Evidence map›Paper›PMID 28254771›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2017

Urine Kidney Injury Biomarkers and Risks of Cardiovascular Disease Events and All-Cause Death: The CRIC Study.

Meyeon Park, Chi-Yuan Hsu, Alan S Go, Harold I Feldman, Dawei Xie, Xiaoming Zhang, Theodore Mifflin, Sushrut S Waikar, Venkata S Sabbisetti, Joseph V Bonventre and 10 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Effect of Intensive Blood Pressure Lowering on Kidney Tubule Injury: Findings From the ACCORD Trial Study Participants.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Trial
  5. Trial
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  7. A novel mouse model of adenine-supplemented high-fat diet induced cardiovascular-kidney-metabolic syndrome.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
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  9. Review
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  16. Review
  17. Prognostic utility of a multi-biomarker panel in patients with suspected myocardial infarction.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    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

20 authors at 8 institutions in 1 country.

Meyeon ParkDivision of Nephrology, University of California, San Francisco, San Francisco, California.
Chi-Yuan HsuDivision of Nephrology, University of California, San Francisco, San Francisco, California.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Harold I FeldmanDepartment of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.
Dawei XieDepartment of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.
Xiaoming ZhangDepartment of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.
Theodore MifflinDepartment of Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.
Sushrut S WaikarDivision of Renal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Venkata S SabbisettiDivision of Renal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Joseph V BonventreDivision of Renal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Josef CoreshWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Robert G NelsonNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Paul L KimmelNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
John W KusekNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Mahboob RahmanDivision of Nephrology and Hypertension, Case Western Reserve University, Cleveland, Ohio; and.
Jeffrey R SchellingDivision of Nephrology and Hypertension, Case Western Reserve University, Cleveland, Ohio; and.
Ramachandran S VasanSection of Preventive Medicine and Epidemiology, Boston University, Boston, Massachusetts.
Kathleen D LiuDivision of Nephrology, University of California, San Francisco, San Francisco, California.
Chronic Renal Insufficiency Cohort (CRIC) Study Investigators
CKD Biomarkers Consortium
University of Pennsylvania · USBrigham and Women's Hospital · USNational Institutes of Health · USUniversity of California, San Francisco · USCase Western Reserve University · USBoston University · USJohns Hopkins University · USKaiser Permanente · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
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
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI ONUKWUGHA, EBERECHUKWU · 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
Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical CenterU01DK061022 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2001 to 2025
$15.7M
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002240NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS K23 DK099238NIDDK NIH HHS K24 DK092291NIDDK 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 U01 DK085649NIDDK NIH HHS U01 DK085660NIDDK NIH HHS U01 DK085689NIDDK NIH HHS U01 DK104308NIGMS NIH HHS P30 GM103337
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCKD is an important risk factor for cardiovascular disease (CVD) and death. We investigated whether select urine kidney injury biomarkers were associated with higher risk of heart failure (HF), CVD, and death in persons with CKD enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Urine kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin, liver fatty acid-binding protein, and

resultsAt baseline, mean age of study participants was 59.5±10.8 years, 46% were women, and 34% had a self-reported history of any CVD. Median follow-up was 6.5 (interquartile range, 5.6-6.8) years. A total of 333 HF events, 282 atherosclerotic CVD events, and 440 deaths were observed during a median follow-up of 6.5 (interquartile range, 5.6-6.8) years. Those in the highest two quintiles of KIM-1/Cr levels had a higher risk of HF relative to the lowest quintile (quintile 5 versus quintile 1 adjusted hazard ratio [aHR] of 1.73 [95% confidence interval, 1.05 to 2.85]).

conclusionsSelected urine kidney injury biomarkers were independently associated with higher risk of HF, CVD events, and death in CRIC. Among the biomarkers examined, only KIM-1/Cr was associated with each outcome. Further work is needed to determine the utility of these biomarkers to improve risk prediction for these adverse outcomes.

Indexed as

AcetylglucosaminidaseAgedBiomarkersCardiovascular DiseasesCause of DeathFatty Acid-Binding ProteinsFemaleHepatitis A Virus Cellular Receptor 1HumansLipocalin-2MaleMiddle AgedMultivariate AnalysisPredictive Value of TestsPrognosisProportional Hazards ModelsAcetylglucosaminidaseBiomarkersFABP1 protein, humanFatty Acid-Binding ProteinsHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1LCN2 protein, humanLipocalin-2AcetylglucosaminidaseAgedAtherosclerosisBiomarkerscardiovascular diseasechronic kidney diseasecreatinineFABP1 protein, humanFatty Acid-Binding ProteinsFemaleFollow-Up Studiesheart failureHumansLipocalin-2Middle Agedmortality riskMyocardial InfarctionPeripheral Arterial DiseaseRenal Insufficiency, Chronicrisk factorsSelf ReportStroke

Identifiers

PMID28254771
PMCPMC5477212
OpenAlexW2593373391

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.