Evidence map›Paper›PMID 33306312›Full record

ArticleBrazilian journal of cardiovascular surgery2020

Predictive Factors of Mortality in Acute Aortic Dissection and Validity of the EuroSCORE Algorithm in a Small-Sized Cardiac Surgery Institution.

Facundo Rios, Diego Perez, Gerardo Soca, Ricardo Robaina, Victor Dayan

Open access · diamondAbstract read
In one paragraph

Article in Brazilian journal of cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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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 1 institution in 1 country.

Facundo RiosNational Institute of Cardiac Surgery, Montevideo, Uruguay.
Diego PerezNational Institute of Cardiac Surgery, Montevideo, Uruguay.
Gerardo SocaNational Institute of Cardiac Surgery, Montevideo, Uruguay.
Ricardo RobainaNational Institute of Cardiac Surgery, Montevideo, Uruguay.
Victor DayanNational Institute of Cardiac Surgery, Montevideo, Uruguay.ORCID 0000-0002-5470-0585
National Administration of Power Plants and Electrical Transmissions (Uruguay) · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute aortic dissection (AAD) is a devastating surgical emergency, with high operative mortality. Several scoring algorithms have been used to establish the expected mortality in these patients. Our objective was to define the predictive factors for mortality in our center and to validate the EuroSCORE and Penn classification system.

methodsPatients who underwent surgery for AAD from 2006 to 2016 were retrieved from the institution's database. Preoperative, operative and postoperative variables were collected. Observed and expected mortality was calculated by EuroSCORE. Logistic regression analysis and Cox regression analysis were performed to find predictors of operative mortality and survival, respectively. The receiver operating characteristic (ROC) curves were plotted for logistic EuroSCORE, and the area under the ROC curve (AUC) was calculated.

results87 patients (27.6% female) underwent surgery for AAD. The mean age was 58.6±9.7 years. Expected and observed operative mortality was 25.8±15.1% and 20.7%, respectively. Penn Aa, Ab and Abc shared similar observed/expected (O/E) mortality ratio. The only independent predictor of operative mortality (OR: 3.63; 95% CI: 1.19-11.09) and survival (HR: 2.6; 95% CI: 1.5-4.8) was female gender. EuroSCORE showed a very poor prediction capacity, with an AUC=0.566.

conclusionFemale gender was the only independent predictor of operative mortality and survival in our institution. EuroSCORE is a poor scoring algorithm to predict mortality in AAD, but with consistent results for Penn Aa, Ab and Abc.

Indexed as

AlgorithmsAortic DissectionAgedCardiac Surgical ProceduresFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedRisk AssessmentRisk FactorsROC CurveAneurysm, DissectingCoronary Artery BypassPostoperative PeriodROC Curve

Identifiers

PMID33306312
PMCPMC7731861
OpenAlexW3103983929

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.