Evidence map›Paper›PMID 35052492›Full record

ArticleGenes2022

Establishing the Mutational Spectrum of Hungarian Patients with Familial Hypercholesterolemia.

László Madar, Lilla Juhász, Zsuzsanna Szűcs, Lóránt Kerkovits, Mariann Harangi, István Balogh

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 8 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 2 institutions in 1 country.

László MadarDivision of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Lilla JuhászDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Zsuzsanna SzűcsDivision of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-2836-3383
Lóránt KerkovitsDepartment of Nephrology, South-Budapest Center Hospital St. Imre Teaching Hospital, 1115 Budapest, Hungary.
Mariann HarangiDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-9761-9595
István BaloghDivision of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-3397-2829
University of Debrecen · HUSzent Imre Egyetemi Oktatókórház · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is one of the most common autosomal, dominantly inherited diseases affecting cholesterol metabolism, which, in the absence of treatment, leads to the development of cardiovascular complications. The disease is still underdiagnosed, even though an early diagnosis would be of great importance for the patient to receive proper treatment and to prevent further complications. No studies are available describing the genetic background of Hungarian FH patients. In this work, we present the clinical and molecular data of 44 unrelated individuals with suspected FH. Sequencing of five FH-causing genes (

Indexed as

DNA Copy Number VariationsGenetic MarkersGenetic Predisposition to DiseaseMutationAdolescentAdultAgedApolipoprotein B-100FemaleHigh-Throughput Nucleotide SequencingHumansHungaryHyperlipoproteinemia Type IIMaleMiddle AgedPhenotypeApolipoprotein B-100Genetic MarkersPCSK9 protein, humanProprotein Convertase 9Receptors, LDLAPOBfamilial hypercholesterolemiaFHHungaryLDLRnext-generation sequencingNGS

Identifiers

PMID35052492
PMCPMC8775528
OpenAlexW4206549885

What OpenQuestion holds

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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.