Evidence map›Paper›PMID 25466603›Full record

ArticleClinical pharmacokinetics2015

How to use warfarin assays in patient management: analysis of 437 warfarin measurements in a clinical setting.

Kyunghoon Lee, Hye In Woo, Oh Young Bang, Young-Keun On, June Soo Kim, Soo-Youn Lee

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Article in Clinical pharmacokinetics, 2015. 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
1.6field-weighted citation impact, top 17% 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, 5 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

6 authors at 2 institutions in 1 country.

Kyunghoon LeeDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
Hye In Woo
Oh Young Bang
Young-Keun On
June Soo Kim
Soo-Youn Lee
Samsung Medical Center · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesApproximately 50% of inter-individual variation in warfarin dose requirements is attributed to the polymorphisms of cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex, subunit 1 (VKORC1) genotypes. What contributes to the remaining 50% of variation remains unclear. The aim of this study is to assess the clinical usefulness of monitoring plasma warfarin concentrations. We examined genotypic and clinical factors influencing high and low warfarin concentrations.

methodsWe included 325 Korean patients who received warfarin therapy for more than 7 days whose plasma warfarin concentrations were measured and whose genotypes for VKORC1 and CYP2C9 were determined. The plasma concentrations of total warfarin and 7-hydroxywarfarin were determined by high-performance liquid chromatography-tandem mass spectrometry.

resultsUsing 437 warfarin measurements obtained from 325 patients, we found a correlation between plasma warfarin concentration and warfarin dose (r (2) = 0.356; P < 0.001) and a significant difference in the warfarin/7-hydroxywarfarin ratios of the CYP2C9*1/*1 and CYP2C9*1/*3 genotypes combined with drugs that inhibited warfarin (P = 0.003). Insufficient warfarin dose and patient noncompliance were the most common causes of low warfarin concentrations (<0.54 µg/mL, <5th percentile). Genetic factors that cause pharmacodynamic resistance (e.g., VKORC1 genotype) and thus require high warfarin doses were the most common causes of high warfarin concentrations (>1.85 µg/mL, >95th percentile).

conclusionMonitoring warfarin concentrations along with the prothrombin time-international normalized ratio may be clinically useful for managing patients with long-term warfarin therapy and identifying factors contributing to inter- or intra-individual variability such as genetic polymorphisms, underlying diseases, drug interactions with warfarin, and patient compliance.

Indexed as

AgedAged, 80 and overAnticoagulantsCytochrome P-450 CYP2C9Dose-Response Relationship, DrugDrug MonitoringFemaleGenotypeHumansInternational Normalized RatioLinear ModelsMaleMiddle AgedPolymorphism, Single NucleotideRetrospective StudiesTandem Mass Spectrometry7-hydroxywarfarinAnticoagulantsCYP2C9 protein, humanCytochrome P-450 CYP2C9Vitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID25466603
OpenAlexW1990749521

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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.