estimation of the prevalence of chronic kidney disease: the results of a model based estimation in kerman, iran
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abstract
background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method. methods: using multiplier method, we estimated the numbers of different stages of ckd based on the number of patients with end stage renal failure from 2006 to 2016. the required multipliers were extracted from a simulation of the disease in kerman following a dynamic model. the 95% uncertainty interval was computed using monte-carlo technique with 10,000 iterations. results: the prevalence of ckda (gfr
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Estimation of the prevalence of chronic kidney disease: The results of a model based estimation in Kerman, Iran
Background: Chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. Therefore, the aim of this study was to estimate the prevalence and trends of CKD according to a new estimation method. Methods: Using multiplier method, we est...
full textEstimation of the prevalence of chronic kidney disease: The results of a model based estimation in Kerman, Iran
BACKGROUND Chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. Therefore, the aim of this study was to estimate the prevalence and trends of CKD according to a new estimation method. METHODS Using multiplier method, we estimated the...
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Journal title:
medical journal of islamic republic of iranجلد ۳۰، شماره ۱، صفحات ۲۳۸-۲۴۵
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