Evidence map›Paper›PMID 36289901›Full record

ReviewBiomedicines2022

Familial Hypercholesterolaemia as a Predisposing Factor for Atherosclerosis.

Anastasia V Poznyak, Larisa Litvinova, Paolo Poggio, Alexander N Orekhov, Alexandra A Melnichenko

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 4 institutions in 2 countries.

Anastasia V PoznyakInstitute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia.ORCID 0000-0002-1516-1320
Larisa LitvinovaCenter for Immunology and Cellular Biotechnology, Immanuel Kant Baltic Federal University, 6 Gaidara Street, Kaliningrad 236001, Russia.ORCID 0000-0001-5231-6910
Paolo PoggioUnit for Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138 Milan, Italy.ORCID 0000-0002-7225-3379
Alexander N OrekhovInstitute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia.ORCID 0000-0002-3318-4681
Alexandra A MelnichenkoLaboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, Moscow 125315, Russia.
Research Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences · RUCentro Cardiologico Monzino · ITImmanuel Kant Baltic Federal University · RUInstitute for Atherosclerosis Research · RU

Funding

Russian Science Foundation 22-65-00005
6 · The paper itself

Abstract

Lipid metabolism alterations are an important component of the pathogenesis of atherosclerosis. However, it is now clear that the atherogenesis process involves more than one mechanism, and more than one condition can predispose this condition. Multiple risk factors contribute to the atherosclerosis initiation and define its course. Familial hypercholesterolaemia is a disorder of lipid metabolism that often leads to atherosclerosis development. As is clear from the disease name, the hallmark is the increased levels of low-density lipoprotein cholesterol (LDL-C) in blood. This creates favourable conditions for atherogenesis. In this review, we briefly described the familial hypercholesterolaemia and summarized data on the relationship between familial hypercholesterolaemia and atherosclerosis.

Indexed as

atherosclerosischolesterolhypercholesterolaemialipid

Identifiers

PMID36289901
PMCPMC9599590
OpenAlexW4306920771

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.