Evidence map›Paper›PMID 37491049›Full record

ArticleCMAJ open

Nonfasting remnant cholesterol and cardiovascular disease risk prediction in Albertans: a prospective cohort study.

Olivia R Weaver, Jacqueline A Krysa, Ming Ye, Jennifer E Vena, Dean T Eurich, Spencer D Proctor

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 14 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

6 authors at 1 institution in 1 country.

Olivia R WeaverSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
Jacqueline A KrysaSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
Ming YeSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
Jennifer E VenaSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
Dean T EurichSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta.
Spencer D ProctorSchool of Public Health (Weaver, Ye, Eurich) and Metabolic and Cardiovascular Diseases Laboratory (Krysa, Proctor), University of Alberta, Edmonton, Alta.; Alberta's Tomorrow Project (Vena), Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alta. spencer.proctor@ualberta.ca.
Alberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEuropean studies have shown that nonfasting remnant cholesterol can be a strong predictor of cardiovascular disease risk and may contribute to identifying residual risk; however, Canadian data are lacking on nonfasting remnant cholesterol. In this study, we aimed to determine the relation between nonfasting remnant cholesterol, low-density lipoprotein (LDL) cholesterol and cardiovascular disease among people in Alberta.

methodsIn this retrospective analysis, we used data from Alberta's Tomorrow Project, a large prospective cohort that enrolled Albertans aged 35-69 years (2000-2015). Participants with consent to data linkage, with complete nonfasting lipid data and without existing cardiovascular disease were included. The nonfasting remnant cholesterol and LDL cholesterol relation with a composite cardiovascular disease outcome of major incident cardiovascular diagnoses, ascertained by linking to Alberta Health databases, was determined by multivariable logistic regression, adjusting for age, sex, statin use, comorbidities, and LDL cholesterol or remnant cholesterol.

resultsThe final sample of 13 988 participants was 69.4% female, and the mean age was 61.8 (standard deviation [SD] 9.7) years. Follow-up time was approximately 15 years. Mean remnant cholesterol was significantly higher among individuals with versus without cardiovascular disease (0.87 [SD 0.40] mmol/L v. 0.78 [SD 0.38] mmol/L, standardized mean difference [SMD] -0.24), and mean LDL cholesterol was significantly lower (2.69 [SD 0.93] mmol/L v. 2.88 [SD 0.84] mmol/L, SMD 0.21). The odds of incident composite cardiovascular disease were significantly increased per mmol/L increase in remnant cholesterol (adjusted odds ratio [OR] 1.48, 95% confidence interval [CI] 1.27-1.73) but significantly decreased per mmol/L increase in LDL cholesterol (adjusted OR 0.73, 95% CI 0.68-0.79).

interpretationIn this large Albertan cohort of predominantly older females, nonfasting remnant cholesterol had a positive relation with cardiovascular disease incidence, whereas LDL cholesterol did not. These findings support the clinical utility of measuring non-fasting remnant cholesterol to detect cardiovascular disease risk.

Identifiers

PMID37491049
PMCPMC10374248
OpenAlexW4385257347

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.