Evidence map›Paper›PMID 22338108›Full record

ArticleDiabetes care2012

Clinical utility of creatinine- and cystatin C-based definition of renal function for risk prediction of primary cardiovascular events in patients with diabetes.

Ben Schöttker, Christian Herder, Heiko Müller, Hermann Brenner, Dietrich Rothenbacher

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. A lower eGFRRenal failure · 2024
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  14. Cystatin C Predicts Incident Cardiovascular Disease in Twins.Journal of the American Heart Association · 2016
    Article
  15. Cystatin C- and Creatinine-Based Estimates of Glomerular Filtration Rate in Dapagliflozin Phase 3 Clinical Trials.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2016
    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

5 authors at 3 institutions in 1 country.

Ben SchöttkerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany. b.schoettker@dkfz-heidelberg.de
Christian Herder
Heiko Müller
Hermann Brenner
Dietrich Rothenbacher
German Cancer Research Center · DEHeidelberg University · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the cardiovascular risk of diabetic subjects with chronic kidney disease (CKD) based on different estimated glomerular filtration rate (eGFR) equations and to evaluate which definition of CKD best improves cardiovascular risk prediction of the Framingham Cardiovascular Risk Score (Framingham-CV-RS). RESEARCH DESIGN AND

methodsCKD was defined as eGFR <60 mL/min/1.73 m(2), estimated by the creatinine-based Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations and a cystatin C-based equation (CKD-CysC). Cox regression was used to estimate hazard ratios (HRs) of subjects with CKD for incident cardiovascular events in a cohort of 1,153 individuals with diabetes (baseline age 50-74 years). Furthermore, the CKD definitions were added individually to a reference model comprising the Framingham-CV-RS variables and HbA(1c), and measures of model discrimination and reclassification were assessed.

resultsDuring 5 years of follow-up, 95 individuals had a primary cardiovascular event. Crude HRs were increased for all CKD definitions. However, after adjusting for established cardiovascular risk factors, HRs for both creatinine-based CKD definitions were attenuated to point estimates of 1.03, whereas the HRs for the cystatin C-based CKD definition remained significantly increased (HR 1.75 [95% CI 1.07-2.87]). Extension of the reference model by the different CKD definitions resulted in an increase in the c statistic only when adding CKD-CysC (from 0.638 to 0.644) along with a net reclassification improvement of 8.9%.

conclusionsOnly the cystatin C-based CKD definition was an independent risk predictor for cardiovascular events in our diabetic study cohort and indicated a potentially better clinical utility for cardiovascular risk prediction than creatinine-based equations.

Indexed as

AgedCardiovascular DiseasesCreatinineCystatin CDiabetes ComplicationsDiabetic NephropathiesFemaleFollow-Up StudiesHumansKidneyKidney Failure, ChronicKidney Function TestsMaleMiddle AgedPredictive Value of TestsPrognosisCreatinineCST3 protein, humanCystatin C

Identifiers

PMID22338108
PMCPMC3308288
OpenAlexW2122009184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.