Evidence map›Paper›PMID 29979700›Full record

ArticlePloS one2018

One-year mortality of patients with ST-Elevation myocardial infarction: Prognostic impact of creatinine-based equations to estimate glomerular filtration rate.

Yoann Bataille, Olivier Costerousse, Olivier F Bertrand, Olivier Moranne, Hans Pottel, Pierre Delanaye

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Yoann BatailleQuebec Heart-Lung Institute, Quebec, Canada.
Olivier CosterousseQuebec Heart-Lung Institute, Quebec, Canada.
Olivier F BertrandQuebec Heart-Lung Institute, Quebec, Canada.
Olivier MoranneDepartment of Nephrology-Dialysis-Apheresis, CHU de Nîmes, Medical School, University Montpellier-Nimes, Nîmes, France.
Hans PottelDepartment of Public Health and Primary Care, Kulak, University of Leuven, Kortrijk, Belgium.
Pierre DelanayeDepartment of Nephrology, Dialysis, Transplantation, University of Liège (CHU ULg), Liège, Belgium.ORCID 0000-0002-1480-5761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal dysfunction is associated with worse outcomes after primary percutaneous coronary intervention (PCI). However, whether glomerular filtration rate (GFR) estimated with various equations can equally predict outcomes after ST-Elevation Myocardial Infarction (STEMI) is still debated.

methodsWe compared the clinical impact of 3 different creatinine-based equations (Cockcroft and Gault (CG), CKD-epidemiology (CKD-EPI) and Full Age Spectrum (FAS)) to predict 1-year mortality in STEMI patients.

resultsAmong 1755 consecutive STEMI patients who had undergone primary PCI included between 2006 and 2011, median estimated GFR was 79 (61;96) with the CG, 81 (65;95) with CKD-EPI and 75 (60;91) mL/min/1.73 m2 with FAS equation. Reduced GFR values were independently associated with 1-year mortality risk with the 3 equations. Receiver operating curves (ROC) of CG and FAS equations were significantly superior to the CKD-EPI equation, p = 0.03 and p = 0.01, respectively. Better prediction with FAS and CG equations was confirmed by net reclassification index.

conclusionsOur results suggest that in STEMI patients who have undergone primary PCI, 1-year mortality is better predicted by CG or FAS equations compared to CKD-EPI.

Indexed as

Glomerular Filtration RateCreatinineCystatin CFemaleHumansMaleMiddle AgedPrognosisRisk AssessmentST Elevation Myocardial InfarctionSurvival RateCreatinineCystatin C

Identifiers

PMID29979700
PMCPMC6034802

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.