Evidence map›Paper›PMID 41023649›Full record

ArticleLipids in health and disease2025

Lipid profile and the variables associated with control of selected lipid parameters in patients of a large multi-specialist hospital in Poland - the Jurasz Lipid Study (JLS).

Marcin Ziółkowski, Jakub Ratajczak, Karolina Obońska, Piotr Adamski, Maciej Banach, Krzysztof Chlebus, Maciej Grymuza, Klaudyna Grzelakowska, Piotr Jankowski, Jacek Konarski and 14 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

24 authors.

Marcin Ziółkowski *Antoni Jurasz University Hospital No. 1, Bydgoszcz, Poland.
Jakub Ratajczak *Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland. jakub.ratajczak@cm.umk.pl.ORCID http://orcid.org/0000-0002-3059-5338
Karolina ObońskaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0002-0440-2563
Piotr AdamskiCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0001-9719-0987
Maciej BanachFaculty of Medicine, John Paul II Catholic University of Lublin (KUL), Lublin, Poland.ORCID http://orcid.org/0000-0001-6690-6874
Krzysztof ChlebusFirst Department of Cardiology, Medical University of Gdansk, Gdańsk, Poland.ORCID http://orcid.org/0000-0001-6546-0858
Maciej GrymuzaAmerican Heart of Poland, Piła, Poland.
Klaudyna GrzelakowskaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0001-6175-2191
Piotr JankowskiDepartment of Internal Medicine and Geriatric Cardiology, Medical Centre of Postgraduate Education, Warsaw, Poland.ORCID http://orcid.org/0000-0001-6223-8821
Jacek KonarskiAmerican Heart of Poland, Piła, Poland.
Ewa LaskowskaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0002-5940-7951
Piotr NiezgodaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0002-9912-9730
Małgorzata OstrowskaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0002-3377-2950
Elżbieta OzorowskaAmerican Heart of Poland, Piła, Poland.
Przemysław PodhajskiCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0003-0525-1557
Jacek PrzybylskiAmerican Heart of Poland, Piła, Poland.
Grzegorz SkoniecznyDepartment of Cardiology and Intensive Cardiac Care Unit, District Polyclinic Hospital, Torun, Poland.
Bożena SosnowskaDepartment of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Łódź, Poland.ORCID http://orcid.org/0000-0002-8988-4150
Łukasz SzarpakInstitute of Medical Science, Collegium Medicum, The John Paul II, Catholic University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0002-0973-5455
Małgorzata TopolskaAmerican Heart of Poland, Katowice, Poland.
Julia UmińskaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0003-2309-2369
Magdalena KrintusCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0003-2627-7473
Jacek KryśAntoni Jurasz University Hospital No. 1, Bydgoszcz, Poland.
Jacek KubicaCollegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0001-8250-754X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperlipidemia is the most prevalent cardiovascular (CV) risk factors. We aimed to analyze the distribution of lipid parameters and clinical variables associated with elevated and non-elevated selected lipid factors in a cohort of all consecutive patients whose lipid profile was assessed at a multi-specialist clinical center. MATERIALS AND

methodsThis cross-sectional study analyzed electronic medical records of consecutive patients treated between March and November 2024. Lipid parameters measured included: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), apolipoprotein B (apoB), and lipoprotein (a) [Lp(a)]. Non-high-density lipoprotein cholesterol (non-HDL-C) was calculated as TC-HDL-C. We used multivariate analysis to identify factors associated with LDL-C, TG, and Lp(a) concentrations.

resultsA total of 10,597 patients were included in the analysis. The median lipid concentrations (mg/dL) were: TC 162 (IQR 132-198), LDL-C 94 (IQR 69-129), non-HDL-C 112 (IQR 88-146), apoB 78 (IQR 63-99), and Lp(a) 11 (IQR 5-29). Elevated LDL-C > 100 mg/dL was observed in 45.7% of patients, non-HDL-C > 130 mg/dL in 35.1%, and apoB > 100 mg/dL in 23.2%. A discordance between LDL-C and apoB concentrations was present in 23.7% of patients (p < 0.001), while LDL-C/non-HDL-C and apoB/non-HDL-C discordance rates were 13% and 12.6%, respectively (p < 0.001). Patients at very high CV risk had lower TC, LDL-C, non-HDL-C, and apoB concentrations compared to those with low-to-moderate and high CV risk (p < 0.001) and showed the highest median Lp(a) concentration of 13 mg/dL (IQR 5-31; p = 0.01). Goal achievements of LDL-C < 100 mg/dL, TG < 150 mg/dL, and Lp(a) < 30 mg/dL were associated with lipid-lowering treatment [OR 1.32 (95% CI 1.12-1.52)], atrial fibrillation [OR 1.31 (95% CI 1.11-1.54)], chronic coronary syndromes [OR 1.27 (95% CI 1.05-1.52)], smoking [OR 0.78 (95% CI 0.65-0.95)], BMI [OR 0.98 (95% CI 0.96-0.99)], and age [OR 1.006 (95% CI 1.002-1.009)].

conclusionThe highest proportion of patients with results within the normal range was observed for apoB and the lowest for LDL-C. The highest discordance was observed between apoB/LDL-C, with similar discordance rates between LDL-C/non-HDL-C and apoB/non-HDL-C. Lipid profile control was associated with BMI, atrial fibrillation, age, chronic coronary syndrome, aortic stenosis, diabetes, male gender, lipid-lowering therapy, and smoking. These findings highlight the complexity of lipid management.

Indexed as

HyperlipidemiasLipidsAdultAgedApolipoproteins BCardiovascular DiseasesCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansLipoprotein(a)MaleMiddle AgedPolandRisk FactorsApolipoproteins BCholesterol, HDLCholesterol, LDLLipidsLipoprotein(a)TriglyceridesApolipoprotein BCardiovascular riskDyslipidemiaLDL-CLipid profileLipoprotein (a)Non-HDL-C

Identifiers

PMID41023649
PMCPMC12482036

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.