Evidence map›Paper›PMID 29457840›Full record

ArticleBritish journal of clinical pharmacology2018

Population pharmacokinetics and pharmacogenomics of apixaban in Japanese adult patients with atrial fibrillation.

Satoshi Ueshima, Daiki Hira, Yuuma Kimura, Ryo Fujii, Chiho Tomitsuka, Takuya Yamane, Yohei Tabuchi, Tomoya Ozawa, Hideki Itoh, Seiko Ohno and 3 more

3 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.4field-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.

NCT04247919 terminatednot on this mapstarted 2020, after this paper: background citation

Investigation of Genetic Variations on Patients With Adverse Drug Events While on Direct Oral Anticoagulants (DOACs)

TypeobservationalSponsorCipherome, Inc.Ran2020 to 2020Enrolled3ConditionsDrug-Related Side Effects and Adverse Reactions
NCT04580589 completednot on this mapstarted 2021, after this paper: background citation

Investigation of Genetic Variations on Patients With Adverse Events While on Direct Oral Anticoagulants (DOACs)

TypeobservationalSponsorCipherome, Inc.Ran2021 to 2022Enrolled210ConditionsDrug-Related Side Effects and Adverse Reactions, Treatment Failure
NCT04597593 completednot on this mapstarted 2020, after this paper: background citation

Correlation Between Bleeding Complication and Treatment Failure of DOAC and Its Predictions Based on Cipherome's Pharmacogenomic Technology

TypeobservationalSponsorCipherome, Inc.Ran2020 to 2022Enrolled200ConditionsDrug-Related Side Effects and Adverse Reactions, Iatrogenic Disorder
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Drug design, development and therapy · 2023
    Article
  19. Article
  20. Article
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

13 authors at 3 institutions in 1 country.

Satoshi UeshimaLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.
Daiki HiraDepartment of Pharmacy, Shiga University of Medical Science Hospital, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Yuuma KimuraLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.
Ryo FujiiLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.
Chiho TomitsukaLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.
Takuya YamaneLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.
Yohei TabuchiDepartment of Pharmacy, Shiga University of Medical Science Hospital, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Tomoya OzawaDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Hideki ItohDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Seiko OhnoDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Minoru HorieDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Tomohiro TeradaDepartment of Pharmacy, Shiga University of Medical Science Hospital, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
Toshiya KatsuraLaboratory of Clinical Pharmaceutics and Therapeutics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan.ORCID 0000-0002-7789-8803
Ritsumeikan University · JPShiga University of Medical Science · JPShiga University of Medical Science Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to analyse the effects of genetic polymorphisms in drug transporters and metabolizing enzymes, and clinical laboratory data on the pharmacokinetic parameters of apixaban.

methodsData were collected from 81 Japanese patients with atrial fibrillation. Pharmacogenomic data were stratified by ABCB1, ABCG2 and CYP3A5 polymorphisms. The pharmacokinetic profile of apixaban was described by a one-compartment model with first-order absorption. Population pharmacokinetic analysis was conducted using a nonlinear mixed effect modelling (NONMEM™) program.

resultsThe nonlinear relationship between oral clearance (CL/F) of apixaban and creatinine clearance (Ccr) was observed. The population mean of CL/F for a typical patient (Ccr value of 70 ml min

conclusionThe present study suggests that the ABCG2 421A/A and CYP3A5*3 genotypes and renal function are intrinsic factors affecting apixaban pharmacokinetics. These findings may provide useful information for precision medicine using apixaban, to avoid the risk of adverse reactions.

Indexed as

Pharmacogenomic VariantsAdultAgedAged, 80 and overAsian PeopleATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily G, Member 2Atrial FibrillationCytochrome P-450 CYP3AFactor Xa InhibitorsFemaleGene FrequencyGenotypeHumansJapanKidneyABCB1 protein, humanABCG2 protein, humanapixabanATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily G, Member 2CYP3A5 protein, humanCytochrome P-450 CYP3AFactor Xa InhibitorsNeoplasm ProteinsPyrazolesPyridonescytochrome P450drug transportersgenetic polymorphismpharmacogenomicspopulation analysis

Identifiers

PMID29457840
PMCPMC5980466
OpenAlexW2792204245

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.