Evidence map›Paper›PMID 39331367›Full record

ArticleEuropean journal of neurology2024

Association of dementia with impaired kidney function and plasma biomarkers: A population-based study.

Nan Wang, Yixun Ma, Xiaoyan Liang, Wenxin Fa, Xunyao Tian, Cuicui Liu, Min Zhu, Na Tian, Keke Liu, Shi Tang and 8 more

Abstract read
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

18 authors.

Nan WangDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Yixun MaDepartment of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Xiaoyan LiangDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Wenxin FaDepartment of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.ORCID 0000-0001-5521-9163
Xunyao TianDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Cuicui LiuDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Min ZhuDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Na TianDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Keke LiuShandong Academy of Clinical Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Shi TangDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Lin SongDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0002-7100-1065
Lin CongDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Lu DaiAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
Hong XuDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Yongxiang WangDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Tingting HouDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0003-2614-8145
Yifeng DuDepartment of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Chengxuan QiuDepartment of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.

Funding

the Academic Promotion Program of Shandong First Medical University 2019QL020the Brain Science and Brain-Like Intelligence Technology Research Projects of China 2021ZD0201801the Brain Science and Brain-Like Intelligence Technology Research Projects of China 2021ZD0201808the Integrated Traditional Chinese and Western Medicine Program in Shandong Province YXH2019ZXY008the National Key R&D Program of China Ministry of Science and Technology 2017YFC1310100the National Key R&D Program of China Ministry of Science and Technology 2022YFC3501404the National Natural Science Foundation of China 81772448the National Natural Science Foundation of China 81861138008the National Natural Science Foundation of China 82011530139the National Natural Science Foundation of China 82171175the National Natural Science Foundation of China 82200980the Natural Science Foundation of Shandong Province ZR2021MH392the Natural Science Foundation of Shandong Province ZR2021QH240the Postdoctoral Innovation Project of Shandong Province SDCX-ZG-202203048the Shandong Provincial Key Research and Development Program 2021LCZX03the Swedish Foundation for International Cooperation in Research and Higher Education CH2019-8320the Swedish Research Council 2017-05819the Swedish Research Council 2020-01574the Taishan Scholar Program of Shandong Province, Chinathe Technology Development Plan Project of Jinan City 202134028
6 · The paper itself

Abstract

background and purposeEmerging evidence has linked impaired kidney function with dementia in older adults, but the neuropathological pathways underlying their association remain poorly understood. We sought to examine the relationships of kidney function with dementia and plasma biomarkers in a Chinese rural population.

methodsThis population-based study used data from the baseline examination of the Multimodal Interventions to Delay Dementia and Disability in rural China (MIND-China) cohort (March-September 2018; n = 5715). Kidney function was assessed using estimated glomerular filtration rate (eGFR) based on serum creatinine level. Dementia, Alzheimer's disease (AD) and vascular dementia (VaD) were diagnosed according to the international criteria. Plasma biomarkers were measured using the SIMOA platform in a subsample (n = 1446). Data were analyzed using logistic, general linear, and mediation models.

resultsOf the 5715 participants, 306 were diagnosed with dementia, including 195 with AD and 100 with VaD. Impaired kidney function (eGFR <60 vs. ≥90 mL/min/1.73 m

conclusionImpaired kidney function is associated with dementia and plasma biomarkers among rural-dwelling older Chinese adults, and the association with AD is partly mediated by plasma biomarkers for neurodegeneration.

Indexed as

Amyloid beta-PeptidesBiomarkersGlomerular Filtration RateAgedAged, 80 and overAlzheimer DiseaseChinaCohort StudiesDementiaDementia, VascularFemaleHumansMaleMiddle AgedNeurofilament ProteinsPeptide FragmentsAmyloid beta-PeptidesBiomarkersneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAlzheimer's disease (AD)estimated glomerular filtration rate (eGFR)kidney function impairmentplasma biomarkerspopulation‐based study

Identifiers

PMID39331367
PMCPMC11555029

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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.