ReviewPostgraduate medical journal2021
COVID-19 and the heart: what we have learnt so far.
Review in Postgraduate medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 15 citations in OpenAlex.
- Plasminogen activator inhibitor-1 levels as an indicator of severity and mortality for COVID-19.Northern clinics of Istanbul · 2023Article
- Potential Effects of Traditional Chinese Medicine on COVID-19 and Cardiac Injury: Mechanisms and Clinical Evidence.Journal of multidisciplinary healthcare · 2023Review
- Immunohistochemical Expression of VDR in Myocardium: Postmortem Evaluation of COVID-19 Patients.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022Article
- Cardiovascular complications of COVID-19 severe acute respiratory syndrome.American journal of cardiovascular disease · 2022Review
- Whole genome sequencing for revealing the point mutations of SARS-CoV-2 genome in Bangladeshi isolates and their structural effects on viral proteins.RSC advances · 2021Article
- COVID-19 Mechanisms in the Human Body-What We Know So Far.Frontiers in immunologyReview
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 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the outbreak of COVID-19 or coronavirus disease caused by severe acute respiratory syndrome coronavirus 2 from Wuhan, China, the cardiology fraternity's interest has been drawn towards the pandemic with a high case fatality rate of 10.5% and 6% in patients with heart disease and hypertension, respectively. One of the postulated mechanisms for this high fatality rate is the possible abundance of ACE type 2 receptor in the cardiovascular system that strongly binds with the spike protein of COVID-19 and helps internalise into the cell resulting in acute cardiac injury (ACI). More than 7% of cases with COVID-19 are reported to have this type of ACI. A tenfold rise in mortality has been observed in patients with COVID-19 who experience a rise in high-sensitivity (hs)-troponin. All most half of the patients who died of COVID-19 had a rise in hs-troponin. More than 15% of cases with COVID-19 experienced different types of arrhythmias. All these statistics denote how important cardiovascular pathology is in patients with COVID-19. Controversies of renin-angiotensin-aldosterone system inhibitors usage in patients with COVID-19 and meticulous handling of case with acute coronary syndrome categorically stresses cardiologists to bust the myths hovering around and set a standard guideline to counterfeit the fatality with timely diagnosis and treatment of COVID-19-induced ACI. In this review, we sought to summarise the current evidence of COVID-19-associated cardiac injury and suggest the implications for its proper diagnosis and treatment.
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.