Evidence map›Paper›PMID 25004415›Full record

ArticleArquivos brasileiros de cardiologia2014

Applicability of two international risk scores in cardiac surgery in a reference center in Brazil.

Silvia Bueno Garofallo, Daniel Pinheiro Machado, Clarissa Garcia Rodrigues, Odemir Bordim, Renato A K Kalil, Vera Lúcia Portal

Abstract readEvaluation Study
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022
    Article
  4. Article
  5. Article
  6. Cardiovascular Statistics - Brazil 2020.Arquivos brasileiros de cardiologia · 2020
    Article
  7. Observational
  8. Article
  9. 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.

Silvia Bueno Garofallo
Daniel Pinheiro Machado
Clarissa Garcia Rodrigues
Odemir Bordim
Renato A K Kalil
Vera Lúcia Portal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe applicability of international risk scores in heart surgery (HS) is not well defined in centers outside of North America and Europe.

objectiveTo evaluate the capacity of the Parsonnet Bernstein 2000 (BP) and EuroSCORE (ES) in predicting in-hospital mortality (IHM) in patients undergoing HS at a reference hospital in Brazil and to identify risk predictors (RP).

methodsRetrospective cohort study of 1,065 patients, with 60.3% patients underwent coronary artery bypass grafting (CABG), 32.7%, valve surgery and 7.0%, CABG combined with valve surgery. Additive and logistic scores models, the area under the ROC (Receiver Operating Characteristic) curve (AUC) and the standardized mortality ratio (SMR) were calculated. Multivariate logistic regression was performed to identify the RP.

resultsOverall mortality was 7.8%. The baseline characteristics of the patients were significantly different in relation to BP and ES. AUCs of the logistic and additive BP were 0.72 (95% CI, from 0.66 to 0.78 p = 0.74), and of ES they were 0.73 (95% CI; 0.67 to 0.79 p = 0.80). The calculation of the SMR in BP was 1.59 (95% CI; 1.27 to 1.99) and in ES, 1.43 (95% CI; 1.14 to 1.79). Seven RP of IHM were identified: age, serum creatinine > 2.26 mg/dL, active endocarditis, systolic pulmonary arterial pressure > 60 mmHg, one or more previous HS, CABG combined with valve surgery and diabetes mellitus.

conclusionLocal scores, based on the real situation of local populations, must be developed for better assessment of risk in cardiac surgery.

Indexed as

Hospital MortalityAgedBrazilCoronary Artery BypassFemaleHeart Valve DiseasesHumansLogistic ModelsMaleMiddle AgedPostoperative ComplicationsReference ValuesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID25004415
PMCPMC4079017

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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.