SynthesisPharmacogenetics and genomics2013

Robust association of the LPA locus with low-density lipoprotein cholesterol lowering response to statin treatment in a meta-analysis of 30 467 individuals from both randomized control trials and observational studies and association with coronary artery disease outcome during statin treatment.

Louise A Donnelly, Natalie R van Zuydam, Kaixin Zhou, Roger Tavendale, Fiona Carr, Anke H Maitland-van der Zee, Maarten Leusink, Anthonius de Boer, Pieter A Doevendans, Folkert W Asselbergs and 5 more

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisRandomized Controlled Trial
In one paragraph

Synthesis in Pharmacogenetics and genomics, 2013. The graph read 1 number from its abstract, feeding 1 cell of the map, but none could be read as for or against, so it casts no vote. It is linked to trial NCT02783469 (Genetics of Diabetes Audit and Research in Tayside Scotland), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

1number the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 8% 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.

Read, but not usablea number the graph found but could not read as for or against

Reduction in LDLc in response to statin treatmentG allele of rs10455872 vs non-G allele (implied)an association or prognostic statement, not a treatment comparison · dyslipidemia, ascvdfeeds one cell of the map
Δ 0.101.46 × 10
RESULTS: We replicated the findings of the RCTs, with the G allele of rs10455872 being associated with a 0.10 mmol/l per allele poorer reduction in LDLc in response to statin treatment, and conducted a meta-analysis with previously published RCTs (P = 1.46 × 10, n = 30 467).

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Investigational compounds×lipids

No readable resultOpen on the map →What to test next →

9 readable studies in this cell: 4 favour the treatment, 3 find no difference, 2 favour the comparator.

Belief with this paper
0.50contested · 4 families support, 4 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
← favours the treatmentfavours the comparator →
0 · no effect
NCT004798822,414 enrolled · 2007
Δ 2.401.30 to 3.40
NCT002899002,340 enrolled · 2006
Δ -13.2-16.8 to -9.60
NCT01105975398 enrolled · 2010
Δ 56.743.6 to 69.8
NCT01218204287 enrolled · 2010
Δ -6.10-23.5 to 11.3
NCT04992065267 enrolled · 2021
Δ -31.9-43.0 to -20.9
NCT01375075165 enrolled · 2011
Δ 74.253.4 to 95.1
NCT00868790118 enrolled · 2009
Δ -0.80-4.60 to 3.10
NCT0134221193 enrolled · 2011
Δ -5.63-25.1 to 13.8
NCT0220216170 enrolled · 2014
Δ 1.030.91 to 1.17

This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.

4 · 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.

NCT02783469 completednot on this map

Genetics of Diabetes Audit and Research in Tayside Scotland (DOLORisk Dundee)

TypeobservationalSponsorUniversity of DundeeRan2004 to 2009Enrolled1,915ConditionsDiabetic Neuropathic PainArmsIdentification of genetic causes of diabetic neuropathic pain
5 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Phenotype standardization for statin-induced myotoxicity.Clinical pharmacology and therapeutics · 2014
    Article
  10. Article
6 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

7 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Louise A DonnellyaMedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee bWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK cDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University dDepartment of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.
Natalie R van Zuydam
Kaixin Zhou
Roger Tavendale
Fiona Carr
Anke H Maitland-van der Zee
Maarten Leusink
Anthonius de Boer
Pieter A Doevendans
Folkert W Asselbergs
Andrew D Morris
Ewan R Pearson
Olaf H Klungel
Alex S F Doney
Colin N A Palmer
University of Dundee · GBUtrecht University · NLAarhus University Hospital · DKNinewells Hospital · GBPharmo Institute · NLUniversity of Oxford · GB

Funding

Medical Research Council G0601261Wellcome Trust 084726Wellcome Trust 084726/Z/08/ZWellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/Z
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

objectivesThe LPA single-nucleotide polymorphism rs10455872 has been associated with low-density lipoprotein cholesterol (LDLc) lowering response to statins in several randomized control trials (RCTs) and is a known coronary artery disease (CAD) marker. However, it is unclear what residual risk of CAD this marker may have during statin treatment.

methodsUsing electronic medical records linked to the GoDARTS genotyped population, we identified over 8000 patients on statins in Tayside, Scotland.

resultsWe replicated the findings of the RCTs, with the G allele of rs10455872 being associated with a 0.10 mmol/l per allele poorer reduction in LDLc in response to statin treatment, and conducted a meta-analysis with previously published RCTs (P = 1.46 × 10, n = 30 467). We showed an association between rs10455872 and CAD in statin-treated individuals and have replicated this finding in the Utrecht Cardiovascular Pharmacogenetics study (combined odds ratio 1.41, 95% confidence interval 1.17-1.68, P = 4.5 × 10, n = 8822) suggesting that statin treatment does not abrogate this well-established genetic risk for CAD. Furthermore, in a Cox proportional hazards model with LDLc measured time dependently, we demonstrated that the relationship between CAD and rs10455872 was independent of LDLc during statin treatment.

conclusionIndividuals with the G allele of rs10455872, which represents approximately one in seven patients, have a higher risk of CAD than the majority of the population even after treatment with statins; and therefore represent a vulnerable group requiring an alternative medication in addition to statin treatment.

Indexed as

Polymorphism, Single NucleotideAnticholesteremic AgentsCholesterol, LDLCohort StudiesCoronary Artery DiseaseDiabetes MellitusFemaleGenetic Predisposition to DiseaseGenetic VariationGenotypeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLinear ModelsLipoprotein(a)MaleObservational Studies as TopicAnticholesteremic AgentsCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsLipoprotein(a)

Identifiers

PMID23903772
PMCPMC4110714
OpenAlexW2074122841

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
Read underepoch 390

Registered trials

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.