Evidence map›Paper›PMID 40510610›Full record

ArticleKidney medicine2025

Variations in Creatinine Generation Among Patients With Glomerular Disease: Evidence From the NEPTUNE and CureGN Studies.

Shalini S Ramachandra, Melody Chiang, Michael Arbit, Dorey A Glenn, Laura H Mariani, Jarcy Zee

Abstract read
In one paragraph

Article in Kidney medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Shalini S RamachandraDivision of Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Melody ChiangDivison of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Michael ArbitDivison of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Dorey A GlennUNC Kidney Center, University of North Carolina Chapel Hill, Durham, NC.
Laura H MarianiDivison of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Jarcy ZeeDivision of Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Funding

CureGNU24DK100845 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CRYSTAL A. GADEGBEKU, Laura H Mariani · 2019 to 2026
$12.1M
CureGN-Penn PCCU01DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAWRENCE B. HOLZMAN · 2019 to 2026
$8.3M
NIDDK NIH HHS U01 DK100846NIDDK NIH HHS U24 DK100845
6 · The paper itself

Abstract

Rationale & Objective: Estimation of glomerular filtration rate (GFR) assumes that creatinine generation (crG) is relatively stable. This study identified factors associated with crG variability and its impact on serum creatinine changes ( Study Design: An observational cohort study. Setting & Participants: Nephrotic Syndrome Study Network and Cure Glomerulonephropathy adult and pediatric participants with at least one crG measurement. Predictors: Potential predictors of crG levels included age, sex, disease diagnosis, weight status, estimated GFR (eGFR), urine protein, steroid use, and nonsteroid immunosuppressant use. crG change ( Outcomes: crG levels and Analytical Approach: The intraclass correlation coefficient illustrated crG variability within individuals. Multivariable linear mixed models identified factors associated with crG levels. Among those with 2+ crG measurements, multivariable linear mixed models estimated the association between Results: Among 4,626 crG measurements from 1,081 participants, there was only moderate correlation between measurements within individuals (intraclass correlation coefficient = 0.517, 95% CI, 0.482-0.548) overall. For pediatric participants, factors significantly associated with crG included age, sex, weight status, and urine protein. Among adults, significant factors were age, sex, disease diagnosis, weight status, eGFR, steroid use, and nonsteroid immunosuppressant use. Limitations: The 24-hour urine collections may have collection error, measured GFR was unavailable, and edema status was unavailable. Conclusions: crG was highly dynamic within individuals over time and varied with glomerular disease activity and treatments. The impact of

Indexed as

creatinine excretioncreatinine generationcreatinine productionGFRGlomerular diseaseserum creatininesteroid useurine protein

Identifiers

PMID40510610
PMCPMC12152656

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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.