Evidence map›Paper›PMID 41640989›Full record

ArticleJournal of aging research2026

A National Big Data Analysis on Alzheimer's and Other Dementias in Türkiye.

Talip Yi̇ği̇t, Murat Di̇nçer, Naim Ata, M Mahir Ülgü, Şuayip Bi̇ri̇nci̇, M Okan Ayvali

Abstract read
In one paragraph

Article in Journal of aging research, 2026. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Talip Yi̇ği̇tFaculty of Economics and Administrative Sciences, Istanbul 29 Mayıs University, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-4195-9149
Murat Di̇nçerFaculty of Economics and Administrative Sciences, Istanbul 29 Mayıs University, İstanbul, Türkiye.ORCID https://orcid.org/0000-0001-7276-8738
Naim AtaGeneral Directorate of Health Information System, Turkish Ministry of Health, Ankara, Türkiye, saglik.gov.tr.ORCID https://orcid.org/0000-0001-6947-2821
M Mahir ÜlgüCounselor, Turkish Ministry of Health, Ankara, Türkiye, saglik.gov.tr.ORCID https://orcid.org/0000-0003-0825-1851
Şuayip Bi̇ri̇nci̇Vice Minister, Turkish Ministry of Health, Ankara, Türkiye, saglik.gov.tr.ORCID https://orcid.org/0000-0001-8104-6198
M Okan AyvaliComputer Engineer, Independent Researcher, Ankara, Türkiye.ORCID https://orcid.org/0000-0002-0116-5152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Scientific and technological advances are emphasizing biomarker-driven studies to diagnose, classify, and predict the pathogenesis of Alzheimer's disease (AD) and dementias (Ds) with the development of intelligent systems during these symptom-free years. Methods: In this study, the data of people over 65 who were diagnosed with AD/D in 2020 were retrospectively scanned, and the data of 243,073 people identified were analyzed on a total of 32 variables, 6 of which were dependent variables and 26 were independent variables. Results: It is understood from the logistic regression (LR) models that AD/D is a multilayered and extraordinarily complex condition with biological, mental, and social dimensions rather than a single variable or parameter. Discussion: As a main result of the study, it is understood that instead of generalized diagnostic criteria, the appearance and boundaries of AD in society can be determined with specialized technology-based smart systems.

Indexed as

Alzheimer’s diseasedementialogistic regression

Identifiers

PMID41640989
PMCPMC12864165

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Registered trials

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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.