Evidence map›Paper›PMID 39877023›Full record

ArticleFrontiers in cardiovascular medicine2024

Pre- and post-pandemic comparisons in cardiovascular markers: a population-based study.

Mayssam Nehme, Maria Eugenia Zaballa, Serguei Rouzinov, Julien Lamour, Silvia Stringhini, Idris Guessous

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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
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.

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

6 authors.

Mayssam NehmeDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Maria Eugenia ZaballaDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Serguei RouzinovDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Julien LamourDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Silvia StringhiniDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Idris GuessousDivision of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic, starting in 2020, raised concerns about potential long-term health impacts, including its effects on cardiovascular health and related biomarkers. This study part of the Bus Santé in Geneva, Switzerland, compared cardiovascular and metabolic profiles pre- (2016-2019) and post-pandemic (2023-2024) among individuals aged 30-75. Methods: Participants completed questionnaires and underwent a clinical visit, including a physical examination and fasting blood test to assess lipid and glycemic profiles. Linear regression was used to estimate results including mean systolic and diastolic blood pressure, cholesterol, and glycemic profiles, after adjusting for age, sex, smoking, and socioeconomic status. Quantile regression models were used to estimate median values. Results: A total of 4,558 participants were included. The study observed modest declines in mean glucose, cholesterol, HDL, and LDL levels post-pandemic, with stable blood pressure. The prevalence and treatment rates of diabetes, hypertension, and dyslipidemia remained consistent. Unawareness of these conditions was stable. Conclusion: Despite initial fears of a pandemic-induced health debt, results indicate healthy cardiovascular profiles post-pandemic, likely driven by improved lifestyle behaviors. This study highlights the importance of monitoring of cardiovascular health and suggests that lifestyle improvements may offset potential adverse pandemic effects in developed nations like Switzerland.

Indexed as

cardiovacsular disease(s)diabetes mellitusepidemiologyhypertensionpopulation-based

Identifiers

PMID39877023
PMCPMC11772414

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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.