Evidence map›Paper›PMID 38982798›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Cardiometabolic multimorbidity, peripheral biomarkers, and dementia in rural older adults: The MIND-China study.

Cuicui Liu, Rui Liu, Na Tian, Wenxin Fa, Keke Liu, Nan Wang, Min Zhu, Xiaoyan Liang, Yixun Ma, Yifei Ren and 9 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  19. Spotlight on Alzheimer's disease and related dementias research in East Asia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

19 authors.

Cuicui LiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Rui LiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Na TianKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Wenxin FaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Keke LiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Nan WangDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Min ZhuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Xiaoyan LiangDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Yixun MaKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yifei RenDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Yongxiang WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Lin CongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Shi TangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Davide Liborio VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Solna, Sweden.
Tiia NganduDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Miia KivipeltoDivision of Clinical Geriatrics and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Tingting HouKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yifeng DuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.ORCID 0000-0002-4672-6654
Chengxuan QiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.

Funding

Academic Promotion Program of Shandong First Medical University 2019QL020Alzheimer's Disease Data InitiativeAlzheimer's Drug Discovery FoundationAlzheimer's Foundation (ALF)Alzheimer's Research and Prevention FoundationCenter for Innovative Medicine (CIMED)Clinical Medicine Technology Innovation Program 202019080EU Joint Programme-Neurodegenerative Disease Research (JPND)European Union Horizon 2020Finnish Cultural FoundationIntegrated Traditional Chinese and Western Medicine Program in Shandong Province YXH2019ZXY008Janssen PharmaceuticaNational Key R&D Program of China Ministry of Sciences and Technology 2017YFC1310100National Key R&D Program of China Ministry of Sciences and Technology 2022YFC3501404National Natural Science Foundation of China 81861138008National Natural Science Foundation of China 82011530139National Natural Science Foundation of China 82171175National Natural Science Foundation of China 82200980Natural Science Foundation of Shandong Province ZR2021MH392Natural Science Foundation of Shandong Province ZR2021QH240NordForskPäivikki and Sakari Sohlberg FoundationPostdoctoral Innovation Project of Shandong ProvinceShandong Provincial Key Research and Development Program 2021LCZX03Sigrid Jusélius FoundationSTI2030-Major Projects 2021ZD0201801STI2030-Major Projects 2021ZD0201808Stiftelse Stockholms SjukhemSwedish Foundation for International Cooperation in Research and Higher Education CH2019-8320Swedish Research Council 2017-05819Swedish Research Council 2020-01574Swedish Research Council for Health, Working Life and Welfare 2023-01125Taishan Scholar Program of Shandong Province, China
6 · The paper itself

Abstract

introductionEvidence has emerged that cardiometabolic multimorbidity (CMM) is associated with dementia, but the underlying mechanisms are poorly understood.

methodsThis population-based study included 5704 older adults. Of these, data were available in 1439 persons for plasma amyloid-β (Aβ), total tau, and neurofilament light chain (NfL) and in 1809 persons for serum cytokines. We defined CMM following two common definitions used in previous studies. Data were analyzed using general linear, logistic, and mediation models.

resultsThe presence of CMM was significantly associated with an increased likelihood of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) (p < 0.05). CMM was significantly associated with increased plasma Aβ40, Aβ42, and NfL, whereas CMM that included visceral obesity was associated with increased serum cytokines. The mediation analysis suggested that plasma NfL significantly mediated the association of CMM with AD. DISCUSSION: CMM is associated with dementia, AD, and VaD in older adults. The neurodegenerative pathway is involved in the association of CMM with AD. HIGHLIGHTS: The presence of CMM was associated with increased likelihoods of dementia, AD, and VaD in older adults. CMM was associated with increased AD-related plasma biomarkers and serum inflammatory cytokines. Neurodegenerative pathway was partly involved in the association of CMM with AD.

Indexed as

Amyloid beta-PeptidesBiomarkersDementiaMultimorbidityAgedAged, 80 and overAlzheimer DiseaseChinaCytokinesFemaleHumansMaleNeurofilament ProteinsRural Populationtau ProteinsAmyloid beta-PeptidesBiomarkersCytokinesneurofilament protein LNeurofilament Proteinstau Proteinscardiometabolic multimorbiditydementianeurodegenerationplasma Alzheimer's biomarkerspopulation‐based studyserum cytokines

Identifiers

PMID38982798
PMCPMC11497761

What OpenQuestion holds

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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.