Evidence map›Paper›PMID 34162048›Full record

ArticleKidney research and clinical practice2021

Effect of estimating equations for glomerular filtration rate on novel surrogate markers for renal outcome.

Kipyo Kim, Eunji Baek, Suryeong Go, Hyung-Eun Son, Ji-Young Ryu, Yongjin Yi, Jong Cheol Jeong, Sejoong Kim, Ho Jun Chin

Abstract read
In one paragraph

Article in Kidney research and clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Kipyo KimDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea.
Eunji BaekDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Suryeong GoDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyung-Eun SonDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ji-Young RyuDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Yongjin YiDivision of Nephrology, Department of Internal Medicine, Dankook University Hospital, Dankook University College of Medicine, Cheonan, Republic of Korea.
Jong Cheol JeongDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sejoong KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ho Jun ChinDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsRecently, alternative surrogate endpoints such as a 30% or 40% decline in estimated glomerular filtration rate (eGFR) or eGFR slope over 2 to 3 years have been proposed for predicting renal outcomes. However, the impact of GFR estimation methods on the accuracy and effectiveness of surrogate markers is unknown.

methodsWe retrospectively enrolled participants in health screening programs at three hospitals from 1995 to 2009. We defined two different participant groups as YR1 and YR3, which had available 1-year or 3-year eGFR values along with their baseline eGFR levels. We compared the effectiveness of eGFR percentage change or slope to estimate end-stage renal disease (ESRD) risk according to two estimating equations (modified Modification of Diet in Renal Disease equation [eGFRm] and Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation [eGFRc]) for GFR.

resultsIn the YR1 and YR3 groups, 9,971 and 10,171 candidates were enrolled and ESRD incidence during follow-up was 0.26% and 0.19%, respectively. The eGFR percentage change was more effective than eGFR slope in estimating ESRD risk, regardless of the method of estimation. A 40% of decline in eGFR was better than 30%, and a 3-year baseline period was better than a 1-year period for prediction accuracy. Although some diagnostic indices from the CKD-EPI equation were better, we found no significant differences in the discriminative ability and hazard ratios for incident ESRD between eGFRc and eGFRm in either eGFR percentage change or eGFR slope.

conclusionThere were no significant differences in the prediction accuracy of GFR percentage change or eGFR slope between eGFRc and eGFRm in the general population.

Indexed as

Chronic kidney diseaseEnd-stage renal diseaseGlomerular filtration rateRenal endpointSurrogate endpoint

Identifiers

PMID34162048
PMCPMC8237122

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