Evidence map›Paper›PMID 36685029›Full record

ReviewJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2022

Cardiovascular implications of the COVID-19: Management of complications and drug safety concerns.

Maliheh Hamidian, Ramin Ansari, Mohammad Mehdi Zarshenas, Farzaneh Foroughinia

Open access · goldAbstract readReview
In one paragraph

Review in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Maliheh HamidianDepartment of Clinical Pharmacy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Ramin AnsariDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Mehdi ZarshenasMedicinal Plants Processing Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Farzaneh ForoughiniaDepartment of Clinical Pharmacy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Shiraz University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has rapidly spread worldwide and has been infected more than 219 million individuals with 4.55 million deaths worldwide as of September 2021, causing a pandemic. Preexisting cardiovascular (CV) comorbidities such as hypertension, diabetes, and coronary artery disease seem to be associated with greater severity of infection, worse prognosis, and higher mortality. Moreover, COVID-19 can contribute to CV complications, including acute myocardial injury, arrhythmia, acute coronary syndrome, and venous thromboembolism, emphasizing the importance of precocious detection and implementation of optimal therapeutic strategies. This review provides an overview of evidence-based data of CV complications of COVID-19, focusing on their management strategies, as well as potential cardiac adverse effects and drug interactions, due to off-label and investigational drugs used for the treatment of COVID-19.

Indexed as

Adverse effectscomplicationscoronavirus disease 2019disease managementheart

Identifiers

PMID36685029
PMCPMC9854922
OpenAlexW4313128310

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.