Evidence map›Paper›PMID 22547143›Full record

Trial reportThe pharmacogenomics journal2013

Added value of pharmacogenetic testing in predicting statin response: results from the REGRESS trial.

F H van der Baan, M J Knol, A H Maitland-van der Zee, J J Regieli, E P A van Iperen, A C G Egberts, O H Klungel, D E Grobbee, J W Jukema

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in The pharmacogenomics journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pravastatin for lowering lipids.The Cochrane database of systematic reviews · 2023 · on this map
    Pooled it
  2. Trial
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

9 authors.

F H van der BaanJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. f.vanderbaan@umcutrecht.nl
M J Knol
A H Maitland-van der Zee
J J Regieli
E P A van Iperen
A C G Egberts
O H Klungel
D E Grobbee
J W Jukema

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It was investigated whether pharmacogenetic factors, both as single polymorphism and as gene-gene interactions, have an added value over non-genetic factors in predicting statin response. Five common polymorphisms were selected in apolipoprotein E, angiotensin-converting enzyme, hepatic lipase and toll-like receptor 4. Linear regression models were built and compared on R(2) to estimate the added value of single polymorphisms and gene-gene interactions. The selected polymorphisms and the gene-gene interactions had a small added value in predicting change in low-density lipoprotein cholesterol levels (LDL-c) as response to statins over the non-genetic predictors (P=0.104), and also in predicting LDL-c in non-treated patients (P=0.016). Moreover, four gene-gene interactions with statin therapy were identified. The added value of genetic factors over non-genetic variables is for the greater part produced by gene-gene interactions. This underlines the importance to examine gene-gene interactions in future (pharmaco)genetic research.

Indexed as

Epistasis, GeneticAmino AcidsApolipoproteins EBiomarkers, PharmacologicalCholesterol, LDLGenotypeHumansLinear ModelsLipasePeptidyl-Dipeptidase APredictive Value of TestsToll-Like Receptor 4Amino AcidsApolipoproteins EBiomarkers, PharmacologicalCholesterol, LDLLipaseLIPC protein, humanPeptidyl-Dipeptidase AstatineToll-Like Receptor 4

Identifiers

PMID22547143

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.