Evidence map›Paper›PMID 32491001›Full record

ArticleArquivos brasileiros de cardiologia2020

Ser49Gly Beta1-Adrenergic Receptor Genetic Polymorphism as a Death Predictor in Brazilian Patients with Heart Failure.

Felipe Neves de Albuquerque, Andrea Araujo Brandão, Dayse Aparecida Silva, Ricardo Mourilhe Rocha, Marcelo Imbroinise Bittencourt, Ana Luiza Ferreira Sales, Pedro Pimenta de Mello Spineti, Gustavo Salgado Duque, Lucas Rangel de Souza Azevedo, Roberto Pozzan and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Associations between SelectedMedicina (Kaunas, Lithuania) · 2023
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Felipe Neves de AlbuquerqueUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0001-8692-1115
Andrea Araujo BrandãoUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0002-7040-396X
Dayse Aparecida SilvaInstituto Nacional de Cardiologia, Rio de Janeiro, RJ, Brasil.ORCID 0000-0003-3805-2837
Ricardo Mourilhe RochaUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Marcelo Imbroinise BittencourtUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0003-1206-9489
Ana Luiza Ferreira SalesUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0002-2591-2773
Pedro Pimenta de Mello SpinetiUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0001-9891-676X
Gustavo Salgado DuqueUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Lucas Rangel de Souza AzevedoUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.ORCID 0000-0002-6931-7474
Roberto PozzanUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Bernardo Rangel TuraInstituto Nacional de Cardiologia – Arritmia, Rio de Janeiro, RJ – Brazil
Denilson Campos de AlbuquerqueUniversidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Universidade do Estado do Rio de Janeiro · BRInstituto Nacional de Cardiologia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The role of Ser49Gly beta1-adrenergic receptor genetic polymorphism (ADBR1-GP-Ser49Gly) as a predictor of death in heart failure (HF) is not established for the Brazilian population. Objectives To evaluate the association between ADBR1-GP-Ser49Gly and clinical outcomes in individuals with HF with reduced ejection fraction. Methods Secondary analysis of medical records of 178 patients and genotypes of GPRβ1-Ser49Gly variants, classified as Ser-Ser, Ser-Gly and Gly-Gly. To evaluate their association with clinical outcome. A significance level of 5% was adopted. Results Cohort means were: clinical follow-up 6.7 years, age 63.5 years, 64.6% of men and 55.1% of whites. HF etiologies were predominantly ischemic (31.5%), idiopathic (23.6%) and hypertensive (15.7%). The genetic profile was distributed as follows: 122 Ser-Ser (68.5%), 52 Ser-Gly (28.7%) and 5 Gly-Gly (2.8%). There was a significant association between these genotypes and mean NYHA functional class at the end of follow-up (p = 0.014) with Gly-Gly being associated with less advanced NYHA. In relation to the clinical outcomes, there was a significant association (p = 0.026) between mortality and GPRβ1-Ser49Gly: the number of deaths in patients with Ser-Gly (12) or Gly-Gly (1) was lower than in those with Ser-Ser (54). The Gly allele had an independent protective effect maintained after multivariate analysis and was associated with a reduction of 63% in the risk of death (p = 0.03; Odds Ratio 0.37 - CI 0.15-0.91). Conclusion The presence of β1-AR-GP Gly-Gly was associated with better clinical outcome evaluated by NYHA functional class and was a predictor of lower risk of mortality, regardless of other factors, in a 6.7-year of follow-up. (Arq Bras Cardiol. 2020; 114(4):613-615).

Indexed as

Heart FailurePolymorphism, GeneticBrazilFemaleGenotypeHumansMaleMiddle AgedReceptors, AdrenergicReceptors, Adrenergic, beta-1Receptors, AdrenergicReceptors, Adrenergic, beta-1

Identifiers

PMID32491001
PMCPMC9744341
OpenAlexW3032332637

What Socratic 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 Socratic graph.