Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.
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
15 authors.
Anastasiia LomonosovaWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-2875-6155
Daria GognievaWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Aleksandr SuvorovWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-2224-0019
Artemy SilantyevWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0001-8360-1415
Alina AbashevaWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0009-0000-5008-7704
Yana VasinaWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Magomed AbdullaevWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0001-9369-9890
Anna NartovaWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Nikolay EroshchenkoLaboratory of Molecular Modeling and Chemistry of Natural Compounds, Institute of Molecular Theranostics, Scientific and Technological Park of Biomedicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0001-8677-1946
Viktoriia KazakovaLaboratory of Pathophysiology Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Roman KomarovDepartment of Cardiovascular Surgery, Institute for Professional Education, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Andrey DzyundzyaDepartment of Cardiovascular Surgery, Institute for Professional Education, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Elena DanilovaLaboratory of Molecular Modeling and Chemistry of Natural Compounds, Institute of Molecular Theranostics, Scientific and Technological Park of Biomedicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0001-9079-872X
Dmitry ShchekochikhinDepartment of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute for Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-8209-2791
Philipp KopylovWorld-Class Research Center «Digital Biodesign and Personalized Healthcare», I.M. Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Funding
Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers "Digital biodesign and personalized healthcare" 075-15-2022-304.Russian Science Foundation 23-75-01134
6 · The paper itself
Abstract
According to the World Health Organization, ischemic stroke is the second leading cause of death in the world. Frequently, it is caused by brachiocephalic artery (BCA) atherosclerosis. Timely detection of atherosclerosis and its unstable course can allow for a timely response to potentially dangerous changes and reduce the risk of vascular complications. Omics technologies allow us to identify new biomarkers that we can use in diagnosing diseases. This research included 90 blood plasma samples. The study group comprised 52 patients with severe atherosclerotic lesions BCA, and the control group comprised 38 patients with no BCA atherosclerosis. Targeted and panoramic lipidomic profiling of their blood plasma was carried out. There was a statistically significant difference (
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.
The Blood Plasma Lipidomic Profile in Atherosclerosis of the Brachiocephalic Arteries. · full record | OpenQuestion