Evidence map›Paper›PMID 37646976›Full record

ReviewCurrent atherosclerosis reports2023

The Intersection Between COVID-19, Cardiovascular Disease, and Diet: a Review.

Tanusha S Tholla, Caleigh M Sawicki, Shilpa N Bhupathiraju

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Tanusha S ThollaChobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA.
Caleigh M SawickiDepartment of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Room 338, 181 Longwood Ave, Boston, MA, 02115, USA.
Shilpa N BhupathirajuDepartment of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Room 338, 181 Longwood Ave, Boston, MA, 02115, USA. nhsnb@channing.harvard.edu.ORCID 0000-0003-0173-9248
Brigham and Women's Hospital · USBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiovascular disease (CVD) is one of the top comorbidities associated with COVID-19-both pre- and post-infection. This review examines the relationships between COVID-19 infection and cardiovascular health, with a specific focus on diet as an important modifiable risk factor. RECENT

findingsPandemic era studies of individuals battling and recovering from COVID-19 infection suggest a strong link between metabolic diseases, such as CVD, and SARS-CoV-2 infection susceptibility and severity. Other studies also demonstrate how COVID-19 lockdown policies and quarantine recommendations led to drastic lifestyle changes associated with increased CVD risk, such as reduced physical activity and lower diet quality. At the same time, new research is emerging that plant-based diets, which have previously been associated with lower CVD risk, may lower COVID-19 infection rates and severity of symptoms. Diet, COVID-19, and CVD intersect through complex biological mechanisms and related behavioral factors evidenced by clinical trials and epidemiological studies. Diet may be a critical tool for modifying risk of communicable and non-communicable conditions in the post-pandemic world.

Indexed as

Cardiovascular DiseasesCOVID-19Communicable Disease ControlDietHumansSARS-CoV-2Cardiovascular diseaseCOVID-19DietNutrition

Identifiers

PMID37646976
OpenAlexW4386272343

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.