Evidence map›Paper›PMID 42387260›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Xinyu Liu, Ming Mao, Cuicui Liu, Dige Ai, Jiacheng Wang, Tianyu Yu, Xiaodong Han, Yifei Ren, Xiaolei Han, Yi Dong and 8 more

Abstract read
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In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

18 authors.

Xinyu LiuDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Ming MaoKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Cuicui LiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Dige AiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, P.R. China.
Jiacheng WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Tianyu YuDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Xiaodong HanInnovation Center for Neurological Disorders and Department of Neurology National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yifei RenDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.
Xiaolei HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yi DongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Lin SongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, 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, Department of Neurology, Ministry of Education, 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, Department of Neurology, Ministry of Education, 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, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Kai XuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yifeng DuDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.ORCID https://orcid.org/0000-0002-4672-6654
Chengxuan QiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yongxiang WangDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P.R. China.ORCID https://orcid.org/0000-0002-8832-7301

Funding

Alzheimer's Association Grant AACSFD-22-922844Brain Science and Brain-like Intelligence Technology Research Projects of China 2021ZD0201801Brain Science and Brain-like Intelligence Technology Research Projects of China 2021ZD0201808)National Natural Science Foundation of China 82401680National Natural Science Foundation of China 82571611Natural Science Foundation of Shandong Province 2024CXGC010603Natural Science Foundation of Shandong Province ZR2023QH206Natural Science Foundation of Shandong Province ZR2023QH212Natural Science Foundation of Shandong Province ZR2025QC2118ZSwedish Foundation for International Cooperation CH2019-8320the Swedish Research Council 2017-05819the Swedish Research Council 2020-01574the Swedish Research Council for Health, Working Life and Welfare 2023-01125Wellcome Trust 202404
6 · The paper itself

Abstract

introductionEmerging evidence has linked chronic diseases with structural brain measures; however, the relationship between multimorbidity patterns and brain-age gap is unclear.

methodsThis community-based study involved 1151 dementia-free older adults in Multimodal Interventions to Delay Dementia and Disability in Rural China (MIND-China). Multimorbidity was defined as coexistence of two or more chronic diseases. Hierarchical cluster analysis was used to identify five patterns of multimorbidity. We additionally defined cardiometabolic multimorbidity as coexistence of two or more cardiometabolic diseases. The predicted brain age was estimated using DeepBrainNet. Data were analyzed using linear regression models.

resultsThe number of chronic diseases, multimorbidity, and cardiometabolic multimorbidity were significantly associated with larger brain-age gap (p < 0.05). The multimorbidity clusters comprising cerebrovascular disease and metabolic disorders or biliary tract diseases, dorsopathies, anemia, and hearing problems were significantly correlated with larger brain-age gap (p < 0.05). DISCUSSION: The overall burden and cardiometabolic pattern of multimorbidity are associated with advanced brain aging in dementia-free older adults.

Indexed as

AgingBrainMultimorbidityAgedAged, 80 and overChinaChronic DiseaseDementiaFemaleHumansMaleMetabolic Diseasesbrain agingcardiometabolic diseasescommunity‐based studymultimorbidity patterns

Identifiers

PMID42387260
PMCPMC13322993

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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.