Evidence map›Paper›PMID 36289824›Full record

ArticleBiomedicines2022

Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin.

Anna Ikonnikova, Anastasia Anisimova, Sergey Galkin, Anastasia Gunchenko, Zhabikai Abdukhalikova, Marina Filippova, Sergey Surzhikov, Lidia Selyaeva, Valery Shershov, Alexander Zasedatelev and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Several antiplatelet gene SNPs, their haplotypes andFrontiers in cardiovascular medicine · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Neural Correlates and Molecular Mechanisms of Memory and Learning.International journal of molecular sciences · 2024
    Article
  11. Review
  12. Article
  13. Using theBrain sciences · 2023
    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

12 authors at 2 institutions in 1 country.

Anna IkonnikovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-8434-5916
Anastasia AnisimovaDepartment of Neurology, Neurosurgery and Medical Genetics, Faculty of Medicine, Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
Sergey GalkinDepartment of Neurology, Neurosurgery and Medical Genetics, Faculty of Medicine, Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
Anastasia GunchenkoDepartment of Neurology, Neurosurgery and Medical Genetics, Faculty of Medicine, Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
Zhabikai AbdukhalikovaDepartment of Neurology, Neurosurgery and Medical Genetics, Faculty of Medicine, Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
Marina FilippovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-9454-5938
Sergey SurzhikovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Lidia SelyaevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Valery ShershovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Alexander ZasedatelevEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-0760-0562
Maria AvdoninaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Tatiana NasedkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-2642-4202
Engelhardt Institute of Molecular Biology · RUPirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aspirin resistance (AR) is a pressing problem in current ischemic stroke care. Although the role of genetic variations is widely considered, the data still remain controversial. Our aim was to investigate the contribution of genetic features to laboratory AR measured through platelet aggregation with arachidonic acid (AA) and adenosine diphosphate (ADP) in ischemic stroke patients. A total of 461 patients were enrolled. Platelet aggregation was measured via light transmission aggregometry. Eighteen single-nucleotide polymorphisms (SNPs) in

Indexed as

aspirin resistancebiochipCatBoostgenetic markersgeneticsischemic strokemachine learningpharmacogeneticsplatelet aggregationSNP

Identifiers

PMID36289824
PMCPMC9599820
OpenAlexW4306149428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.