Evidence map›Paper›PMID 37297730›Full record

ArticleHealthcare (Basel, Switzerland)2023

Telemedicine for Optimizing Secondary Prevention in Coronary Artery Bypass Grafting Patients during COVID-19 Pandemic.

Luminița Iliuță, Andreea Gabriella Andronesi, Marius Rac-Albu, Mădălina-Elena Rac-Albu, Alexandru Scafa-Udriște, Horațiu Moldovan, Florentina Ligia Furtunescu, Bogdan Constantin Rădulescu, Eugenia Panaitescu

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Luminița IliuțăMedical Informatics and Biostatistics Department, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0002-1439-5002
Andreea Gabriella AndronesiNephrology Department, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0002-5590-7879
Marius Rac-AlbuMedical Informatics and Biostatistics Department, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0002-5239-9792
Mădălina-Elena Rac-AlbuMedical Informatics and Biostatistics Department, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Alexandru Scafa-UdrișteDepartment of Cardio-Thoracic Pathology, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Horațiu MoldovanDepartment of Cardio-Thoracic Pathology, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Florentina Ligia FurtunescuDepartment of Public Health and Management, Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-4441-1325
Bogdan Constantin RădulescuDepartment of Cardio-Thoracic Pathology, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Eugenia PanaitescuMedical Informatics and Biostatistics Department, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0002-0083-8992
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: The COVID-19 pandemic has introduced a major disruption to the delivery of secondary prevention measures in patients with established atherosclerotic cardiovascular disease (CVD). It required a rapid and widespread adoption of new medical services, including the use of telemedicine. This study aimed to examine the impact of COVID-19 on secondary prevention in patients with coronary artery bypass grafting (CABG) and to evaluate the effectiveness of the telemedicine application for the implementation of lifestyle change measures, remote monitoring, and treatment regimen adjustment; (2) Methods: This prospective study on 194 CABG patients evaluated three consecutive years between 2019 and 2022 in the pre-pandemic period by face-to-face visits and during the pandemic by teleconsultations or hybrid follow-up. Variables of interest were compared between four periods: pre-pandemic-pre-P (1 March 2019-29 February 2020), lockdown-Lock (1 March-31 August 2020), restrictive-pandemic-Restr-P (1 September 2020-28 February 2021), and relaxed-pandemic-Rel-P (1 March 2021-1 March 2022). (3) Results: The average values of the lipidogram, blood sugar, and uric acid increased during Lock and Restr-P, but, through the use of teleprevention, they returned to the pre-pandemic level or even below this level. The exception was blood sugar, which remained high in Rel-P. The number of newly diagnosed patients with diabetes also increased, with most of them having moderate forms of COVID. During Lock and Res-P, the percentage of obese, smoking, or hypertensive patients increased, but, through the use of teleprevention, we managed to reduce it, although it remained slightly higher than the pre-pandemic level. Physical activity decreased in the first year of the pandemic, but, in Rel-P, CABG patients became more active than before the pandemic (4) Conclusions: The use of telemedicine for cardiovascular secondary prevention allowed us to not only continue seeing CABG patients but, also, to adjust their medication and to expand cardiovascular preventive counseling and testing with favorable results, especially during the second year of the pandemic.

Indexed as

cardiovascular preventioncardiovascular riskcholesterolcoronary artery bypass graftingCOVID-19remote monitoringsecondary preventiontelemedicineteleprevention

Identifiers

PMID37297730
PMCPMC10252220
OpenAlexW4380225188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.