus: Insights from the Diabetic Nephropathy Cohort in Singapore.Looking to the future: predicting renal replacement outcomes in a large community cohort with chronic kidney disease.A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.Con: Most clinical risk scores are useless.Predictive modeling using a nationally representative database to identify patients at risk of developing microalbuminuria.Primacy of lowered baseline glomerular filtration rate as a risk for incident chronic kidney disease: A longitudinal study in Japanese subjects.Development and validation of a risk prediction model for end-stage renal disease in patients with type 2 diabetes.Chronic kidney disease in low-income to middle-income countries: the case for increased screeningStructural and Functional Changes in Human Kidneys with Healthy Aging.Risk score for first-screening of prevalent undiagnosed chronic kidney disease in Peru: the CRONICAS-CKD risk score.Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease.Long-term outcomes of patients with type 2 diabetes attending a multidisciplinary diabetes kidney disease clinic.External Validation of a Tool Predicting 7-Year Risk of Developing Cardiovascular Disease, Type 2 Diabetes or Chronic Kidney Disease.The Landscape of Diabetic Kidney Disease in the United States.On the rationale of population screening for chronic kidney disease: a public health perspective.Perceived Benefits and Challenges of a Risk-Based Approach to Multidisciplinary Chronic Kidney Disease Care: A Qualitative Descriptive Study.Contemporary rates and predictors of fast progression of chronic kidney disease in adults with and without diabetes mellitus.Predictors of a Rapid Decline of Renal Function in Patients with Chronic Kidney Disease Referred to a Nephrology Outpatient Clinic: A Longitudinal Study
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P2860
Risk models to predict chronic kidney disease and its progression: a systematic review.
description
2012 nî lūn-bûn
@nan
2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Risk models to predict chronic kidney disease and its progression: a systematic review.
@ast
Risk models to predict chronic kidney disease and its progression: a systematic review.
@en
Risk models to predict chronic kidney disease and its progression: a systematic review.
@nl
type
label
Risk models to predict chronic kidney disease and its progression: a systematic review.
@ast
Risk models to predict chronic kidney disease and its progression: a systematic review.
@en
Risk models to predict chronic kidney disease and its progression: a systematic review.
@nl
prefLabel
Risk models to predict chronic kidney disease and its progression: a systematic review.
@ast
Risk models to predict chronic kidney disease and its progression: a systematic review.
@en
Risk models to predict chronic kidney disease and its progression: a systematic review.
@nl
P2860
P921
P1433
P1476
Risk models to predict chronic kidney disease and its progression: a systematic review
@en
P2093
Justin B Echouffo-Tcheugui
P2860
P304
P356
10.1371/JOURNAL.PMED.1001344
P407
P5008
P577
2012-11-20T00:00:00Z