Evidence map›Paper›PMID 35386091›Full record

ReviewCurrent atherosclerosis reports2022

Monogenic Versus Polygenic Forms of Hypercholesterolemia and Cardiovascular Risk: Are There Any Differences?

Erin Jacob, Robert A Hegele

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Polygenic Risk of Hypertriglyceridemia Is Modified by BMI.International journal of molecular sciences · 2022
    Article
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

2 authors at 1 institution in 1 country.

Erin JacobDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond Street, London, ON, N6A 5B7, Canada.
Robert A HegeleDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond Street, London, ON, N6A 5B7, Canada. hegele@robarts.ca.ORCID 0000-0003-2861-5325
Western University · CA

Funding

CIHR
6 · The paper itself

Abstract

purpose of reviewCommon DNA variants with small effects work together to create susceptibility to polygenic hypercholesterolemia. Some clinicians wonder whether patients with polygenic hypercholesterolemia have less severe clinical features compared to patients with monogenic familial hypercholesterolemia (FH) caused by rare deleterious variants. RECENT

findingsStudies performed in cohorts of patients with both monogenic and polygenic hypercholesterolemia have assessed lipid levels, non-invasive markers of atherosclerosis, and clinical end points, including major adverse cardiovascular events. The totality of data suggests a gradient across genotypes. Specifically, individuals with polygenic hypercholesterolemia have deleterious phenotypes that are intermediate in severity between those in patients with monogenic hypercholesterolemia and in control subjects. Although clinical variables in patients with polygenic hypercholesterolemia are less severe than in those with monogenic hypercholesterolemia, cardiovascular risk is still very high in these patients compared to controls. Patients with polygenic hypercholesterolemia must be treated assertively.

Indexed as

Cardiovascular DiseasesHypercholesterolemiaHeart Disease Risk FactorsHumansMultifactorial InheritanceRisk FactorsAtherosclerotic cardiovascular diseaseFamilial hypercholesterolemiaLow-density lipoproteinLow-density lipoprotein receptorSingle-nucleotide polymorphism

Identifiers

PMID35386091
OpenAlexW4226072456

What OpenQuestion holds

Textmetadata
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.