Evidence map›Paper›PMID 15811254›Full record

ReviewCurrent atherosclerosis reports2005

Pharmacogenetics of response to statins: where do we stand?

Anke-Hilse Maitland-van der Zee, Eric Boerwinkle

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2005. 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
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic determinants of statin intolerance.Lipids in health and disease · 2007
    Article
  7. Review
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

2 authors at 1 institution in 1 country.

Anke-Hilse Maitland-van der ZeeHuman Genetics Center, Health Science Center at Houston, University of Texas, 1200 Hermann Pressler, Houston, TX 77030, USA.
Eric Boerwinkle
The University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is one of the leading causes of death, especially in developed countries. Blood cholesterol lowering by way of statin therapy is a common risk-lowering therapy. The risk reduction for coronary artery disease for patients using statins is 27%. These reductions, however, are average effects for all patients included in the trials. There is notable interindividual variation in response to statins, and the origins of this variation are poorly understood. Pharmacogenetics seeks to determine the role of genetic factors in variation of drug response. In patients with primary hypercholesterolemia, 23 studies have examined the effects of genetic polymorphisms at 20 different loci on the lipid response to statin treatment, and 18 studies examined genetic polymorphisms involved in the benefits of statin therapy in the prevention of cardiovascular disease. Even though many studies have been performed, few results have been replicated. It is our contention that larger sample sizes and consideration of multiple genes are needed in the field of pharmacogenetics of statin response.

Indexed as

PharmacogeneticsCarrier ProteinsCholesterol Ester Transfer ProteinsCholesterol, LDLCoronary Artery DiseaseGlycoproteinsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaPolymorphism, GeneticCarrier ProteinsCETP protein, humanCholesterol Ester Transfer ProteinsCholesterol, LDLGlycoproteinsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID15811254
OpenAlexW1990191228

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.