Evidence map›Paper›PMID 35361995›Full record

ArticleThe pharmacogenomics journal2022

Combining familial hypercholesterolemia and statin genetic studies as a strategy for the implementation of pharmacogenomics. A multidisciplinary approach.

Luis Ramudo-Cela, Sara Santana-Martínez, Maite García-Ramos, Mariano Bergamino, Diego García-Giustiniani, Paula Vélez-Vieitez, Jose Luis Hernández-Hernández, Carmen García-Ibarbia, Pablo González-Bustos, Patricia Ruíz-Martín and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 4 institutions in 1 country.

Luis Ramudo-CelaHealth in Code S.L., Scientific Department, A Coruña, Spain. lramudocela@gmail.com.ORCID 0000-0002-3266-0121
Sara Santana-MartínezHealth in Code S.L., Scientific Department, A Coruña, Spain.
Maite García-RamosHealth in Code S.L., Scientific Department, A Coruña, Spain.
Mariano BergaminoHealth in Code S.L., Scientific Department, A Coruña, Spain.
Diego García-GiustinianiHealth in Code S.L., Scientific Department, A Coruña, Spain.
Paula Vélez-VieitezHealth in Code S.L., Laboratory Department, A Coruña, Spain.ORCID 0000-0001-9394-2547
Jose Luis Hernández-HernándezDepartment of Internal Medicine, Hospital Universitario Marqués de Valdecilla-IDIVAL, University of Cantabria, Santander, Spain.ORCID 0000-0002-6585-8847
Carmen García-IbarbiaDepartment of Internal Medicine, Hospital Universitario Marqués de Valdecilla-IDIVAL, University of Cantabria, Santander, Spain.
Pablo González-BustosServicio de Medicina Interna, Hospital Virgen de las Nieves, Granada, España.ORCID 0000-0001-6730-1308
Patricia Ruíz-MartínDepartment of Cardiology, Hospital Regional Universitario de Málaga, Málaga, Spain.ORCID 0000-0003-0640-9272
Jaime González-LozanoDepartment of Cardiology, Hospital Regional Universitario de Málaga, Málaga, Spain.
Luis Santomé-CollazoHealth in Code S.L., Laboratory Department, A Coruña, Spain.
Andrea Grana-FernandezHealth in Code S.L., Bioinformatics Department, A Coruña, Spain.
Pablo Cabaleiro-CerviñoHealth in Code S.L., Bioinformatics Department, A Coruña, Spain.
Martín OrtízHealth in Code S.L., Scientific Department, A Coruña, Spain.
Lorenzo Monserrat-IglesiasHealth in Code S.L., Scientific Department, A Coruña, Spain.ORCID 0000-0001-5776-0623
Universidade da Coruña · ESHospital Regional Universitario de Málaga · ESUniversidad de Cantabria · ESHospital Universitario Virgen de las Nieves · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic process of familial hypercholesterolemia frequently involves the use of genetic studies. Patients are treated with lipid-lowering drugs, frequently statins. Although pharmacogenomic clinical practice guidelines focusing on genotype-based statin prescription have been published, their use in routine clinical practice remains very modest.We have implemented a new NGS strategy that combines a panel of genes related to familial hypercholesterolemia with genomic regions related to the pharmacogenomics of lipid-lowering drugs described in clinical practice guidelines and in EMA and FDA drug labels. A multidisciplinary team of doctors, biologists, and pharmacists creates a clinical report that provides diagnostic and therapeutic findings using a knowledge management and clinical decision support system, as well as an algorithm for treatment selection.For 12 months, a total of 483 genetic diagnostic studies for familial hypercholesterolemia were carried out, of which 221 (45.8%) requested a complementary pharmacogenomic test. Of these 221 patients, 66.5% were carriers of actionable variants in any of the studied pharmacogenomic pathways: 46.6% of patients in one pathway, 19.0% in two pathways, and 0.9% in three pathways. 45.7% of patients could have a response to atorvastatin different from that of the reference population, 45.7% for simvastatin and lovastatin, 29.0% for fluvastatin, and 6.7% patients for pitavastatin.This implementation approach facilitates the incorporation of pharmacogenomic studies in clinical care practice, it does not add complexity nor additional steps to laboratory processes, and improves the pharmacotherapeutic process of patients.

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsHyperlipoproteinemia Type IIAtorvastatinHumansPharmacogeneticsSimvastatinAtorvastatinHydroxymethylglutaryl-CoA Reductase InhibitorsSimvastatin

Identifiers

PMID35361995
OpenAlexW4221104270

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.