Evidence map›Paper›PMID 42189610›Full record

ArticleKidney3602026

Length of Follow-Up Time Needed for Stable eGFR Slope Estimation in Glomerular Disease.

Qian Liu, Allison Chen, Laura H Mariani, Andrew Janowczyk, Kyle Lafata, Jeffrey Hodgin, Laura Barisoni, Larry B Holzman, Jarcy Zee, Cure Glomerulonephropathy (CureGN) Study

Abstract read
In one paragraph

Article in Kidney360, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Qian LiuChildren's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania.ORCID 0000-0003-4180-4809
Allison ChenChildren's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania.
Laura H MarianiDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-6055-764
Andrew JanowczykDepartment of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia.
Kyle LafataDepartment of Electrical and Computer Engineering, Duke University, Durham, North Carolina.
Jeffrey HodginDepartment of Pathology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-0534-3048
Laura BarisoniDivision of AI and Computational Pathology, Department of Pathology, Duke University, Durham, North Carolina.ORCID 0000-0003-0848-9683
Larry B HolzmanRenal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-8961-234
Jarcy ZeeChildren's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania.ORCID 0000-0003-0586-1160
Cure Glomerulonephropathy (CureGN) Study

Funding

CureGNU24DK100845 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CRYSTAL A. GADEGBEKU, Laura H Mariani · 2019 to 2026
$12.1M
The Columbia PCC for CureGN: the Cure Glomerulonephropathy networkU01DK100876 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Stephen Bomback, ALI G GHARAVI · 2019 to 2026
$8.5M
CureGN-Penn PCCU01DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAWRENCE B. HOLZMAN · 2019 to 2026
$8.3M
CUREGN 3.0 - Pediatric Nephrology Consortium - PCCU01DK100866 · NIDDK · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI Laurence A Greenbaum, Jon Klein · 2019 to 2026
$7.7M
CureGN-3: UNCPCCU01DK100867 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Vimal Kumar Derebail, Ronald J Falk · 2019 to 2026
$6.7M
Computational Pathology of Proteinuric DiseasesR01DK118431 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BARISONI, LAURA MARIACHIARA, HODGIN, JEFFREY BENTON · 2018 to 2025
$3.6M
NIDDK NIH HHS 2R01DK118431NIDDK NIH HHS R01 DK118431NIDDK NIH HHS U01 DK100846NIDDK NIH HHS U01 DK100866NIDDK NIH HHS U01 DK100867NIDDK NIH HHS U01 DK100876NIDDK NIH HHS U24 DK100845
6 · The paper itself

Abstract

key pointsSeveral years of follow-up are necessary to accurately estimate long-term eGFR slopes in patients with glomerular disease. Moderately sized gaps between eGFR measurements are acceptable when estimating long-term eGFR slopes.

backgroundSlope of eGFR is an important measurement of kidney disease progression and clinical outcome in glomerular disease. However, the length of time required to reliably estimate long-term eGFR slopes is unknown. Furthermore, the impact of missing data on eGFR slope estimation is unclear.

methodsData from the Cure Glomerulonephropathy (CureGN) study were used to answer two questions. A Total Duration question compared eGFR slope estimates based on shorter intervals of follow-up (FU) with true long-term slopes using descriptive statistics, overall and within patient subgroups based on age, disease diagnosis, disease activity at study enrollment and during FU, nonlinearity of the eGFR trajectory, and eGFR measurement frequency. A Duration after Missingness question simulated missing data to examine different lengths of FU time after initial gaps between biopsy and study enrollment to compare eGFR slope estimates with true complete-data eGFR slopes, overall and within patient subgroups.

resultsFor the Total Duration question, eGFR slope estimates gradually became more accurate with longer FU, with 86% of slopes based on 3.5-4 years of FU within 5 ml/min per 1.73 m 2 per year of true long-term slopes. For the Duration after Missingness question, 84% of eGFR slopes based on over 2 years of FU were within 5 ml/min per 1.73 m 2 per year of true complete-data slopes after initial missing data gaps between 6 and 24 months. For both questions, eGFR slopes stabilized faster for adults compared with children and for those diagnosed with membranous nephropathy or IgA nephropathy compared with minimal change disease or FSGS. For the Total Duration question, participants with nonlinear trajectories required much longer time to achieve stable eGFR slopes compared with those with linear trajectories.

conclusionsSeveral years of FU are necessary to accurately estimate long-term eGFR slopes in patients with glomerular disease, but moderately sized gaps between eGFR measurements are acceptable.

Indexed as

Glomerular Filtration RateGlomerulonephritisAdultDisease ProgressionFemaleFollow-Up StudiesHumansMaleMiddle AgedTime Factorsepidemiologic methodsGFRglomerular diseases

Identifiers

PMID42189610
PMCPMC13641452

What OpenQuestion holds

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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.