Evidence map›Paper›PMID 37213312›Full record

ReviewAmerican journal of cardiovascular disease2023

Neurological implications of cardiac compromise in COVID-19.

Josef Finsterer

Open access · greenAbstract readReview
In one paragraph

Review in American journal of cardiovascular disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Josef FinstererNeurology and Neurophysiology Center Postfach 20, Vienna, Austria.
University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere is increasing evidence that particularly in patients with severe SARS-CoV-2 infection (COVID-19) the heart can be primarily or secondarily compromised. Neurological disease as a complication of SARS-CoV-2 associated cardiac disease is conceivable. This review aims at summarising and discussing previous and recent advances in the clinical presentation, pathophysiology, diagnosis, treatment, and outcome of cardiac complications and its implications on the brain of SARS-CoV-2 infected patients.

methodLiterature review using appropriate search terms and applying inclusion and exclusion criteria.

resultsCardiac complications in SARS-CoV-2 infected patients not only include myocardial injury, myocarditis, Takotsubo cardiomyopathy (TTS), coagulation abnormalities, heart failure, cardiac arrest, arrhythmias, acute myocardial infarction, or cardiogenic shock, but a number of other more rarely occurring cardiac abnormalities. Additionally considered should be endocarditis due to superinfection, viral or bacterial pericarditis, aortic dissection, pulmonary embolism from the right atrium, ventricle or outflow tract, and cardiac autonomic denervation. Cardiac damage due to side effects from the anti-COVID medication should not be neglected. Several of these conditions may be complicated by ischemic stroke, intracerebral bleeding, or dissection of cerebral arteries.

conclusionThe heart can be definitively affected in severe SARS-CoV-2 infection. Heart disease in COVID-19 may be complicated by stroke, intracerebral bleeding, or dissection of cerebral arteries. Treatment of SARS-CoV-2 associated cardiac disease is not at variance from that of cardiac disease without this infection.

Indexed as

cardiacCOVID-19endocarditismyocarditismyocardiumSARS-CoV-2

Identifiers

PMID37213312
PMCPMC10193247
OpenAlexW4377220011

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.