Evidence map›Paper›PMID 39809804›Full record

ArticleScientific reports2025

Visit-to-visit lipid variability on long-term major adverse cardiovascular events: a prospective multicentre cohort from the CORE-Thailand registry.

Chutithep Teekaput, Kitti Thiankhaw, Wanwarang Wongcharoen, Narawudt Prasertwitayakij, Siriluck Gunaparn, Arintaya Phrommintikul

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 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
  2. Article
  3. Review
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.

Chutithep Teekaput *Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Kitti Thiankhaw *Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Wanwarang WongcharoenDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110, Inthawaroros Road, Sriphum, Chiang Mai, Chiang Mai, 50200, Thailand.
Narawudt PrasertwitayakijDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110, Inthawaroros Road, Sriphum, Chiang Mai, Chiang Mai, 50200, Thailand.
Siriluck GunaparnDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110, Inthawaroros Road, Sriphum, Chiang Mai, Chiang Mai, 50200, Thailand.
Arintaya PhrommintikulDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110, Inthawaroros Road, Sriphum, Chiang Mai, Chiang Mai, 50200, Thailand. arintaya.p@cmu.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid variability (LV) has been studied and proposed as a potential predictor for cardiovascular disease (CVD), and increased LV may contribute to adverse clinical outcomes. This study aimed to investigate the association of various LV parameters with the risk of long-term major adverse cardiovascular events (MACE) among the Thai population. The study used data from the CORE-Thailand Registry, a prospective multicentre study of adults with high cardiovascular risk or established CVD. The primary outcome was 4-point MACE, including non-fatal myocardial infarction, non-fatal stroke, heart failure hospitalisation, and all-cause mortality. LV was defined as visit-to-visit variability in individual and combined lipid parameters using the coefficient of variation (CV), and patients were stratified into four groups according to CV quartiles. The hazard ratio (HR) and 95% confidence interval (CI), adjusted for potential confounders, were calculated using the Cox proportional hazards model. In a total of 9,390 patients, 6,041 patients with data of intra-individual LV were included. After adjusting covariates in the Cox proportional hazards model, higher LV was independently associated with an increased risk of 4-point MACE (HR for quartiles 2, 3, and 4 of the CV of total cholesterol, compared to first quartile, were 3.63 (95% CI 3.20-4.06, P < 0.001), 6.85 (95% CI 6.23-7.47, P < 0.001), and 8.91 (95% CI 8.18-9.64, P < 0.001), respectively). The present study demonstrated that higher visit-to-visit LV, particularly in the higher quartiles, was independently associated with MACE, MI, and all-cause mortality in the Thai population at high cardiovascular risk or established atherosclerotic CVD, indicating that LV might be useful as a potential risk indicator.

Indexed as

Cardiovascular DiseasesLipidsAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRegistriesRisk FactorsThailandLipidsCoefficient of variationLipid variabilityMajor adverse cardiovascular eventsTotal cholesterol

Identifiers

PMID39809804
PMCPMC11733244

What Socratic holds

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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.