Evidence map›Paper›PMID 21482744›Full record

ArticleJAMA2011

Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality.

Carmen A Peralta, Michael G Shlipak, Suzanne Judd, Mary Cushman, William McClellan, Neil A Zakai, Monika M Safford, Xiao Zhang, Paul Muntner, David Warnock

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in JAMA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 213 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 5 pooled it
27.4field-weighted citation impact, top 1% 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.

NCT02059408 nacompletednot on this mapstarted 2015, after this paper: background citation

Can a Targeted Screen-and-treat Program for Chronic Kidney Disease Improve Blood Pressure (BP) Management Among Persons at High Risk for Complications ?

TypeinterventionalSponsorUniversity of California, San FranciscoRan2015 to 2018Enrolled1,819ConditionsHypertensionArmsScreen-Educate, Screen-Educate and Intensify Treatment
NCT02925962 nacompletednot on this mapstarted 2017, after this paper: background citation

A Randomized Trial to Evaluate an Electronic CKD Clinical Decision Support System (CDSS) in Clinical Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2017 to 2020Enrolled542ConditionsHypertension, Renal Insufficiency, ChronicArmsClinical Decision Support System (CDSS), Clinic Decision Sup System + Pharmacist
3 · Its place in the literature

Who cites it

213 citing papers in PubMed, 5 syntheses or guidelines pooled it, 452 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Electronic Decision Support for Management of CKD in Primary Care: A Pragmatic Randomized Trial.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020
    Trial
  7. Trial
  8. Effect of Intentional Weight Loss on Mortality Biomarkers in Older Adults With Obesity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. A cluster randomized trial of an enhanced eGFR prompt in chronic kidney disease.Clinical journal of the American Society of Nephrology : CJASN · 2012
    Trial
  17. The kidney failure risk equation in people with CKD and multimorbidity: the effect of competing mortality risks.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
  18. Observational
  19. Article
  20. Article

153 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Carmen A PeraltaDepartment of Medicine, San Francisco VA Medical Center, San Francisco, California, USA. carmenalicia.peralta@ucsf.edu
Michael G Shlipak
Suzanne Judd
Mary Cushman
William McClellan
Neil A Zakai
Monika M Safford
Xiao Zhang
Paul Muntner
David Warnock
San Francisco VA Medical Center · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
The Aging Kidney in HIV-Infection: biomarkers for early detection of injuryR01AG034853 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ESTRELLA, MICHELLE M, SHLIPAK, MICHAEL G · 2010 to 2025
$9.6M
Chronic Kidney Disease and Cardiovascular Risk in Black and White Young AdultsR01DK078124 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2008 to 2010
$1.2M
Racial/Ethnic Disparities in Kidney Function Decline: Genes or Environment?K23DK082793 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERALTA, CARMEN ALICIA · 2009 to 2013
$786k
Heart Failure Incidence and Progression in Renal DiseaseR01DK066488 · NIDDK · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI SHLIPAK, MICHAEL G · 2004 to 2008
$633k
Fetuin-A: A Novel Biomarker of Vascular Calcification and Diabetes MellitusR21HL091217 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IX, JOACHIM H · 2009 to 2010
$608k
A Triple Marker Approach To Optimize CKD Detection Among Black and White AdultsR03DK095877 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI PERALTA, CARMEN ALICIA · 2012 to 2014
$514k
NHLBI NIH HHS R01 HL080477NHLBI NIH HHS R01 HL085757NHLBI NIH HHS R01HL085757NHLBI NIH HHS R21 HL091217NHLBI NIH HHS R21HL091217NIA NIH HHS R01 AG034853NIA NIH HHS R01AG034853NIDDK NIH HHS K23 DK082793NIDDK NIH HHS R01 DK066488NIDDK NIH HHS R01DK066488NIDDK NIH HHS R01 DK078124NIDDK NIH HHS R01DK078124NIDDK NIH HHS R03 DK095877NINDS NIH HHS U01 NS041588PHS HHS 1K23SK082793-01
6 · The paper itself

Abstract

contextA triple-marker approach for chronic kidney disease (CKD) evaluation has not been well studied.

objectiveTo evaluate whether combining creatinine, cystatin C, and urine albumin-to-creatinine ratio (ACR) would improve identification of risks associated with CKD compared with creatinine alone. DESIGN, SETTING, AND

participantsProspective cohort study involving 26,643 US adults enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study from January 2003 to June 2010. Participants were categorized into 8 groups defined by estimated glomerular filtration rate (GFR) determined by creatinine and by cystatin C of either <60 or ≥60 mL/min/1.73 m(2) and ACR of either <30 or ≥30 mg/g.

main outcome measuresAll-cause mortality and incident end-stage renal disease with median follow-up of 4.6 years.

resultsParticipants had a mean age of 65 years, 40% were black, and 54% were women. Of 26,643 participants, 1940 died and 177 developed end-stage renal disease. Among participants without CKD defined by creatinine, 24% did not have CKD by either ACR or cystatin C. Compared with those with CKD defined by creatinine alone, the hazard ratio for death in multivariable-adjusted models was 3.3 (95% confidence interval [CI], 2.0-5.6) for participants with CKD defined by creatinine and ACR; 3.2 (95% CI, 2.2-4.7) for those with CKD defined by creatinine and cystatin C, and 5.6 (95% CI, 3.9-8.2) for those with CKD defined by all biomarkers. Among participants without CKD defined by creatinine, 3863 (16%) had CKD detected by ACR or cystatin C. Compared with participants who did not have CKD by any measure, the HRs for mortality were 1.7 (95% CI, 1.4-1.9) for participants with CKD defined by ACR alone, 2.2 (95% CI, 1.9-2.7) for participants with CKD defined by cystatin C alone, and 3.0 (95% CI, 2.4-3.7) for participants with CKD defined by both measures. Risk of incident end-stage renal disease was higher among those with CKD defined by all markers (34.1 per 1000 person-years; 95% CI, 28.7-40.5 vs 0.33 per 1000 person-years; 95% CI, 0.05-2.3) for those with CKD defined by creatinine alone. The second highest end-stage renal disease rate was among persons missed by the creatinine measure but detected by both ACR and cystatin C (rate per 1000 person-years, 6.4; 95% CI, 3.6-11.3). Net reclassification improvement for death was 13.3% (P < .001) and for end-stage renal disease was 6.4% (P < .001) after adding estimated GFR cystatin C in fully adjusted models with estimated GFR creatinine and ACR.

conclusionAdding cystatin C to the combination of creatinine and ACR measures improved the predictive accuracy for all-cause mortality and end-stage renal disease.

Indexed as

AgedAged, 80 and overAlbuminuriaBiomarkersCause of DeathCreatinineCystatin CDisease ProgressionFemaleForecastingGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedPredictive Value of TestsBiomarkersCreatinineCystatin C

Identifiers

PMID21482744
PMCPMC3697771
OpenAlexW2136066105

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.