Evidence map›Paper›PMID 26977927›Full record

ArticlePloS one2016

A New Pharmacogenetic Algorithm to Predict the Most Appropriate Dosage of Acenocoumarol for Stable Anticoagulation in a Mixed Spanish Population.

Hoi Y Tong, Cristina Lucía Dávila-Fajardo, Alberto M Borobia, Luis Javier Martínez-González, Rubin Lubomirov, Laura María Perea León, María J Blanco Bañares, Xando Díaz-Villamarín, Carmen Fernández-Capitán, José Cabeza Barrera and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Hoi Y TongDepartment of Clinical Pharmacology, La Paz University Hospital, IdiPAZ, Madrid, Spain.
Cristina Lucía Dávila-FajardoDepartment of Clinical Pharmacy, San Cecilio University Hospital, Institute for Biomedical Research, Ibs, Granada, Spain.
Alberto M BorobiaDepartment of Clinical Pharmacology, La Paz University Hospital, IdiPAZ, Madrid, Spain.
Luis Javier Martínez-GonzálezGenomics Unit, Centre for Genomics and Oncological Research (GENYO), Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, PTS, Granada, Spain.
Rubin LubomirovDepartment of Pharmacology, School of Medicine, Autonomous University of Madrid, IdiPAZ, Madrid, Spain.
Laura María Perea LeónDepartment of Clinical Pharmacy, San Cecilio University Hospital, Institute for Biomedical Research, Ibs, Granada, Spain.
María J Blanco BañaresDepartment of Hematology, La Paz University Hospital, Madrid, Spain.
Xando Díaz-VillamarínDepartment of Clinical Pharmacy, San Cecilio University Hospital, Institute for Biomedical Research, Ibs, Granada, Spain.
Carmen Fernández-CapitánDepartment of Internal Medicine, La Paz University Hospital, IdiPAZ, Madrid, Spain.
José Cabeza BarreraDepartment of Clinical Pharmacy, San Cecilio University Hospital, Institute for Biomedical Research, Ibs, Granada, Spain.
Antonio J CarcasDepartment of Clinical Pharmacology, La Paz University Hospital, IdiPAZ, Madrid, Spain.
PGX-ACE Investigators Group
Instituto de Investigación Biosanitaria de Granada · ESUniversidad Autónoma de Madrid · ESHospital Universitario La Paz · ESPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a strong association between genetic polymorphisms and the acenocoumarol dosage requirements. Genotyping the polymorphisms involved in the pharmacokinetics and pharmacodynamics of acenocoumarol before starting anticoagulant therapy would result in a better quality of life and a more efficient use of healthcare resources. The objective of this study is to develop a new algorithm that includes clinical and genetic variables to predict the most appropriate acenocoumarol dosage for stable anticoagulation in a wide range of patients. We recruited 685 patients from 2 Spanish hospitals and 1 primary healthcare center. We randomly chose 80% of the patients (n = 556), considering an equitable distribution of genotypes to form the generation cohort. The remaining 20% (n = 129) formed the validation cohort. Multiple linear regression was used to generate the algorithm using the acenocoumarol stable dosage as the dependent variable and the clinical and genotypic variables as the independent variables. The variables included in the algorithm were age, weight, amiodarone use, enzyme inducer status, international normalized ratio target range and the presence of CYP2C9*2 (rs1799853), CYP2C9*3 (rs1057910), VKORC1 (rs9923231) and CYP4F2 (rs2108622). The coefficient of determination (R2) explained by the algorithm was 52.8% in the generation cohort and 64% in the validation cohort. The following R2 values were evaluated by pathology: atrial fibrillation, 57.4%; valve replacement, 56.3%; and venous thromboembolic disease, 51.5%. When the patients were classified into 3 dosage groups according to the stable dosage (<11 mg/week, 11-21 mg/week, >21 mg/week), the percentage of correctly classified patients was higher in the intermediate group, whereas differences between pharmacogenetic and clinical algorithms increased in the extreme dosage groups. Our algorithm could improve acenocoumarol dosage selection for patients who will begin treatment with this drug, especially in extreme-dosage patients. The predictability of the pharmacogenetic algorithm did not vary significantly between diseases.

Indexed as

AlgorithmsPharmacogeneticsAcenocoumarolAgedAnticoagulantsFemaleHumansMaleMiddle AgedSpainAcenocoumarolAnticoagulants

Identifiers

PMID26977927
PMCPMC4792430
OpenAlexW2433683004

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.