Evidence map›Paper›PMID 24293347›Full record

ReviewCurrent atherosclerosis reports2014

Genetics and personalized medicine--a role in statin therapy?

Jaideep Patel, Thura Abd, Roger S Blumenthal, Khurram Nasir, H Robert Superko

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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.

Jaideep PatelJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Thura Abd
Roger S Blumenthal
Khurram Nasir
H Robert Superko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenetics uses the genetic variation in metabolic pathways to identify groups of patients who may respond differently in terms of therapeutic and adverse effects. Much clinical interest lies in drug metabolism and the opportunity to improve prescribing efficacy and safety. Owing to widespread use and increasing concern regarding side effects, statins are of significant interest in this area. Among other benefits, statins have been shown to improve lipid profiles and reduce coronary heart disease event rates in many populations. However, variability in drug response exists, and genetic variability may be a contributing factor. Our primary goal is to feature the most important genes involved in lipid metabolism, clinical outcomes, and statin-induced side effects, highlighting genome-wide association studies and the candidate gene approach.

Indexed as

Precision MedicineAnimalsGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

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.