Evidence map›Paper›PMID 26024874›Full record

ArticleBlood2015

Race influences warfarin dose changes associated with genetic factors.

Nita A Limdi, Todd M Brown, Qi Yan, Jonathan L Thigpen, Aditi Shendre, Nianjun Liu, Charles E Hill, Donna K Arnett, T Mark Beasley

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
19.6field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 130 citations in OpenAlex.

  1. SAMe-TTAmerican journal of cardiovascular drugs : drugs, devices, and other interventions · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. From Dialogue to Action: Community Recommendations for Inclusive Research Participation Among Underrepresented Populations.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  7. Article
  8. Article
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  10. SAMe-TTJACC. Asia · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Warfarin Dosing in Patients With CYP2C9*5 Variant Alleles.Clinical pharmacology and therapeutics · 2022
    Article
  17. Article
  18. Review
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Nita A LimdiDepartment of Neurology and.
Todd M BrownDivision of Cardiovascular Diseases, University of Alabama at Birmingham, Birmingham, AL;
Qi YanDepartment of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA;
Jonathan L ThigpenDepartment of Clinical and Administrative Sciences, Notre Dame of Maryland University School of Pharmacy, Baltimore, MD;
Aditi ShendreDepartment of Epidemiology and.
Nianjun LiuDepartment of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, AL; and.
Charles E HillDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, GA.
Donna K ArnettDepartment of Epidemiology and.
T Mark BeasleyDepartment of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, AL; and.
University of Alabama at Birmingham · USEmory University · USNotre Dame of Maryland University · USUniversity of Pittsburgh Medical Center · US

Funding

Predictors of hemorrhage among patients on direct acting oral anticoagulantsR01HL092173 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LIMDI, NITA A · 2008 to 2023
$10.4M
UAB Center for Clinical and Translational Science (CCTS) UL1UL1TR000165 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2012 to 2013
$9.6M
Genome Wide Haplotype Association AnalysisR01GM081488 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LIU, NIANJUN · 2008 to 2012
$1.3M
NCATS NIH HHS UL1 TR000165NCATS NIH HHS UL1TR000165NHLBI NIH HHS R01 HL092173NHLBI NIH HHS R01HL092173NIGMS NIH HHS R01 GM081488NIGMS NIH HHS R01GM081488
6 · The paper itself

Abstract

Warfarin dosing algorithms adjust for race, assigning a fixed effect size to each predictor, thereby attenuating the differential effect by race. Attenuation likely occurs in both race groups but may be more pronounced in the less-represented race group. Therefore, we evaluated whether the effect of clinical (age, body surface area [BSA], chronic kidney disease [CKD], and amiodarone use) and genetic factors (CYP2C9*2, *3, *5, *6, *11, rs12777823, VKORC1, and CYP4F2) on warfarin dose differs by race using regression analyses among 1357 patients enrolled in a prospective cohort study and compared predictive ability of race-combined vs race-stratified models. Differential effect of predictors by race was assessed using predictor-race interactions in race-combined analyses. Warfarin dose was influenced by age, BSA, CKD, amiodarone use, and CYP2C9*3 and VKORC1 variants in both races, by CYP2C9*2 and CYP4F2 variants in European Americans, and by rs12777823 in African Americans. CYP2C9*2 was associated with a lower dose only among European Americans (20.6% vs 3.0%, P < .001) and rs12777823 only among African Americans (12.3% vs 2.3%, P = .006). Although VKORC1 was associated with dose decrease in both races, the proportional decrease was higher among European Americans (28.9% vs 19.9%, P = .003) compared with African Americans. Race-stratified analysis improved dose prediction in both race groups compared with race-combined analysis. We demonstrate that the effect of predictors on warfarin dose differs by race, which may explain divergent findings reported by recent warfarin pharmacogenetic trials. We recommend that warfarin dosing algorithms should be stratified by race rather than adjusted for race.

Indexed as

PharmacogeneticsAlgorithmsAnticoagulantsBlack or African AmericanCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Dose-Response Relationship, DrugFemaleFollow-Up StudiesGenotypeHumansMaleMiddle AgedPolymorphism, GeneticPrognosisAnticoagulantsCYP2C9 protein, humanCYP4F2 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Vitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID26024874
PMCPMC4513254
OpenAlexW1545557258

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.