Evidence map›Paper›PMID 35022364›Full record

ReviewJournal of atherosclerosis and thrombosis2022

How Can We Identify Very High-Risk Heterozygous Familial Hypercholesterolemia?

Yu Kataoka, Sayaka Funabashi, Takahito Doi, Mariko Harada-Shiba

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of atherosclerosis and thrombosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. 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

4 authors at 3 institutions in 2 countries.

Yu KataokaDepartment of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre.
Sayaka FunabashiDepartment of Cardiology, Kyorin University School of Medicine.
Takahito DoiDepartment of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre.
Mariko Harada-ShibaDepartment of Molecular Innovation in Lipidology, National Cerebral & Cardiovascular Centre.
Gentofte Hospital · DKKyorin University · JPNational Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterozygous familial hypercholesterolemia (HeFH) is a genetic disorder that elevates low-density lipoprotein cholesterol and increases the risk of premature atherosclerotic cardiovascular disease (ASCVD). However, despite their atherogenic lipid profiles, the cardiovascular risk of HeFH varies in each individual. Their variety of phenotypic features suggests the need for better risk stratification to optimize their therapeutic management. The current review summarizes three potential approaches, including (1) definition of familial hypercholesterolemia (FH)-related risk scores, (2) genetic analysis, and (3) biomarkers. The International Atherosclerosis Society has recently proposed a definition of severe FH to identify very high-risk HeFH subjects according to their clinical characteristics. Furthermore, published studies have shown the association of FH-related genetic phenotypes with ASCVD, which indicates the genetic analysis's potential to evaluate individual cardiovascular risks. Biomarkers reflecting disease activity have been considered to predict the formation of atherosclerosis and the occurrence of ASCVD in HeFH subjects. Incorporating these risk stratifications will be expected to allocate adequate intensity of lipid-lowering therapies in HeFH subjects, which ultimately improves cardiovascular outcomes.

Indexed as

AtherosclerosisHypercholesterolemiaHyperlipoproteinemia Type IIBiomarkersCholesterol, LDLHumansBiomarkersCholesterol, LDLAtherosclerotic cardiovascular diseaseBiomarkerGene mutationHeterozygous familial hypercholesterolemiaRisk scoreSevere FH

Identifiers

PMID35022364
PMCPMC9174089
OpenAlexW4205660172

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.