Evidence map›Paper›PMID 40373998›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2025

Complex Etiologies of the Discordance Between Cystatin C- and Creatinine-Based Estimated GFR and Its Adverse Associations: Findings From the CRIC Study.

Ian E McCoy, Jingrong Yang, Alan S Go, Hernan Rincon-Choles, Jonathan Taliercio, Sylvia E Rosas, Mark Unruh, Vallabh Shah, Debbie L Cohen, Jiang He and 7 more

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
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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

17 authors.

Ian E McCoyDivision of Nephrology, University of California-San Francisco, San Francisco, California. Electronic address: ian.mccoy@ucsf.edu.
Jingrong YangDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Hernan Rincon-CholesDepartment of Kidney Medicine, Cleveland Clinic Foundation, Cleveland, Ohio.
Jonathan TaliercioDepartment of Kidney Medicine, Cleveland Clinic Foundation, Cleveland, Ohio.
Sylvia E RosasKidney and Hypertension Unit, Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts.
Mark UnruhDivision of Nephrology, Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, New Mexico.
Vallabh ShahDivision of Nephrology, Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, New Mexico.
Debbie L CohenDivision of Nephrology, University of Pennsylvania, Philadelphia, Pennsylvania.
Jiang HeDepartment of Epidemiology, O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, Texas.
Jing ChenDepartment of Epidemiology, O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, Texas; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas.
James SondheimerDivision of Nephrology and Hypertension, School of Medicine, Wayne State University, Detroit, Michigan.
Afshin ParsaDivision of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, Maryland.
Wei YangDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
Panduranga S RaoDivision of Nephrology, University of Michigan, Ann Arbor, Michigan.
Chi-Yuan HsuDivision of Nephrology, University of California-San Francisco, San Francisco, California; Division of Research, Kaiser Permanente Northern California, Oakland, California.
Chronic Renal Insufficiency Cohort (CRIC) Study Investigators

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI OSWALD, LYNN M · 2002 to 2009
$20.2M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS K23 DK128605NIDDK NIH HHS K24 DK092291NIDDK NIH HHS R01 DK119199NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U24 DK060990NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

RATIONALE &

objectiveThe difference between glomerular filtration rate (GFR) estimated by cystatin C and creatinine (eGFR STUDY

designProspective cohort study for outcomes of eGFR SETTING &

participants1,290 adult participants in the Chronic Renal Insufficiency Cohort (CRIC) Study with directly measured iothalamate GFR, 24-hour urine creatinine collections, and plasma measurements of larger molecules such as β EXPOSURE: Baseline eGFR OUTCOME: Time to all-cause death, heart failure hospitalization for prospective analyses, and eGFR for cross-sectional analyses. ANALYTICAL APPROACH: Cox proportional hazards regression for prospective analysis and linear regression for cross-sectional analyses.

resultsAmong adults with CKD, a more positive eGFR LIMITATIONS: Imprecision in measurements such as 24-hour urine collections.

conclusionsThe associations of eGFR PLAIN-LANGUAGE SUMMARY: The difference between estimated glomerular filtration rates (eGFR

Indexed as

CreatinineCystatin CGlomerular Filtration RateRenal Insufficiency, ChronicAdultAgedBiomarkersCohort StudiesCross-Sectional StudiesFemaleHeart FailureHumansMaleMiddle AgedProspective StudiesBiomarkersCreatinineCystatin CChronic kidney diseasecystatin Cestimated glomerular filtration rateserum creatinine

Identifiers

PMID40373998
PMCPMC12818706

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.