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 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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
11 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
Ainur ManapovaCenter for Scientific Research and Competence, Civil Aviation Academy, Zakarpatskaya St., 44, Almaty 050039, Kazakhstan.
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
Saule DoskozhayevaLLP "Scientific Research International Institute of Postgraduate Education", Almaty 050043, Kazakhstan.
Akbota BugibayevaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-1417-2711
Almagul KurmanovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.
Diana SundetovaDepartment of Internal Medicine, Faculty of Medicine and Healthcare, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0003-2343-869X
Merey 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
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.
Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical-Biochemical Parameters. · full record | OpenQuestion