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Estimating glomerular filtration rate

is it good enough? And is it time to move on?
Authors: Daniel P, Murphy; Chi-yuan, Hsu;

Estimating glomerular filtration rate

Abstract

The aim is to examine a dominant narrative in nephrology over the past decade: that measured glomerular filtration rate (GFR) is the gold standard measure of kidney function; accurate assessment of GFR is critical and paramount; and further efforts to refine GFR estimation should continue.Studies that have simultaneously compared measured GFR and estimated GFR (using endogenous filtration markers such as creatinine, or newer ones such as cystatin C or β-trace protein) against some external metric of kidney function have failed to show that measured GFR is consistently superior, which is what one would expect if measured GFR were truly the 'gold standard.'Compared with estimated GFR, measured GFR does not consistently predict renal-related outcomes better. Clinical decision-making almost never requires precise and accurate knowledge of a patient's static GFR value. Efforts at perfecting cross-sectional estimates of GFR may have reached a point of diminishing returns.

Related Organizations
Keywords

Predictive Value of Tests, Humans, Reproducibility of Results, Kidney Diseases, Kidney, Prognosis, Models, Biological, Biomarkers, Glomerular Filtration Rate

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
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