Evidence map›Paper›PMID 24703720›Full record

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

Performance of creatinine-based GFR estimating equations in solid-organ transplant recipients.

Kamran Shaffi, Katrin Uhlig, Ronald D Perrone, Robin Ruthazer, Andrew Rule, John C Lieske, Gerjan Navis, Emilio D Poggio, Lesley A Inker, Andrew S Levey

Open access · greenAbstract read
In one paragraph

Article 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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
11.3field-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

41 citing papers in PubMed, 123 citations in OpenAlex.

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  9. 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
  10. GFR estimated with creatinine rather than cystatin C is more reflective of the true risk of adverse outcomes with low GFR in kidney transplant recipients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  11. Article
  12. Review
  13. Kidney disease in non-kidney solid organ transplantation.World journal of transplantation · 2022
    Review
  14. Association of donor hepatitis C virus infection status and risk of BK polyomavirus viremia after kidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  15. Remnant cholesterol is prospectively associated with cardiovascular disease events and all-cause mortality in kidney transplant recipients: the FAVORIT study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Kamran ShaffiDivision of Nephrology, Department of Medicine, University of New Mexico, Albuquerque, NM.
Katrin UhligWilliam B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Ronald D PerroneWilliam B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Robin RuthazerResearch Design Center/Biostatistics Research Center, Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA.
Andrew RuleDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN.
John C LieskeDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN.
Gerjan NavisDivision of Nephrology, Department of Medicine, University Medical Center Groningen, Groningen, the Netherlands.
Emilio D PoggioDepartment of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH.
Lesley A InkerWilliam B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Andrew S LeveyWilliam B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA. Electronic address: alevey@tuftsmedicalcenter.org.
Tufts Medical Center · USMayo Clinic · USCleveland Clinic · USTufts University · USUniversity Medical Center Groningen · NLUniversity of New Mexico · US

Funding

Tufts Clinical and Translation Science Institute (UL1)UL1TR000073 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2012 to 2013
$5.5M
Epidemiology, Clinical Trials and Outcomes Research In NephrologyT32DK007777 · NIDDK · TUFTS MEDICAL CENTER · PI SARNAK, MARK J · 1999 to 2020
$4.1M
Chronic Renal Disease-Individual Patient Meta AnalysisU01DK053869 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2005 to 2007
$2.5M
NCATS NIH HHS UL1 TR000073NIDDK NIH HHS T32 DK007777NIDDK NIH HHS U01 DK053869
6 · The paper itself

Abstract

backgroundAccurate assessment of kidney function is important for the management of solid-organ transplant recipients. In other clinical populations, glomerular filtration rate (GFR) most commonly is estimated using the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine or the 4-variable MDRD (Modification of Diet in Renal Disease) Study equation. The accuracy of these equations compared with other GFR estimating equations in transplant recipients has not been carefully studied. STUDY

designDiagnostic test study. SETTING &

participantsSolid-organ transplant recipients longer than 6 months posttransplantation from 5 clinical populations (N=3,622, including recipients of kidney [53%], liver [35%], and other or multiple organs [12%]). INDEX TEST: Estimated GFR (eGFR) using creatinine-based GFR estimating equations identified from a systematic review of the literature. Performance of the CKD-EPI creatinine and the MDRD Study equations was compared with alternative equations. REFERENCE TEST: Measured GFR (mGFR) from urinary clearance of iothalamate or plasma clearance of iohexol. MEASUREMENTS: Error (difference between mGFR and eGFR) expressed as P30 (proportion of absolute percent error <30%) and mean absolute error.

resultsWe identified 26 GFR estimating equations. Mean mGFR was 55.1±22.7 (SD) mL/min/1.73 m(2). P30 and mean absolute error for the CKD-EPI and the MDRD Study equations were 78.9% (99.6% CI, 76.9%-80.8%) for both and 10.6 (99.6% CI, 10.1-11.1) versus 11.0 (99.6% CI, 10.5-11.5) mL/min/1.73 m(2), respectively; these equations were more accurate than any of the alternative equations (P <0.001 for all pairwise comparisons for both measures). They performed better than or as well as the alternative equations in most subgroups defined by demographic and clinical characteristics, including type of transplanted organ. LIMITATIONS: Study population included few nonwhites and people with solid-organ transplants other than liver and kidneys.

conclusionsThe CKD-EPI creatinine and the MDRD Study equations perform better than the alternative creatinine-based estimating equations in solid-organ transplant recipients. They can be used for clinical management.

Indexed as

Organ TransplantationAdultAgedCreatinineFemaleGlomerular Filtration RateHumansKidney DiseasesKidney Function TestsLiver DiseasesMaleMiddle AgedReproducibility of ResultsCreatininecreatinine-based estimated glomerular filtration rate (eGFR) equationGlomerular filtration rate (GFR) estimationkidney transplantationrenal functionsolid-organ transplant recipient

Identifiers

PMID24703720
PMCPMC4113340
OpenAlexW2169634314

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Registered trials

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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.