Evidence map›Paper›PMID 21164029›Full record

ArticleJournal of the American Society of Nephrology : JASN2011

Cystatin C identifies chronic kidney disease patients at higher risk for complications.

Carmen A Peralta, Ronit Katz, Mark J Sarnak, Joachim Ix, Linda F Fried, Ian De Boer, Walter Palmas, David Siscovick, Andrew S Levey, Michael G Shlipak

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 1 pooled it
10.9field-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.

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

124 citing papers in PubMed, 1 synthesis or guideline pooled it, 228 citations in OpenAlex.

  1. Pooled it
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  5. Identification of incident CKD stage 3 in research studies.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2014
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64 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 5 institutions in 1 country.

Carmen A PeraltaSan Francisco Veterans Affairs Medical Center, San Francisco, California, USA. carmenalicia.peralta@ucsf.edu
Ronit Katz
Mark J Sarnak
Joachim Ix
Linda F Fried
Ian De Boer
Walter Palmas
David Siscovick
Andrew S Levey
Michael G Shlipak
University of Washington · USSan Francisco VA Medical Center · USTufts Medical Center · USColumbia University · USUniversity of California, San Diego · US

Funding

CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
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
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
Heart Failure Incidence and Progression in Renal DiseaseR01DK066488 · NIDDK · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI SHLIPAK, MICHAEL G · 2004 to 2008
$633k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095164 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1999 to 2001
$511k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095163 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1999 to 2001
$443k
Enhancing immune reconstitution after implantation of postnatal allogeneic thymusR21HL095165 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CROOKS, GAY M · 2008 to 2009
$440k
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01 HC-45133NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01 HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS U01 HL080295NIDDK NIH HHS 1K23DK082793-01NIDDK NIH HHS K23 DK082793NIDDK NIH HHS R01 DK066488
6 · The paper itself

Abstract

Although cystatin C is a stronger predictor of clinical outcomes associated with CKD than creatinine, the clinical role for cystatin C is unclear. We included 11,909 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Cardiovascular Health Study (CHS) and assessed risks for death, cardiovascular events, heart failure, and ESRD among persons categorized into mutually exclusive groups on the basis of the biomarkers that supported a diagnosis of CKD (eGFR <60 ml/min per 1.73 m(2)): creatinine only, cystatin C only, both, or neither. We used CKD-EPI equations to estimate GFR from these biomarkers. In MESA, 9% had CKD by the creatinine-based equation only, 2% had CKD by the cystatin C-based equation only, and 4% had CKD by both equations; in CHS, these percentages were 12, 4, and 13%, respectively. Compared with those without CKD, the adjusted hazard ratios (HR) for mortality in MESA were: 0.80 (95% CI 0.50 to 1.26) for CKD by creatinine only; 3.23 (95% CI 1.84 to 5.67) for CKD by cystatin C only; and 1.93 (95% CI 1.27 to 2.92) for CKD by both; in CHS, the adjusted HR were 1.09 (95% CI 0.98 to 1.21), 1.78 (95% CI 1.53 to 2.08), and 1.74 (95% CI 1.58 to 1.93), respectively. The pattern was similar for cardiovascular disease (CVD), heart failure, and kidney failure outcomes. In conclusion, among adults diagnosed with CKD using the creatinine-based CKD-EPI equation, the adverse prognosis is limited to the subset who also have CKD according to the cystatin C-based equation. Cystatin C may have a role in identifying persons with CKD who have the highest risk for complications.

Indexed as

Disease ProgressionAgedAged, 80 and overBiomarkersCardiovascular DiseasesChronic DiseaseCreatinineCystatin CFemaleGlomerular Filtration RateHeart FailureHumansKidney DiseasesKidney Failure, ChronicMaleMiddle AgedBiomarkersCreatinineCystatin C

Identifiers

PMID21164029
PMCPMC3014043
OpenAlexW2107030820

What OpenQuestion holds

Textmetadata
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.