Evidence map›Paper›PMID 34343224›Full record

Observational studyPloS one2021

Mortality risk prediction in high-risk patients undergoing coronary artery bypass grafting: Are traditional risk scores accurate?

Maxim Goncharov, Omar Asdrúbal Vilca Mejia, Camila Perez de Souza Arthur, Bianca Maria Maglia Orlandi, Alexandre Sousa, Marco Antônio Praça Oliveira, Fernando Antibas Atik, Rodrigo Coelho Segalote, Marcos Gradim Tiveron, Pedro Gabriel Melo de Barros E Silva and 6 more

Erratum issuedOpen access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 2 countries.

Maxim GoncharovDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.
Omar Asdrúbal Vilca MejiaDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-1635-4984
Camila Perez de Souza ArthurDepartment of Cardiovascular Surgery, Beneficência Portuguesa de São Paulo, São Paulo, Brazil.
Bianca Maria Maglia OrlandiDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-4672-6494
Alexandre SousaDepartment of Cardiovascular Surgery, Beneficência Portuguesa de São Paulo, São Paulo, Brazil.ORCID 0000-0002-2310-5310
Marco Antônio Praça OliveiraDepartment of Cardiovascular Surgery, Beneficência Portuguesa de São Paulo, São Paulo, Brazil.
Fernando Antibas AtikDepartment of Cardiovascular Surgery, Instituto de Cardiologia do Distrito Federal, Brasília, Brazil.
Rodrigo Coelho SegaloteDepartment of Cardiovascular Surgery, Instituto Nacional de Cardiologia do Rio de Janeiro, Rio de Janeiro, Brazil.
Marcos Gradim TiveronDepartment of Cardiovascular Surgery, Hospital Santa Casa de Misericórdia de Marília, Marília, Brazil.
Pedro Gabriel Melo de Barros E SilvaDepartment of Cardiovascular Surgery, Hospital Samaritano Paulista, São Paulo, Brazil.ORCID 0000-0003-1940-4470
Marcelo Arruda NakazoneDepartment of Cardiovascular Surgery, Hospital de Base de São José do Rio Preto, São José do Rio Preto, Brazil.ORCID 0000-0002-0449-7056
Luiz Augusto Ferreira LisboaDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.
Luís Alberto Oliveira DallanDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.
Zhe ZhengDepartment of Cardiovascular Surgery, Fuwai Hospital, Beijing, China.
Shengshou HuDepartment of Cardiovascular Surgery, Fuwai Hospital, Beijing, China.
Fabio Biscegli JateneDepartment of Cardiovascular Surgery, Instituto do Coração, University of São Paulo, São Paulo, Brazil.
Universidade de São Paulo · BRBeneficência Portuguesa de São Paulo · BRChinese Academy of Medical Sciences & Peking Union Medical College · CNHospital de Base · BRHospital Samaritano de São Paulo · BRInstituto de Cardiologia do Distrito Federal · BRInstituto Nacional de Cardiologia · BRSanta Casa de Misericórdia de Marília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe performance of traditional scores is significantly limited to predict mortality in high-risk cardiac surgery. The aim of this study was to compare the performance of STS, ESII and HiriSCORE models in predicting mortality in high-risk patients undergoing CABG.

methodsCross-sectional analysis in the international prospective database of high-risk patients: HiriSCORE project. We evaluated 248 patients with STS or ESII (5-10%) undergoing CABG in 8 hospitals in Brazil and China. The main outcome was mortality, defined as all deaths occurred during the hospitalization in which the operation was performed, even after 30 days. Five variables were selected as predictors of mortality in this cohort of patients. The model's performance was evaluated through the calibration-in-the-large and the receiver operating curve (ROC) tests.

resultsThe mean age was 69.90±9.45, with 52.02% being female, 25% of the patients were on New York Heart Association (NYHA) class IV and 49.6% had Canadian Cardiovascular Society (CCS) class 4 angina, and 85.5% had urgency or emergency status. The mortality observed in the sample was 13.31%. The HiriSCORE model showed better calibration (15.0%) compared to ESII (6.6%) and the STS model (2.0%). In the ROC curve, the HiriSCORE model showed better accuracy (ROC = 0.74) than the traditional models STS (ROC = 0.67) and ESII (ROC = 0.50).

conclusionTraditional models were inadequate to predict mortality of high-risk patients undergoing CABG. However, the HiriSCORE model was simple and accurate to predict mortality in high-risk patients.

Indexed as

Hospital MortalityModels, StatisticalAgedArea Under CurveBrazilChinaCoronary Artery BypassCoronary Artery DiseaseCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedProspective StudiesRisk Assessment

Identifiers

PMID34343224
PMCPMC8330943
OpenAlexW3192870813

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.