Evidence map›Paper›PMID 36453760›Full record

ArticleArquivos brasileiros de cardiologia2022

Pharmaco-invasive Strategy in Myocardial Infarction: Descriptive Analysis, Presentation of Ischemic Symptoms and Mortality Predictors.

Henrique Tria Bianco, Rui Povoa, Maria Cristina Izar, Claudia Maria Rodrigues Alves, Adriano Henrique Pereira Barbosa, Maria Teresa Nogueira Bombig, Iran Gonçalves, Bráulio Luna Filho, Ana Caroline Aguirre, Pedro Ivo de Marqui Moraes and 8 more

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

  1. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Henrique Tria BiancoUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.ORCID 0000-0001-6746-8327
Rui PovoaUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.ORCID 0000-0002-4295-9151
Maria Cristina IzarUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.ORCID 0000-0002-5738-2623
Claudia Maria Rodrigues AlvesUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Adriano Henrique Pereira BarbosaUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Maria Teresa Nogueira BombigUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.ORCID 0000-0001-9603-6072
Iran GonçalvesUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.
Bráulio Luna FilhoUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.
Ana Caroline AguirreUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.
Pedro Ivo de Marqui MoraesUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.
Dirceu AlmeidaUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.ORCID 0000-0002-2178-1518
Flávio Tocci MoreiraUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Fernando Focaccia PovoaUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.ORCID 0000-0002-9774-4406
Edson StefaniniUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Adriano Mendes CaixetaUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Amanda S BacchinUniversidade Federal de São Paulo - Cardiologia, São Paulo, SP - Brasil.
Valdir Ambrósio MoisésUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.
Francisco A H FonsecaUniversidade Federal de São Paulo Escola Paulista de Medicina - Medicina, São Paulo, SP - Brasil.ORCID 0000-0002-9911-4598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundST-segment elevation myocardial infarction (STEMI) is defined by symptoms accompanied by typical electrocardiogram changes. However, the characterization of ischemic symptoms is unclear, especially in subgroups such as women and the elderly.

objectivesTo analyze the typification of ischemic symptoms, temporal metrics and observe the occurrence of in-hospital outcomes, in the analysis of predictive scores, in patients with STEMI, in a drug-invasive strategy.

methodsStudy involving 2,290 patients. Types of predefined clinical presentations: typical pain, atypical pain, dyspnea, syncope. We measured the time between the onset of symptoms and demand for care and the interval between arrival at the medical unit and thrombolysis. Odds-ratios (OR; CI-95%) were estimated in a regression model. ROC curves were constructed for mortality predictors. The adopted significance level (alpha) was 5%.

resultsWomen had a high prevalence of atypical symptoms; longer time between the onset of symptoms and seeking care; delay between arrival at the emergency room and fibrinolysis. Hospital mortality was 5.6%. Risk prediction by Killip-Kimball classification: AUC: [0.77 (0.73-0.81)] in class ≥II. Subgroups studied [OR (CI-95%)]: women [2.06 (1.42-2.99); p=0.01]; chronic renal failure [3.39 (2.13-5.42); p<0.001]; elderly [2.09 (1.37-3.19) p<0.001]; diabetics [1.55 (1.04-2.29); p=0.02]; obese 1.56 [(1.01-2.40); p=0.04]: previous stroke [2.01 (1.02-3.96); p=0.04] correlated with higher mortality rates.

conclusionDespite higher mortality rates in some subgroups, significant disparity persists in women, with delays in symptom recognition and prompt thrombolysis. We highlight the applicability of the Killip-Kimball score in prediction, regardless of the clinical presentation.

Indexed as

Myocardial InfarctionST Elevation Myocardial InfarctionAgedElectrocardiographyFemaleFibrinolysisHospital MortalityHumans

Identifiers

PMID36453760
PMCPMC9750212

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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.