Evidence map›Paper›PMID 24004120›Full record

SynthesisThe New England journal of medicine2013

Cystatin C versus creatinine in determining risk based on kidney function.

Michael G Shlipak, Kunihiro Matsushita, Johan Ärnlöv, Lesley A Inker, Ronit Katz, Kevan R Polkinghorne, Dietrich Rothenbacher, Mark J Sarnak, Brad C Astor, Josef Coresh and 3 more

Registry-linked trialOpen access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The New England journal of medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02294032 (The Role of B Cells in Kidney Allograft Dysfunction), which is not on this map. Cited by 483 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
483citing papers in PubMed, 7 pooled it
49.4field-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.

NCT02294032 completednot on this mapstarted 2014, after this paper: background citation

The Role of B Cells in Kidney Allograft Dysfunction

Typeobservational_patient_registrySponsorLoma Linda UniversityRan2014 to 2023Enrolled180ConditionsKidney, Complications, Allograft, Transplantation InfectionArmsImmunosuppressive Agents
3 · Its place in the literature

Who cites it

483 citing papers in PubMed, 7 syntheses or guidelines pooled it, 950 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Michael G ShlipakDivision of General Internal Medicine, San Francisco Veterans Affairs Medical Center, and Department of Medicine, University of California San Francisco, San Francisco, USA.
Kunihiro Matsushita
Johan Ärnlöv
Lesley A Inker
Ronit Katz
Kevan R Polkinghorne
Dietrich Rothenbacher
Mark J Sarnak
Brad C Astor
Josef Coresh
Andrew S Levey
Ron T Gansevoort
CKD Prognosis Consortium
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
THE EPIDEMIOLOGY OF AGE-RELATED OCULAR DISEASEU10EY006594 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI KLEIN, BARBARA EDEN · 1987 to 2018
$17.3M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
Novel Risk Factors for Chronic Kidney DiseaseR01DK073217 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI KLEIN, RONALD · 2006 to 2008
$800k
Novel Cardiac Risk Factors &Endothelial Function in CKDK23DK067303 · NIDDK · TUFTS MEDICAL CENTER · PI MENON, VANDANA · 2004 to 2008
$781k
CARDIOVASCULAR RISK FACTORS--CHRONIC RENAL INSUFFICIENCYK23DK002904 · NIDDK · TUFTS MEDICAL CENTER · PI SARNAK, MARK J · 2000 to 2004
$672k
MDRD LONG TERM FOLLOW UP STUDYU01DK035073 · NIDDK · CLEVELAND CLINIC FOUNDATION · PI BECK, GERALD J · 1986 to 2004
$650k
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085081 · HC · JOHNS HOPKINS UNIVERSITY · PI FRIED, LINDA P · 1988 to 2000
–
NEI NIH HHS U10 EY006594NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL080295NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027002NIDDK NIH HHS K23 DK002904NIDDK NIH HHS K23 DK067303NIDDK NIH HHS R01 DK073217NIDDK NIH HHS U01 DK035073NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundAdding the measurement of cystatin C to that of serum creatinine to determine the estimated glomerular filtration rate (eGFR) improves accuracy, but the effect on detection, staging, and risk classification of chronic kidney disease across diverse populations has not been determined.

methodsWe performed a meta-analysis of 11 general-population studies (with 90,750 participants) and 5 studies of cohorts with chronic kidney disease (2960 participants) for whom standardized measurements of serum creatinine and cystatin C were available. We compared the association of the eGFR, as calculated by the measurement of creatinine or cystatin C alone or in combination with creatinine, with the rates of death (13,202 deaths in 15 cohorts), death from cardiovascular causes (3471 in 12 cohorts), and end-stage renal disease (1654 cases in 7 cohorts) and assessed improvement in reclassification with the use of cystatin C.

resultsIn the general-population cohorts, the prevalence of an eGFR of less than 60 ml per minute per 1.73 m(2) of body-surface area was higher with the cystatin C-based eGFR than with the creatinine-based eGFR (13.7% vs. 9.7%). Across all eGFR categories, the reclassification of the eGFR to a higher value with the measurement of cystatin C, as compared with creatinine, was associated with a reduced risk of all three study outcomes, and reclassification to a lower eGFR was associated with an increased risk. The net reclassification improvement with the measurement of cystatin C, as compared with creatinine, was 0.23 (95% confidence interval [CI], 0.18 to 0.28) for death and 0.10 (95% CI, 0.00 to 0.21) for end-stage renal disease. Results were generally similar for the five cohorts with chronic kidney disease and when both creatinine and cystatin C were used to calculate the eGFR.

conclusionsThe use of cystatin C alone or in combination with creatinine strengthens the association between the eGFR and the risks of death and end-stage renal disease across diverse populations. (Funded by the National Kidney Foundation and others.).

Indexed as

Glomerular Filtration RateKidney Function TestsCreatinineCystatin CHumansKidney Failure, ChronicReference StandardsRenal Insufficiency, ChronicRiskRisk AssessmentCreatinineCystatin C

Identifiers

PMID24004120
PMCPMC3993094
OpenAlexW2123775770

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.