Evidence map›Paper›PMID 29606886›Full record

ArticlePharmacogenomics and personalized medicine2018

Influence of

Alexander Valerevich Kryukov, Dmitry Alekseevich Sychev, Denis Anatolevich Andreev, Kristina Anatolievna Ryzhikova, Elena Anatolievna Grishina, Anastasia Vladislavovna Ryabova, Mark Alekseevich Loskutnikov, Valeriy Valerevich Smirnov, Olga Dmitrievna Konova, Irina Andreevna Matsneva and 1 more

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Role ofJournal of clinical medicine · 2024
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. An Exploratory Association Analysis ofJournal of personalized medicine · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Effects ofPharmacogenomics and personalized medicine · 2018
    Article
  19. Observational
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

11 authors at 4 institutions in 1 country.

Alexander Valerevich KryukovRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Dmitry Alekseevich SychevRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Denis Anatolevich AndreevDepartment of General Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.
Kristina Anatolievna RyzhikovaRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Elena Anatolievna GrishinaRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Anastasia Vladislavovna RyabovaRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Mark Alekseevich LoskutnikovL.A. Vorohobov City Clinical Hospital, Moscow, Russia.
Valeriy Valerevich SmirnovNRC Institute of Immunology FMBA of Russia, Moscow, Russia.
Olga Dmitrievna KonovaRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Irina Andreevna MatsnevaDepartment of General Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.
Pavel Olegovich BochkovRussian Medical Academy of Continuous Professional Education, Moscow, Russia.
Russian Medical Academy of Continuous Professional Education · RUSechenov University · RUCity Clinical Hospital · RUInstitute of Immunology and Physiology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDifficulties in non-vitamin K anticoagulant (NOAC) administration in acute stroke can be associated with changes in pharmacokinetic parameters of NOAC such as biotransformation, distribution, and excretion. Therefore, obtaining data on pharmacokinetics of NOAC and factors that affect it may help develop algorithms for personalized use of this drug class in patients with acute cardioembolic stroke. PATIENTS AND

methodsPharmacokinetics of apixaban in patients with acute stroke was studied earlier by Kryukov et al. The present study enrolled 17 patients with cardioembolic stroke, who received 5 mg of apixaban. In order to evaluate the pharmacokinetic parameters of apixaban, venous blood samples were collected before taking 5 mg of apixaban (point 0) and 1, 2, 3, 4, 10, and 12 hours after drug intake. Blood samples were centrifuged at 3000 rpm for 15 minutes. Separate plasma was aliquoted in Eppendorf tubes and frozen at -70°C until analysis. High-performance liquid chromatography mass spectrometry analysis was used to determine apixaban plasma concentration. Genotyping was performed by real-time polymerase chain reaction. CYP3A isoenzyme group activity was evaluated by determining urinary concentration of endogenous substrate of the enzyme and its metabolite (6-β-hydroxycortisol to cortisol ratio). Statistical analysis was performed using SPSS Statistics version 20.0. The protocol of this study was reviewed and approved by the ethics committee; patients or their representatives signed an informed consent.

results

conclusionQuestions such as depending on genotyping results for apixaban dosing and implementation of express genotyping in clinical practice remain open for NOACs. Large population studies are required to clarify the clinical significance of genotyping for this drug class.

Indexed as

apixabanatrial fibrillationcardioembolic strokenon-vitamin K anticoagulantspharmacogeneticspharmacokinetics

Identifiers

PMID29606886
PMCPMC5868588
OpenAlexW2791798453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.