Evidence map›Paper›PMID 34293394›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2022

Upper Reference Limits for High-Sensitivity Cardiac Troponin T and N-Terminal Fragment of the Prohormone Brain Natriuretic Peptide in Patients With CKD.

Nisha Bansal, Leila R Zelnick, Christie M Ballantyne, Paulo H M Chaves, Robert H Christenson, Josef Coresh, Christopher R deFilippi, James A de Lemos, Lori B Daniels, Alan S Go and 8 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Cardiac Biomarkers in Chronic Kidney Disease: Signal or Noise?Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Comparative analysis of plasma BNP and NT-proBNP levels, and NT-proBNP/BNP ratio in patients with chronic kidney disease.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  10. Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Brain Natriuretic Peptide Monitoring in CKD: Ready for Prime Time?American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  20. Review
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

18 authors at 12 institutions in 1 country.

Nisha BansalKidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington. Electronic address: nbansal@nephrology.washington.edu.
Leila R ZelnickKidney Research Institute and Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.
Christie M BallantyneCenter for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas.
Paulo H M ChavesBenjamin Leon Center for Geriatric Research and Education, Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida.
Robert H ChristensonDepartment of Pathology, School of Medicine, University of Maryland, Baltimore, Maryland.
Josef CoreshDepartment of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Christopher R deFilippiInova Center of Outcomes Research, Inova Heart and Vascular Institute, Falls Church, Virginia.
James A de LemosDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Lori B DanielsDivision of Cardiovascular Medicine, Department of Medicine, and Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Jiang HeTulane University Translational Science Institute, Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, Louisiana.
S Susan HedayatiDivision of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Kunihiro MatsushitaDepartment of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Vijay NambiCenter for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Hospital, Houston, Texas.
Michael G ShlipakDepartment of Medicine, and Department of Epidemiology and Biostatistics, University of California-San Francisco, and San Francisco VA Medical Center, San Francisco, California.
Jonathan J TaliercioDepartment of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio.
Stephen L SeligerDivision of Nephrology, School of Medicine, University of Maryland, Baltimore, Maryland.
CRIC Study Investigators
Baylor College of Medicine · USJohns Hopkins University · USThe University of Texas Southwestern Medical Center · USUniversity of Maryland, Baltimore · USUniversity of Washington · USCleveland Clinic · USFlorida International University · USInova Health System · USKaiser Permanente · USSan Francisco VA Medical Center · USTulane University · USUniversity of California, San Diego · US

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
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 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 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
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002548NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS R01 DK103612NIDDK NIH HHS R01 DK119199NIDDK NIH HHS R01 DK139225NIDDK NIH HHS R21 DK130018NIDDK 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 utility of conventional upper reference limits (URL) for N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hsTnT) in chronic kidney disease (CKD) remains debated. We analyzed the distribution of hsTnT and NT-proBNP in people with CKD in ambulatory settings to examine the diagnostic value of conventional URL in this population. STUDY

designObservational study. SETTING &

participantsWe studied participants of the Chronic Renal Insufficiency Cohort (CRIC) with CKD and no self-reported history of cardiovascular disease. EXPOSURE: Estimated glomerular filtration rate (eGFR). OUTCOME: NT-proBNP and hsTnT at baseline. ANALYTICAL APPROACH: We described the proportion of participants above the conventional URL for NT-proBNP (125pg/mL) and hsTnT (14ng/L) overall and by eGFR. We then estimated 99th percentile URL for NT-proBNP and hsTnT. Using quantile regression of the 99th percentile, we modeled the association of eGFR with NT-proBNP and hsTnT.

resultsAmong 2,312 CKD participants, 40% and 43% had levels of NT-proBNP and hsTnT above the conventional URL, respectively. In those with eGFR <30mL/min/1.73m LIMITATIONS: Study included ambulatory patients, and we could not test the accuracy of the URL of NT-proBNP and hsTnT in the acute care setting.

conclusionsIn this ambulatory CKD population with no self-reported history of cardiovascular disease, a range of 40%-88% of participants had concentrations of NT-proBNP and hsTnT above the conventional URL, depending on eGFR strata. Developing eGFR-specific thresholds for these commonly used cardiac biomarkers in the setting of CKD may improve their utility for evaluation of suspected heart failure and myocardial infarction.

Indexed as

Renal Insufficiency, ChronicTroponin TBiomarkersGlomerular Filtration RateHumansNatriuretic Peptide, BrainPeptide FragmentsBiomarkersNatriuretic Peptide, BrainPeptide FragmentsTroponin TCardiac biomarkerscardiovascular diseasechronic kidney disease (CKD)diagnostic thresholdheart failure (HF)high-sensitivity cardiac troponin T (hsTnT)laboratory measurementmyocardial infarction (MI)N-terminal pro–brain natriuretic peptide (NT-proBNP)troponinupper limit of normal (ULN)

Identifiers

PMID34293394
PMCPMC8766621
OpenAlexW3183609690

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.