Evidence map›Paper›PMID 40218200›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning.

Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva and 2 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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.

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
Kuat AbzaliyevDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-2452-854X
Madina MansurovaDepartment of Big Data and Artificial Intelligence, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-9680-2758
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
Almagul KurmanovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.
Guzel TokhtakulinovaDepartment of Strategic Research, Science Center of Obstetrics, Gynecology and Perinatology, Almaty 050020, Kazakhstan.ORCID 0009-0005-4479-3641
Akbota BugibayevaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-1417-2711
Diana SundetovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-2343-869X
Merei AbdykassymovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-5365-5508
Ulzhas SagalbayevaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0001-7903-9116
Raushan BitemirovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-5228-6018
Zhadyra YerkinDepartment of Big Data and Artificial Intelligence, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.

Funding

Kuat Abzaliyev АР19677754
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecardiovascular agingimmunological markersmachine learningpredictive modeling

Identifiers

PMID40218200
PMCPMC11988897

What Socratic 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 Socratic graph.