Evidence map›Paper›PMID 41476782›Full record

ArticleClinical interventions in aging2025

Epidemiology and Risk Factors Characteristics of Alzheimer's Disease in Southwestern China: A Cross-Sectional Study.

Yuhang Zhu, Hongli Liu, Miao He, Zucai Xu, Lv Sun, Zhenyu Wu, Xi Niu, Shihui Huang, Jiafu Wang, Xueqin Ran

Abstract read
In one paragraph

Article in Clinical interventions in aging, 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

10 authors.

Yuhang Zhu *Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People's Republic of China.
Hongli Liu *Key Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.ORCID 0009-0006-1314-9893
Miao HeDepartment of Anesthesiology, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, 610081, People's Republic of China.ORCID 0000-0003-2385-794X
Zucai XuDepartment of Neurology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Lv SunDepartment of Imaging, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Zhenyu WuKey Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Xi NiuKey Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People's Republic of China.
Shihui HuangKey Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People's Republic of China.
Jiafu WangKey Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People's Republic of China.
Xueqin RanKey Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University, Guiyang, Guizhou, 550025, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To address the regional heterogeneity of Alzheimer's disease, a large-scale epidemiological study of 12,421 elderly individuals was conducted in southwestern China to depict its unique risk characteristics. Methods: A total of 12,421 subjects were selected via cluster sampling from southwestern China after low quality data were filtered out. On the basis of investigations and medical imaging examinations, three groups were distinguished: the AD, mild cognitive impairment (MCI), and normal control groups. The risk factors for AD and MCI were analysed via a multivariate logistic regression model. Results: This study identifies a high burden of cognitive impairment in southwestern China, with 22.07% of adults aged ≥60 years exhibiting cognitive decline and 5.81% diagnosed with Alzheimer's disease rates surpassing national and global averages. Key risk factors included age >80 years, female sex, low education, rural residence, surgical history, and urological comorbidities. These findings underscore the need for region-specific prevention strategies, prioritizing older, less-educated rural women through combined cognitive and vascular interventions, while integrating cognitive screening into primary care in underserved areas for early detection and intervention. Conclusion: Elderly individuals in southwestern China exhibit a high prevalence of cognitive impairment, with AD associated with complex risk factors including established contributors like advanced age, dementia family history, alcohol abuse, and multisystem comorbidities-while notably identifying surgical history and urolithiasis as region specific risk signals. These findings underscore regional, environmental, and ethnic influences on AD pathogenesis, requiring tailored prevention/treatment. Future priorities include integrating brief cognitive screening into primary care, targeting high-risk groups (eg, undereducated rural elderly women), and establishing prospective cohorts to clarify causal links between urolithiasis, surgical history, and cognitive decline for refined region-adapted AD prevention.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overAge FactorsChinaComorbidityCross-Sectional StudiesEducational StatusFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsAlzheimer’s diseaseChinaepidemiologyMCIrisk factor

Identifiers

PMID41476782
PMCPMC12751288

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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.