Evidence map›Paper›PMID 21737852›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2011

Relative performance of the MDRD and CKD-EPI equations for estimating glomerular filtration rate among patients with varied clinical presentations.

Kazunori Murata, Nikola A Baumann, Amy K Saenger, Timothy S Larson, Andrew D Rule, John C Lieske

Open access · greenAbstract readComparative Study
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Pooled it
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  12. Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
  13. Do We Need a New Creatinine-Based Estimated GFR Equation for Kidney Transplant Recipients?American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  14. Estimating glomerular filtration rate with new equations: can one size ever fit all?Critical reviews in clinical laboratory sciences · 2023
    Review
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Kazunori MurataMayo Clinic Division of Nephrology and Hypertension, 200 First Street SW, Rochester, MN 55905, USA.
Nikola A Baumann
Amy K Saenger
Timothy S Larson
Andrew D Rule
John C Lieske
Hypertension Institute · USMayo Clinic · US

Funding

VISUALIZATION AND PATHOPHYSIOLOGY OF RENAL STONE PRECURSOR LESIONSU54DK100227 · NIDDK · MAYO CLINIC ROCHESTER · PI BERGSTRALH, ERIC J. · 2013 to 2017
$6.3M
Comparison of kidney function measurement methods in the communityK23DK078229 · NIDDK · MAYO CLINIC ROCHESTER · PI RULE, ANDREW DAVID · 2007 to 2011
$742k
NIDDK NIH HHS K23 DK078229NIDDK NIH HHS U54 DK100227
6 · The paper itself

Abstract

backgroundThe Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed using both CKD and non-CKD patients to potentially replace the Modification of Diet in Renal Disease (MDRD) equation that was derived with only CKD patients. The objective of our study was to compare the accuracy of the MDRD and CKD-EPI equations for estimating GFR in a large group of patients having GFR measurements for diverse clinical indications. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: A cross-sectional study was conducted of patients who underwent renal function assessment for clinical purposes by simultaneous measurements of serum creatinine and estimation of GFR using the MDRD and CKD-EPI equations and renal clearance of iothalamate (n = 5238).

resultsBias compared with measured GFR (mGFR) varied for each equation depending on clinical presentation. The CKD-EPI equation demonstrated less bias than the MDRD equation in potential kidney donors (-8% versus -18%) and postnephrectomy donors (-7% versus -15%). However, the CKD-EPI equation was slightly more biased than the MDRD equation in native CKD patients (6% versus 3%), kidney recipients (8% versus 1%), and other organ recipients (9% versus 3%). Among potential kidney donors, the CKD-EPI equation had higher specificity than the MDRD equation for detecting an mGFR <60 ml/min per 1.73 m(2) (98% versus 94%) but lower sensitivity (50% versus 70%).

conclusionsClinical presentation influences the estimation of GFR from serum creatinine, and neither the CKD-EPI nor MDRD equation account for this. Use of the CKD-EPI equation misclassifies fewer low-risk patients as having reduced mGFR, although it is also less sensitive for detecting mGFR below specific threshold values used to define CKD stages.

Indexed as

Glomerular Filtration RateModels, BiologicalAdultAgedAge FactorsBiomarkersContrast MediaCreatinineCross-Sectional StudiesDiagnostic ErrorsFemaleHumansIothalamic AcidKidneyKidney DiseasesLeast-Squares AnalysisBiomarkersContrast MediaCreatinineIothalamic Acid

Identifiers

PMID21737852
PMCPMC3156428
OpenAlexW2100164846

What OpenQuestion holds

Textmetadata
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.