ArticleBiomedicines2021
The Most Relevant Factors Affecting the Perioperative Death Rate in Patients with Acute Coronary Syndrome and COVID-19, Based on Annual Follow-Up in the ORPKI Registry.
Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- The Influence of SARS-CoV-2 Infection on Acute Myocardial Infarction Outcomes.Journal of clinical medicine · 2023Article
- High in-hospital mortality and prevalence of cardiogenic shock in patients with ST-segment elevation myocardial infarction and concomitant COVID-19.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2023Article
- Article
- Impact of COVID-19 Pandemic on Patients with ST-Segment-Elevation Myocardial Infarction Complicated by Out-of-Hospital Cardiac Arrest.International journal of environmental research and public health · 2022Article
- Impact of Air Pollution and COVID-19 Infection on Periprocedural Death in Patients with Acute Coronary Syndrome.International journal of environmental research and public health · 2022Article
- The Effect of COVID-19 on the Perioperative Course of Acute Coronary Syndrome in Poland: The Estimation of Perioperative Prognosis and Neural Network Analysis in 243,515 Cases from 2020 to 2021.Journal of clinical medicine · 2022Article
- Effect of COVID-19 pandemic on six-month mortality and clinical outcomes of patients with ST-elevation myocardial infarction.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022Article
- COVID-19 and Post-Acute COVID-19 Syndrome: From Pathophysiology to Novel Translational Applications.Biomedicines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe COVID-19 pandemic is significantly affecting the functioning of the entire healthcare system. The disease itself may be associated with thromboembolic complications. The purpose of this study is to compare patients with acute coronary syndrome (ACS) and patients with ACS who were diagnosed with COVID-19 in terms of their clinical profile, management, treatment complications, and prognosis.
methodsWe analyzed 47,940 cases of patients treated for ACS in 2020, including 44,952 patients (93.8%) who were not diagnosed with COVID-19 and 2988 patients (6.2%) who tested positive for COVID-19.
resultsPatients with COVID-19 were significantly more likely to experience out-of-hospital sudden cardiac arrest (7.9 vs. 1.1%;
conclusionsDespite the pandemic, patients with COVID-19 were treated equally to healthy patients. Efficient organization of the healthcare system allowed the prompt transportation of patients to catheterization laboratories. The study group was characterized by a worse prognosis that was affected by multiple factors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.