Evidence map›Paper›PMID 24609482›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2014

Comparison of modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas in predicting long-term outcomes in patients undergoing stent implantation due to stable coronary artery disease.

Tadeusz Osadnik, Jarosław Wasilewski, Andrzej Lekston, Joanna Strzelczyk, Anna Kurek, Aleksander Rafał Gutowski, Krzysztof Dyrbuś, Kamil Bujak, Rafał Reguła, Piotr Rozentryt and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The Relationship betweenDisease markers · 2017
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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

12 authors at 2 institutions in 1 country.

Tadeusz OsadnikIIIrd Department of Cardiology, Medical University of Silesia in Katowice, Medical Faculty in Zabrze, Silesian Centre for Heart Diseases, Ul. Marii Skłodowskiej Curie 9, 41-800, Zabrze, Poland, tadeusz.osadnik@sccs.pl.
Jarosław Wasilewski
Andrzej Lekston
Joanna Strzelczyk
Anna Kurek
Aleksander Rafał Gutowski
Krzysztof Dyrbuś
Kamil Bujak
Rafał Reguła
Piotr Rozentryt
Bożena Szyguła-Jurkiewicz
Lech Poloński
Medical University of Silesia · PLSilesian Center for Heart Disease · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim was to assess the predictive value of estimated glomerular filtration rate (eGFR) using two formulas: modification of diet in renal disease (MDRD) and chronic kidney disease epidemiology collaboration (CKD-EPI), in a population with stable coronary artery disease (SCAD) undergoing percutaneous coronary revascularization (PCI).

methodsThe analyzed cohort included 3,141 consecutive patients with SCAD who underwent PCI, between January 2006 and December 2011. Follow-up data were available for 3,123 (99.4 %) patients.

resultsThe median follow-up was 1,127 days (interquartile range 566-1,634 days). During the observation period, 330 deaths were reported. In patients with serum creatinine (S-Cr) within normal range, eGFR by CKD-EPI equation predicted long-term outcome more accurately, than eGFR by MDRD formula-continuous Net Reclassification Improvement: 0.296 (95 % CI, 0.08-0.5 p = 0.03). In patients with elevated S-CR, eGFR calculated by both formulae had similar efficacy in assessing death risk. After adjustment for differences in clinical characteristics, both formulae were associated with mortality, but only in patients with elevated S-Cr: eGFR by MDRD (per 10 ml/min/1.73 m(2)) HR: 0.74 [95 % CI, 0.61-0.89, p = 0.002], eGFR by CKD-EPI (per 10 ml/min/1.73 m(2)) HR: 0.75 (95 % CI, 0.63-0.89, p = 0.001). After adjustment for covariates, eGFR by CKD-EPI equation did not offer more appropriate categorization of individuals with respect to long-term mortality.

conclusionOur results indicate that in multivariable analysis eGFR calculated by MDRD and CKD-EPI equations has similar predictive value. In a population of patients with SCAD and S-Cr within normal range, eGFR calculated by CKD-EPI equation outperforms eGFR calculated by MDRD equation in assessing death risk.

Indexed as

Glomerular Filtration RateStentsAdultAgedAged, 80 and overCohort StudiesCoronary Artery DiseaseCreatinineFemaleFollow-Up StudiesHumansMaleMiddle AgedMultivariate AnalysisOutcome Assessment, Health CarePercutaneous Coronary InterventionCreatinine

Identifiers

PMID24609482
OpenAlexW2054742763

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.