Evidence map›Paper›PMID 31619211›Full record

ArticleBMC nephrology2019

Comparison between three different equations for the estimation of glomerular filtration rate in predicting mortality after coronary artery bypass.

Sandro Gelsomino, Massimo Bonacchi, Fabiana Lucà, Fabio Barili, Stefano Del Pace, Orlando Parise, Daniel M Johnson, Michele Massimo Gulizia

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Editorial: Insights in heart surgery: 2022.Frontiers in cardiovascular medicine · 2023
    Article
  3. Article
  4. Article
  5. 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

8 authors at 5 institutions in 2 countries.

Sandro GelsominoCardiothoracic Department, Maastricht University Hospital, Florence, Italy. sandro.gelsomino@maastrichtuniversity.nl.ORCID 0000-0002-7746-989X
Massimo BonacchiCardiothoracovascular Department, Careggi University Hospital, Florence, Italy.
Fabiana LucàCardiothoracic Department, Maastricht University Hospital, Florence, Italy.
Fabio BariliDepartment of Cardiovascular Surgery, S. Croce Hospital, Cuneo, Italy.
Stefano Del PaceCardiothoracovascular Department, Careggi University Hospital, Florence, Italy.
Orlando PariseCardiothoracic Department, Maastricht University Hospital, Florence, Italy.
Daniel M JohnsonCardiothoracic Department, Maastricht University Hospital, Florence, Italy.
Michele Massimo GuliziaANMCO Research Center of Heart Care, Florence, Italy.
Associazione Nazionale Medici Cardiologi Ospedalieri · ITAzienda Ospedaliero-Universitaria Careggi · ITUniversity of Florence · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was undertaken to compare the accuracy of chronic kidney disease-epidemiology collaboration (eGFR

methodsData from 4408 patients who underwent isolated CABG over a 11-year period were retrieved from one institutional database. Discriminatory power was assessed using the c-index and comparison between the scores' performance was performed with DeLong, bootstrap, and Venkatraman methods. Calibration was evaluated with calibration curves and associated statistics.

resultsThe discriminatory power was higher in eGFR

conclusionsIn general, CKD-EPI gives the best prediction of death after CABG with unsatisfactory accuracy and calibration only in patients with severe kidney disease. In contrast, the CG and MDRD equations were inaccurate in a clinically significant proportion of patients.

Indexed as

AgedCoronary Artery BypassFemaleGlomerular Filtration RateHumansMaleMiddle AgedMortalityPostoperative ComplicationsPredictive Value of TestsRenal Insufficiency, ChronicRetrospective StudiesCoronary artery bypassGlomerular filtrationRenal functionRisk score

Identifiers

PMID31619211
PMCPMC6796478
OpenAlexW2981254000

What OpenQuestion holds

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LicenceCC BY
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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.