Evidence map›Paper›PMID 30595241›Full record

ArticleIndian heart journal2018

Value of VKORC1 (-1639G>A) rs9923231 genotyping in predicting warfarin dose: A replication study in South Indian population.

S Harikrishnan, Linda Koshy, Ram Subramanian, G Sanjay, C P Vineeth, A Jayakumaran Nair, G M Nair, P R Sudhakaran

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

S HarikrishnanDepartment of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695 011, Kerala, India. Electronic address: drharikrishnan@outlook.com.
Linda KoshyInter-University Centre for Genomics and Gene Technology, Department of Biotechnology, University of Kerala, Trivandrum, 695 581, Kerala, India. Electronic address: lindakoshy@gmail.com.
Ram SubramanianDepartment of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695 011, Kerala, India. Electronic address: ramani231@gmail.com.
G SanjayDepartment of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695 011, Kerala, India. Electronic address: drsanjayganesh@gmail.com.
C P VineethDepartment of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695 011, Kerala, India. Electronic address: vineethcp2868@gmail.com.
A Jayakumaran NairInter-University Centre for Genomics and Gene Technology, Department of Biotechnology, University of Kerala, Trivandrum, 695 581, Kerala, India. Electronic address: jekksnair@gmail.com.
G M NairInter-University Centre for Genomics and Gene Technology, Department of Biotechnology, University of Kerala, Trivandrum, 695 581, Kerala, India. Electronic address: gmnair51@gmail.com.
P R SudhakaranInter-University Centre for Genomics and Gene Technology, Department of Biotechnology, University of Kerala, Trivandrum, 695 581, Kerala, India. Electronic address: prslab@gmail.com.
Sree Chitra Thirunal Institute for Medical Sciences and Technology · INUniversity of Kerala · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWarfarin is the most commonly prescribed oral anticoagulant, although having a narrow therapeutic index and wide interindividual variability. The aim of this study was to replicate the utility of VKORC1 (-1639G>A) rs9923231 genotyping in predicting the mean daily dose and to evaluate its ability to categorize warfarin-treated patients to high-, intermediate-, or low-dose categories in the South Indian population. MATERIALS AND

methodsA cohort of 222 warfarin-treated patients was genotyped using restriction fragment length polymorphism method. The influence of the rs9923231 polymorphism on the variations in the mean daily dose was compared using one-way analysis of variance and linear regression analysis. Discriminatory ability of the rs9923231 polymorphism to group the patients into ordered dose categories was assessed by estimating the proportional odds ratios using the ordered logit regression analysis.

resultsThe frequency of AA genotype and A allele in the study sample was found to be 1.8% and 9.23%, respectively, which was similar to reports from other South Indian populations. The mean daily dose required to achieve the optimum international normalized ratio was significantly lower in AA homozygous genotype carriers (3.99 ± 1.67 mg/day) and GA heterozygous (4.26 ± 1.57 mg/day) compared to the GG genotype carriers (5.51 ± 2.13 mg/day), p = 0.003. The A allele carriers (GA+AA genotypes) had a 3.23 higher odds of being grouped as a low-dose requiring category compared to non-carriers (95% CI 1.49-6.98, p = 0.003).

conclusionsThese preliminary results strongly support the use of VKORC1 (-1639G>A) rs9923231 polymorphism for genetically guided initial warfarin dosing in South Indian patients with heart valve replacements.

Indexed as

Polymorphism, Single NucleotideAdministration, OralAllelesAnticoagulantsDNADose-Response Relationship, DrugFemaleGenotypeHumansIncidenceIndiaMaleMiddle AgedThromboembolismTreatment OutcomeVitamin K Epoxide ReductasesAnticoagulantsDNAVitamin K Epoxide ReductasesVKORC1 protein, humanWarfarinPharmacogeneticsPolymorphismRegressionVKORC1Warfarin

Identifiers

PMID30595241
PMCPMC6310074
OpenAlexW2884039685

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.