Observational studyPloS one2019
Total cholesterol variability and risk of atrial fibrillation: A nationwide population-based cohort study.
Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Lipid Variability and Risk of Cardiovascular Diseases and All-Cause Mortality: A Systematic Review and Meta-Analysis of Cohort Studies.Nutrients · 2022Pooled it
- Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- Impact of Remnant Cholesterol on the Risk for End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort Study.Diabetes & metabolism journal · 2025Article
- Association between glycaemic status and the risk of acromegaly: a nationwide population-based cohort study.BMJ open · 2025Article
- Impact of type 2 diabetes on the risk of cardiovascular disease and cardiovascular mortality in patients with non-alcoholic fatty liver disease: a nationwide population-based study.BMJ public health · 2025Article
- Cholecystectomy Increases the Risk of Chronic Kidney Disease: A Nationwide Longitudinal Cohort Study.Journal of clinical medicine · 2024Article
- Prediction of cardiovascular disease risk based on major contributing features.Scientific reports · 2023Article
- Total Cholesterol Variability and the Risk of Osteoporotic Fractures: A Nationwide Population-Based Cohort Study.Journal of personalized medicine · 2023Article
- Association of total cholesterol variability with risk of venous thromboembolism: A nationwide cohort study.PloS one · 2023Article
- Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes.Diabetes & metabolism journal · 2022Review
- Greater variability in lipid measurements associated with cardiovascular disease and mortality: A 10-year diabetes cohort study.Diabetes, obesity & metabolism · 2020Article
- Higher visit-to-visit total cholesterol variability is associated with lower cognitive function among middle-aged and elderly Chinese men.Scientific reports · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLong-term variability of cardiometabolic risk factors have been suggested as the risk factors for cardiovascular disease and mortality. However, the effect of long-term variability of total cholesterol (TC) on incident atrial fibrillation (AF) has not been examined. METHODS AND
findingsWe explored whether visit-to-visit TC variability are associated with the risk of incident AF in 160,165 Korean adults, using the population-based Korean National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) database, over a median duration of 8.4 years. TC variability was measured as coefficients of variance (TC-CV), standard deviation (TC-SD), and variability independent of the mean (TC-VIM). Kaplan-Meier analysis demonstrated a decreased disease-free probability in the highest quartile group of TC variability compared to that in the other groups. In the multivariate Cox proportional hazard analysis, the risk of AF increased significantly in the highest quartile group of TC variability. After multivariate adjustment for confounding variables including mean TC levels, the hazard ratio for incident AF was 1.15 (95% confidence interval 1.05-1.25; P = 0.0035) when comparing the highest with the lowest TC variability quartile (TC-CV). These relationships were consistent with TC variability defined using TC-SD or TC-VIM. Subgroup analyses, including age, sex, body mass index, and cardiometabolic disorders, showed similar results.
conclusionsThe present study is the first to demonstrate that high TC variability was associated with an increased risk of AF.
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Registered trials
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.