Evidence map›Paper›PMID 41388300›Full record

ArticleLipids in health and disease2025

A longitudinal analysis of population-level lipid and apolipoprotein trends over two decades: descriptive assessment using patient medians in a Swedish tertiary care center.

Kristina Sejersen, Anders O Larsson

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 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Kristina SejersenDepartment of Medical Sciences, Uppsala University, Uppsala University Hospital, entrance 61, Uppsala, 75185, Sweden. kristina.sejersen@unilabs.com.
Anders O LarssonDepartment of Medical Sciences, Uppsala University, Uppsala University Hospital, entrance 61, Uppsala, 75185, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains the leading cause of mortality worldwide. Lipid biomarkers, including direct low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein B (ApoB), and apolipoprotein A1 (ApoA1), are essential tools for cardiovascular risk assessment. Monitoring patient-derived median values over time may provide insights into population health and analytical performance. This study provides a descriptive analysis of population-level lipid results spanning nearly two decades. While trends in patient medians may support quality assurance, these data do not constitute a validated approach to risk prediction or definitive analytical monitoring due to the absence of outcome and treatment information.

methodsWe retrospectively analyzed routine clinical laboratory data from Uppsala University Hospital, Sweden, covering January 2006-December 2024. A total of 890,948 LDL-C, 867,446 HDL-C, 64,787 ApoB, and 65,500 ApoA1 results were included. Measurements were performed on Abbott Architect systems until 2021, after which assays were transferred to Roche Cobas Pro platforms. Statistical analyses included trend evaluation, variability assessment, and seasonal pattern analysis.

resultsWomen had modestly higher LDL-C and HDL-C levels compared to men, while ApoB values were similar between sexes. ApoA1 was notably higher in women. Over the 19-year period, median LDL-C declined from 3.18 to 2.62 mmol/L, consistent with improved lipid management. HDL-C remained stable (1.36-1.45 mmol/L), while ApoB and ApoA1 concentrations showed minimal change. Variability was highest for LDL-C (median CV 6.4%) and lowest for ApoA1 (median CV 2.6%). Seasonal variation was negligible across all analytes. Testing volumes increased substantially for LDL-C and HDL-C, whereas ApoB and ApoA1 requests peaked around 2010 and later declined.

conclusionsLong-term monitoring of median patient values demonstrates declining LDL-C, stable HDL-C, and consistent ApoB/ApoA1 ratios with minimal seasonal effects. These findings highlight the potential utility of patient medians as supplementary quality indicators and for population-level lipid surveillance.

Indexed as

Apolipoprotein A-IApolipoprotein B-100Cardiovascular DiseasesCholesterol, HDLCholesterol, LDLLipidsAdultAgedApolipoproteins BBiomarkersFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesAPOA1 protein, humanAPOB protein, humanApolipoprotein A-IApolipoprotein B-100Apolipoproteins BBiomarkersCholesterol, HDLCholesterol, LDLLipidsApoA1ApoBCardiovascular diseasesClinical laboratory techniquesHDL-CLDL-CLipidsLipoproteinsPopulation surveillanceQuality control

Identifiers

PMID41388300
PMCPMC12817607

What Socratic 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 Socratic graph.