ArticleJournal of clinical medicine2021
Myocardial Injury in COVID-19 Patients: Association with Inflammation, Coagulopathy and In-Hospital Prognosis.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 21 citations in OpenAlex.
- Impact of myocardial injury on cardiovascular complications in hospitalized patients with COVID-19: insights from Latin America.Frontiers in cardiovascular medicine · 2025Article
- Prognostic impact of CONUT score in older patients with chronic heart failure.BMC geriatrics · 2024Article
- Article
- Association between cardiovascular diseases and COVID-19 pneumonia outcome in Indonesia: a multi-center cohort study.Frontiers in medicine · 2023Article
- SARS-CoV-2 infection and diabetes: Pathophysiological mechanism of multi-system organ failure.World journal of virology · 2022Review
- Heart failure in general and cardiac transplant patients with COVID-19.World journal of cardiology · 2022Review
- A Real Pandora's Box in Pandemic Times: A Narrative Review on the Acute Cardiac Injury Due to COVID-19.Life (Basel, Switzerland) · 2022Review
- Updated meta-analysis of randomized controlled trials on the safety and efficacy of different prophylactic anticoagulation dosing regimens in non-critically ill hospitalized patients with COVID-19.European heart journal. Cardiovascular pharmacotherapy · 2022Article
- Myocardial injury in patients with SARS-CoV-2 pneumonia: Pivotal role of inflammation in COVID-19.European journal of clinical investigation · 2022Observational
- One-year cardiovascular outcomes after coronavirus disease 2019: The cardiovascular COVID-19 registry.PloS one · 2022Article
- Acute and Chronic Effects of COVID-19 on the Cardiovascular System.Journal of cardiovascular development and disease · 2021Review
- Article
- COVID-19 and Heart Failure: From Epidemiology During the Pandemic to Myocardial Injury, Myocarditis, and Heart Failure Sequelae.Frontiers in cardiovascular medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The exact mechanisms leading to myocardial injury in the coronavirus disease 2019 (COVID-19) are still unknown. In this retrospective observational study, we include all consecutive COVID-19 patients admitted to our center. They were divided into two groups according to the presence of myocardial injury. Clinical variables, Charlson Comorbidity Index (CCI), C-reactive protein (CRP), CAC (COVID-19-associated coagulopathy), defined according to the ISTH score, treatment and in-hospital events were collected. Between March and April 2020, 331 COVID-19 patients were enrolled, 72 of them (21.8%) with myocardial injury. Patients with myocardial injury showed a higher CCI score (median (interquartile range), 5 (4-7) vs. 2 (1-4),
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.