Evidence map›Paper›PMID 27514463›Full record

ReviewClinics in laboratory medicine2016

Laboratory Medicine in the Clinical Decision Support for Treatment of Hypercholesterolemia: Pharmacogenetics of Statins.

Gualberto Ruaño, Richard Seip, Andreas Windemuth, Alan H B Wu, Paul D Thompson

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinics in laboratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 1 country.

Gualberto RuañoGenomas Inc., 67 Jefferson Street, Hartford, CT 06106, USA. Electronic address: g.ruano@genomas.net.
Richard SeipSanofi Genzyme, 500 Kendall Street, Cambridge, MA 02142, USA.
Andreas WindemuthCyclica Inc., 10 Jonathan Street, Belmont, MA 02478, USA.
Alan H B WuDepartment of Laboratory Medicine, San Francisco General Hosptial, 1001 Potrero Avenue, San Francisco, CA 94110, USA.
Paul D ThompsonDivision of Cardiology, Hartford Hospital, 80 Seymour Street, Hartford, CT 06106, USA.
Hartford Financial Services (United States)Hartford Hospital · USSan Francisco General Hospital · USSanofi (United States) · US

Funding

System for DNA-Guided Optimization and Personalization of Statin TherapyR44GM085201 · NIGMS · GENOMAS, INC. · PI RUANO, GUALBERTO · 2008 to 2013
$2.8M
NIGMS NIH HHS R44 GM085201
6 · The paper itself

Abstract

Statin responsiveness is an area of great research interest given the success of the drug class in the treatment of hypercholesterolemia and in primary and secondary prevention of cardiovascular disease. Interrogation of the patient's genome for gene variants will eventually guide anti-hyperlipidemic intervention. In this review, we discuss methodological approaches to discover genetic markers predictive of class-wide and drug-specific statin efficacy and safety. Notable pharmacogenetic findings are summarized from hypothesis-free genome wide and hypothesis-led candidate gene association studies. Physiogenomic models and clinical decision support systems will be required for DNA-guided statin therapy to reach practical use in medicine.

Indexed as

Pharmacogenomic VariantsCardiovascular DiseasesDecision Support Systems, ClinicalGenotypeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaLaboratoriesPhenotypePrimary PreventionSecondary PreventionHydroxymethylglutaryl-CoA Reductase InhibitorsCoenzyme Q(10)Lipid metabolismMyalgiaMyopathyPCSK9 inhibitorsPharmacogeneticsPhysiogenomicsStatins

Identifiers

PMID27514463
PMCPMC4987540
OpenAlexW2463467772

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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.