Evidence map›Paper›PMID 25712136›Full record

ReviewCurrent atherosclerosis reports2015

Genetics of familial hypercholesterolemia.

Ariel Brautbar, Emili Leary, Kristen Rasmussen, Don P Wilson, Robert D Steiner, Salim Virani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
11.5field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  20. Mutational Spectrum ofFrontiers in genetics · 2021
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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 5 institutions in 1 country.

Ariel BrautbarDivision of Genetics, Cook Children's Medical Center, Fort Worth, TX, USA, ariel.brautbar@cookchildrens.org.
Emili Leary
Kristen Rasmussen
Don P Wilson
Robert D Steiner
Salim Virani
Cook Children's Medical Center · USCenter for Human Genetics · USMarshfield Clinic · USMichael E. DeBakey VA Medical Center · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated low-density lipoprotein (LDL) cholesterol and premature cardiovascular disease, with a prevalence of approximately 1 in 200-500 for heterozygotes in North America and Europe. Monogenic FH is largely attributed to mutations in the LDLR, APOB, and PCSK9 genes. Differential diagnosis is critical to distinguish FH from conditions with phenotypically similar presentations to ensure appropriate therapeutic management and genetic counseling. Accurate diagnosis requires careful phenotyping based on clinical and biochemical presentation, validated by genetic testing. Recent investigations to discover additional genetic loci associated with extreme hypercholesterolemia using known FH families and population studies have met with limited success. Here, we provide a brief overview of the genetic determinants, differential diagnosis, genetic testing, and counseling of FH genetics.

Indexed as

Apolipoprotein B-100Cholesterol Ester Storage DiseaseDiagnosis, DifferentialGenetic CounselingGenetic Predisposition to DiseaseGenetic TestingHumansHypercholesterolemiaHyperlipoproteinemia Type IIIntestinal DiseasesLipid Metabolism, Inborn ErrorsPhytosterolsProprotein Convertase 9Proprotein ConvertasesReceptors, LDLSerine EndopeptidasesAPOB protein, humanApolipoprotein B-100LDLR protein, humanPCSK9 protein, humanPhytosterolsProprotein Convertase 9Proprotein ConvertasesReceptors, LDLSerine Endopeptidases

Identifiers

PMID25712136
OpenAlexW1969093165

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.