Evidence map›Paper›PMID 33918620›Full record

ArticleJournal of clinical medicine2021

A Similar Lifetime CV Risk and a Similar Cardiometabolic Profile in the Moderate and High Cardiovascular Risk Populations: A Population-Based Study.

Małgorzata Chlabicz, Jacek Jamiołkowski, Wojciech Łaguna, Paweł Sowa, Marlena Paniczko, Magda Łapińska, Małgorzata Szpakowicz, Natalia Drobek, Andrzej Raczkowski, Karol A Kamiński

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 16 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

10 authors at 2 institutions in 1 country.

Małgorzata ChlabiczDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.ORCID 0000-0002-5113-5672
Jacek JamiołkowskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.
Wojciech ŁagunaFaculty of Computer Science, Bialystok University of Technology, 15-259 Białystok, Poland.ORCID 0000-0001-5502-8463
Paweł SowaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.ORCID 0000-0002-8357-5816
Marlena PaniczkoDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.ORCID 0000-0001-5977-0745
Magda ŁapińskaDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.
Małgorzata SzpakowiczDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.
Natalia DrobekDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.
Andrzej RaczkowskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.ORCID 0000-0002-7410-2136
Karol A KamińskiDepartment of Population Medicine and Lifestyle Diseases Prevention, Medical University of Białystok, 15-259 Białystok, Poland.ORCID 0000-0002-9465-2581
Medical University of Białystok · PLBialystok University of Technology · PL

Funding

Medical University of Bialystok, Poland SUB/1/00/19/001/1201Municipal Office in Bialystok, Poland W/UB/DSP/1640/UMBIAŁYSTOK/2017
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is a major, worldwide problem that remains the dominant cause of premature mortality in the world, and increasing rates of dysglycaemia are a major contributor to its development. The aim of this study was to investigate the cardiometabolic profile among patients in particular cardiovascular risk classes, and to estimate their long term CV risk.

methodsA total of 931 individuals aged 20-79 were included. The study population was divided into CV risk classes according to the latest European Society of Cardiology recommendations.

resultsMost of the analyzed anthropometric, body composition and laboratory parameters did not differ between the moderate and high CV risk participants. Interestingly, estimating the lifetime risk of myocardial infarction, stroke or CV death, using the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people, yielded similar results in moderate and high CV risk classes.

conclusionThe participants who belonged to moderate and high CV risk classes had very similar unfavorable cardiometabolic profiles, which may result in similar lifetime CV risk. This may imply the need for more aggressive pharmacological and non-pharmacological management of CV risk factors in the moderate CV risk population, who are often unaware of their situation. New prospective population studies are necessary to establish the true cardiovascular risk profiles in a changing society.

Indexed as

cardiometabolic profilecardiovascular riskpopulation studies

Identifiers

PMID33918620
PMCPMC8069041
OpenAlexW3154640418

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.