Evidence map›Paper›PMID 32944292›Full record

ReviewCardiac failure review2020

Coronavirus Disease 2019 and Heart Failure: A Multiparametric Approach.

Estefania Oliveros, Yevgeniy Brailovsky, Paul Scully, Evgenia Nikolou, Ronak Rajani, Julia Grapsa

Open access · goldAbstract readReview
In one paragraph

Review in Cardiac failure review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 4 institutions in 2 countries.

Estefania OliverosZena and Michael A Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai New York, NY, US.
Yevgeniy BrailovskyCenter for Advanced Cardiac Care, Columbia University Irving Medical Center New York, NY, US.
Paul ScullyCardiothoracic Department, Guy's and St Thomas' NHS Foundation Trust London, UK.
Evgenia NikolouCardiology Department, Guy's and St Thomas' NHS Foundation Trust London, UK.
Ronak RajaniSchool of Bioengineering and Imaging Sciences, King's College London London, UK.
Julia GrapsaCardiology Department, Guy's and St Thomas' NHS Foundation Trust London, UK.
Guy's and St Thomas' NHS Foundation Trust · GBColumbia University Irving Medical Center · USIcahn School of Medicine at Mount Sinai · USKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a debilitating viral infection and, to date, 628,903 people have died from it, numbers that cannot yet be compared to the 50 million who died in the 1918 flu pandemic. As COVID-19 became better understood, cardiovascular manifestations associated with it were identified. This led to a complete healthcare restructuring with virtual clinics and changes to the triaging of critically ill patients. There are a lot of questions over how COVID-19 affects patients with heart failure (HF) as this condition is a leading cause of cardiovascular death. This review describes the cardiovascular implications of COVID-19 and new practices surrounding the use of telehealth to follow up and triage patients with HF. Current practices supported by medical societies, the role of angiotensin-converting enzyme inhibitors and, finally, a brief note regarding the management of advanced HF patients will also be discussed.

Indexed as

cardiovascular manifestationsCOVID-19heart failuretelehealthviral infection

Identifiers

PMID32944292
PMCPMC7479531
OpenAlexW3049274224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.