Evidence map›Paper›PMID 27021566›Full record

Trial reportJournal of the American Heart Association2016

Individualized Angiotensin-Converting Enzyme (ACE)-Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model.

Rohit M Oemrawsingh, K Martijn Akkerhuis, Laura C Van Vark, W Ken Redekop, Goran Rudez, Willem J Remme, Michel E Bertrand, Kim M Fox, Roberto Ferrari, A H Jan Danser and 5 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Pooled it
  3. Trial
  4. Review
  5. Review
  6. Review
  7. Molecular Imaging of the Heart.Comprehensive Physiology · 2019
    Review
  8. Article
  9. Cardiac molecular imaging to track left ventricular remodeling in heart failure.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 4 countries.

Rohit M OemrawsinghThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands Netherlands Heart Institute, Utrecht, The Netherlands.
K Martijn AkkerhuisThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands.
Laura C Van VarkThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands.
W Ken RedekopInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Goran RudezThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands.
Willem J RemmeSTICARES Cardiovascular Research Foundation, Rhoon, The Netherlands.
Michel E BertrandLille Heart Institute, Lille, France.
Kim M FoxNational Heart and Lung Institute, Imperial College and ICMS, Royal Brompton Hospital, London, United Kingdom.
Roberto FerrariDepartment of Cardiology and LTTA Center, University Hospital of Ferrara and Salvatore Maugeri Foundation, IRCCS, Lumezzane, Italy.
A H Jan DanserDepartment of Pharmacology, Erasmus MC, Rotterdam, The Netherlands.
Moniek de MaatDepartment of Hematology, Erasmus MC, Rotterdam, The Netherlands.
Maarten L SimoonsThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands.
Jasper J BrugtsThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands.
Eric BoersmaThoraxcenter, Department of Cardiology, Erasmus MC and Cardiovascular Research Institute COEUR, Rotterdam, The Netherlands h.boersma@erasmusmc.nl.
PERGENE investigators
Erasmus MC · NLErasmus MC Cancer Institute · NLErasmus University Rotterdam · NLFondazione Salvatore Maugeri · ITLille’s Cardiology Hospital · FRNetherlands Heart Institute · NLRoyal Brompton Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with stable coronary artery disease (CAD) constitute a heterogeneous group in which the treatment benefits by angiotensin-converting enzyme (ACE)-inhibitor therapy vary between individuals. Our objective was to integrate clinical and pharmacogenetic determinants in an ultimate combined risk prediction model. METHODS AND

resultsClinical, genetic, and outcomes data were used from 8726 stable CAD patients participating in the EUROPA/PERGENE trial of perindopril versus placebo. Multivariable analysis of phenotype data resulted in a clinical risk score (range, 0-21 points). Three single-nucleotide polymorphisms (rs275651 and rs5182 in the angiotensin-II type I-receptor gene and rs12050217 in the bradykinin type I-receptor gene) were used to construct a pharmacogenetic risk score (PGXscore; range, 0-6 points). Seven hundred eighty-five patients (9.0%) experienced the primary endpoint of cardiovascular mortality, nonfatal myocardial infarction or resuscitated cardiac arrest, during 4.2 years of follow-up. Absolute risk reductions ranged from 1.2% to 7.5% in the 73.5% of patients with PGXscore of 0 to 2. As a consequence, estimated annual numbers needed to treat ranged from as low as 29 (clinical risk score ≥10 and PGXscore of 0) to 521 (clinical risk score ≤6 and PGXscore of 2). Furthermore, our data suggest that long-term perindopril prescription in patients with a PGXscore of 0 to 2 is cost-effective.

conclusionsBoth baseline clinical phenotype, as well as genotype determine the efficacy of widely prescribed ACE inhibition in stable CAD. Integration of clinical and pharmacogenetic determinants in a combined risk prediction model demonstrated a very wide range of gradients of absolute treatment benefit.

Indexed as

Decision Support TechniquesPharmacogeneticsPolymorphism, Single NucleotidePrecision MedicineAgedAngiotensin-Converting Enzyme InhibitorsCoronary Artery DiseaseCost-Benefit AnalysisDouble-Blind MethodDrug CostsFemaleGenotypeHeart ArrestHumansMaleMiddle AgedAGTR1 protein, humanAngiotensin-Converting Enzyme InhibitorsPerindoprilReceptor, Angiotensin, Type 1Receptor, Bradykinin B1angiotensin‐converting enzyme inhibitorcoronary artery diseaseindividualized therapypharmacogeneticsrisk model

Identifiers

PMID27021566
PMCPMC4943245
OpenAlexW2320392471

What OpenQuestion holds

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Registered trials

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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.