Evidence map›Paper›PMID 33213727›Full record

ArticleJournal of the American College of Cardiology2020

The Effect of Blood Lipids on the Left Ventricle: A Mendelian Randomization Study.

Nay Aung, Mihir M Sanghvi, Stefan K Piechnik, Stefan Neubauer, Patricia B Munroe, Steffen E Petersen

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  3. Heart failure etiology and lipoprotein subfractions: Insight from the SMARTEX-HF study.International journal of cardiology. Heart & vasculature · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Nay AungWilliam Harvey Research Institute, Queen Mary University of London, London, United Kingdom; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom. Electronic address: n.aung@qmul.ac.uk.
Mihir M SanghviWilliam Harvey Research Institute, Queen Mary University of London, London, United Kingdom; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
Stefan K PiechnikDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Patricia B MunroeWilliam Harvey Research Institute, Queen Mary University of London, London, United Kingdom; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.
Steffen E PetersenWilliam Harvey Research Institute, Queen Mary University of London, London, United Kingdom; National Institute for Health Research Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
William Harvey Research Institute · GBUniversity of Oxford · GBQueen Mary University of London · GB

Funding

British Heart Foundation PG/14/89/31194Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust 203553Wellcome Trust 203553/Z/16/Z
6 · The paper itself

Abstract

backgroundCholesterol and triglycerides are among the most well-known risk factors for cardiovascular disease.

objectivesThis study investigated whether higher low-density lipoprotein (LDL) cholesterol and triglyceride levels and lower high-density lipoprotein cholesterol level are causal risk factors for changes in prognostically important left ventricular (LV) parameters.

methodsOne-sample Mendelian randomization (MR) of 17,311 European individuals from the UK Biobank with paired lipid and cardiovascular magnetic resonance data was performed. Two-sample MR was performed by using summary-level data from the Global Lipid Genetics Consortium (n = 188,577) and UK Biobank Cardiovascular Magnetic Resonance substudy (n = 16,923) for sensitivity analyses.

resultsIn 1-sample MR analysis, higher LDL cholesterol was causally associated with higher LV end-diastolic volume (β = 1.85 ml; 95% confidence interval [CI]: 0.59 to 3.14 ml; p = 0.004) and higher LV mass (β = 0.81 g; 95% CI: 0.11 to 1.51 g; p = 0.023) and triglycerides with higher LV mass (β = 1.37 g; 95% CI: 0.45 to 2.3 g; p = 0.004). High-density lipoprotein cholesterol had no significant association with any LV parameter. Similar results were obtained by using 2-sample MR. Observational analyses were frequently discordant with those derived from MR.

conclusionsMR analysis demonstrates that LDL cholesterol and triglycerides are associated with adverse changes in cardiac structure and function, in particular in relation to LV mass. These findings suggest that LDL cholesterol and triglycerides may have a causal effect in influencing cardiac morphology in addition to their established role in atherosclerosis.

Indexed as

AgedCholesterol, LDLFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedProspective StudiesTriglyceridesCholesterol, LDLTriglyceridescardiac remodelingcardiovascular riskcholesterollipidsMendelian randomization

Identifiers

PMID33213727
PMCPMC7613249
OpenAlexW3104476956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.