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10.1093/ckj/sfw154 http://scihub22266oqcxt.onion/10.1093/ckj/sfw154 C5466090!5466090!28617483     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Kidney+J 2017 ; 10 (3): 370-4 Nephropedia Template TP {{tp|p=28617483|t=2017. Epidemiology of chronic kidney disease: think (at least) twice!|pdf=|usr=}}{{28617483}} gab.com Text Epidemiology of chronic kidney disease: think (at least) twice! JO: Clin Kidney J http://www.kidney.de/pget.php?&tw=1&pmid=28617483 #FOAvip The introduction of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines has substantially contributed to the early detection of different stages of chronic kidney disease (CKD). Several recent studies from different parts of the world mention a CKD prevalence of between 8 and 13%. There are several reasons the CKD prevalence found in a study of a particular population is clearly overestimated. The structure of the population pyramid (young or older age) of the study sample may result in high or low CKD prevalence. The absence of using an isotope dilution mass spectrometry creatinine assay can be the source of high bias in CKD prevalence. In addition, using an arbitrary single threshold of estimated glomerular filtration rate (eGFR; <60?mL/min/1.73?m2) for classifying CKD leads to a substantial ?overdiagnosis? (false positives) in the elderly (>65 years of age), particularly in those without albuminuria (or proteinuria), haematuria or hypertension. It also results in a significant ?underdiagnosis? (false negatives) in younger individuals with an eGFR >60?mL/min/1.73?m2 and below the third percentile for their age/gender category. The use of third percentile eGFR rates as a cut-off based on age/gender-specific reference values of eGFR allows the detection of these false positives and negatives. In the present article, we focus on an important and frequently omitted criterion in epidemiological studies: chronicity. Indeed, the two most important factors introducing a high number (up to 50%) of false positives are lack of confirming proteinuria and the absence of proof of chronicity of the eGFR found at first screening. There is an urgent need for quality studies of the prevalence of CKD using representative randomized samples of the population, applying the KDIGO guidelines correctly. Twit Text FOAVip Epidemiology of chronic kidney disease: think (at least) twice!????Clin Kidney J http://www.kidney.de/pget.php?&tw=1&pmid=28617483 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28617483 #FOAvip English Wikipedia <ref>{{Cite pmid|28617483}}</ref> Epidemiology of chronic kidney disease: think (at least) twice! #MMPMID28617483 Delanaye P; Glassock RJ; De Broe ME Clin Kidney J 2017[Jun]; 10 (3): 370-4 PMID28617483show ga The introduction of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines has substantially contributed to the early detection of different stages of chronic kidney disease (CKD). Several recent studies from different parts of the world mention a CKD prevalence of between 8 and 13%. There are several reasons the CKD prevalence found in a study of a particular population is clearly overestimated. The structure of the population pyramid (young or older age) of the study sample may result in high or low CKD prevalence. The absence of using an isotope dilution mass spectrometry creatinine assay can be the source of high bias in CKD prevalence. In addition, using an arbitrary single threshold of estimated glomerular filtration rate (eGFR; <60?mL/min/1.73?m2) for classifying CKD leads to a substantial ?overdiagnosis? (false positives) in the elderly (>65 years of age), particularly in those without albuminuria (or proteinuria), haematuria or hypertension. It also results in a significant ?underdiagnosis? (false negatives) in younger individuals with an eGFR >60?mL/min/1.73?m2 and below the third percentile for their age/gender category. The use of third percentile eGFR rates as a cut-off based on age/gender-specific reference values of eGFR allows the detection of these false positives and negatives. In the present article, we focus on an important and frequently omitted criterion in epidemiological studies: chronicity. Indeed, the two most important factors introducing a high number (up to 50%) of false positives are lack of confirming proteinuria and the absence of proof of chronicity of the eGFR found at first screening. There is an urgent need for quality studies of the prevalence of CKD using representative randomized samples of the population, applying the KDIGO guidelines correctly. äEpidemiology of chronic kidney disease: think (at least) twice!(epmc).pdf DeepDyve Pubget Overpricing