Evidence map›Paper›PMID 41153765›Full record

ArticleBiomedicines2025

Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging.

Kuat Abzaliyev, Madina Suleimenova, Symbat Abzaliyeva, Madina Mansurova, Adai Shomanov, Akbota Bugibayeva, Arai Tolemisova, Almagul Kurmanova, Nargiz Nassyrova

Abstract read
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In one paragraph

Article in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kuat AbzaliyevDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-2452-854X
Madina SuleimenovaDepartment of Big Data and Artificial Intelligence, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0009-0003-8553-5353
Symbat AbzaliyevaDepartment of Big Data and Artificial Intelligence, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-2618-1298
Madina MansurovaDepartment of Big Data and Artificial Intelligence, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.
Adai ShomanovDepartment of Postdoctoral Research, Nazarbayev University, Astana 010000, Kazakhstan.
Akbota BugibayevaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-1417-2711
Arai TolemisovaLLP «International Research Institute for Postgraduate Education», Almaty 050060, Kazakhstan.
Almagul KurmanovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-1859-3903
Nargiz NassyrovaDepartment of Science and International Relations, Non-State Educational Institution «Kazakh-Russian Medical University», Almaty 050040, Kazakhstan.

Funding

Kuat Abzaliyev №AP19677754
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

biomarkersmachine learningparallel coordinatespremature agingprincipal component analysisrandom forestt-SNE

Identifiers

PMID41153765
PMCPMC12561245

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.