Evidence map›Paper›PMID 24485147›Full record

ReviewAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2014

GFR estimation: from physiology to public health.

Andrew S Levey, Lesley A Inker, Josef Coresh

Open access · greenAbstract readReview
In one paragraph

Review in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 294 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
294citing papers in PubMed, 2 pooled it
23.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

294 citing papers in PubMed, 2 syntheses or guidelines pooled it, 612 citations in OpenAlex.

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  13. A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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234 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Andrew S LeveyWilliam B. Schwartz Division of Nephrology, Tufts Medical Center, Department of Medicine, Tufts University School of Medicine, Boston, MA. Electronic address: alevey@tuftsmedicalcenter.org.
Lesley A InkerWilliam B. Schwartz Division of Nephrology, Tufts Medical Center, Department of Medicine, Tufts University School of Medicine, Boston, MA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD.
Tufts Medical Center · USJohns Hopkins University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Chronic Renal Disease-Individual Patient Meta AnalysisU01DK053869 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2005 to 2007
$2.5M
Estimating GFR from a Panel of Endogenous Filtration Markers (Panel eGFR)R01DK097020 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2012 to 2014
$1.9M
CHRONIC RENAL DISEASE--INDIVIDUAL PATIENT META ANALYSISR01DK053869 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 1999 to 2004
$1.6M
Refining Estimates of Kidney Function in the U.S.U01DK067651 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2005 to 2007
$377k
Refining Estimates of Kidney Function in the U.S.R21DK067651 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2004 to 2004
$130k
NCATS NIH HHS UL1 TR001079NIDDK NIH HHS R01 DK053869NIDDK NIH HHS R01 DK088890NIDDK NIH HHS R01 DK097020NIDDK NIH HHS R21 DK067651NIDDK NIH HHS R21 DK67651NIDDK NIH HHS U01 DK 053869NIDDK NIH HHS U01 DK053869NIDDK NIH HHS U01 DK 067651NIDDK NIH HHS U01 DK067651
6 · The paper itself

Abstract

Estimating glomerular filtration rate (GFR) is essential for clinical practice, research, and public health. Appropriate interpretation of estimated GFR (eGFR) requires understanding the principles of physiology, laboratory medicine, epidemiology, and biostatistics used in the development and validation of GFR estimating equations. Equations developed in diverse populations are less biased at higher GFRs than equations developed in chronic kidney disease (CKD) populations and are more appropriate for general use. Equations that include multiple endogenous filtration markers are more precise than equations including a single filtration marker. The CKD-EPI (CKD Epidemiology Collaboration) equations are the most accurate GFR estimating equations that have been evaluated in large diverse populations and are applicable for general clinical use. The 2009 CKD-EPI creatinine equation is more accurate in estimating GFR and prognosis than the 2006 MDRD (Modification of Diet in Renal Disease) Study equation and provides lower estimates of prevalence of decreased eGFR. It is useful as a "first test" for decreased eGFR and should replace the MDRD Study equation for routine reporting of serum creatinine-based eGFR by clinical laboratories. The 2012 CKD-EPI cystatin C equation is as accurate as the 2009 CKD-EPI creatinine equation in estimating GFR, does not require specification of race, and may be more accurate in patients with decreased muscle mass. The 2012 CKD-EPI creatinine-cystatin C equation is more accurate than the 2009 CKD-EPI creatinine and 2012 CKD-EPI cystatin C equations and is useful as a confirmatory test for decreased eGFR as determined by serum creatinine-based eGFR. Further improvement in GFR estimating equations will require development in more broadly representative populations, including diverse racial and ethnic groups, use of multiple filtration markers, and evaluation using statistical techniques to compare eGFR to "true GFR."

Indexed as

Public HealthGlobal HealthGlomerular Filtration RateHumansKidney Function TestsMathematicsPrevalencePrognosisRenal Insufficiency, Chronicchronic kidney diseaseEstimated glomerular filtration rate (eGFR)filtration markerGFR estimating equationkidney functionpublic healthrenal insufficiency

Identifiers

PMID24485147
PMCPMC4001724
OpenAlexW2031017520

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.