Evidence map›Paper›PMID 39558225›Full record

ArticleBMC neurology2024

Impact of diabetes mellitus on the risk of Alzheimer's disease: a mendelian randomization study.

Weichao Wang, Jie Zhang, Man Zhang, Chengyuan Zhang, Huanli Liu, Wanlin Li, Yimeng Fan

Abstract read
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Weichao WangDepartment of Endocrinology, Shijiazhuang People's Hospital, 365, Jianhua South Street, Yuhua District, Shijiazhuang, Hebei Province, 050011, China. wangwchsjzfh@163.com.
Jie ZhangDepartment of Ophthalmology, Shijiazhuang Third Hospital, Shijiazhuang, Hebei Province, 050011, China.
Man ZhangGraduate School, Hebei Medical University, Shijiazhuang, Hebei Province, 050011, China.
Chengyuan ZhangExamination Division, Medical Skills Examination and Appraisal Center, Shijiazhuang, Hebei Province, 050011, China.
Huanli LiuTeaching Division, Shijiazhuang People's Hospital, Shijiazhuang, Hebei Province, 050011, China.
Wanlin LiTeaching Division, Shijiazhuang People's Hospital, Shijiazhuang, Hebei Province, 050011, China.
Yimeng FanTeaching Division, Shijiazhuang People's Hospital, Shijiazhuang, Hebei Province, 050011, China.

Funding

Shijiazhuang Science and Technology Research and Development Project 181461283
6 · The paper itself

Abstract

backgroundThe impact of diabetes on the risk of Alzheimer's disease remains uncertain. This study aimed to explore this issue from multiple perspectives by using the Mendelian randomization (MR) approach.

methodsInstrumental variables for predicting six diabetic traits (including insulin and blood glucose), eight metabolic risk factors for diabetes (including total cholesterol and blood pressure), and seven diabetic genes were extracted from their summary data. These data were derived from multiple European cohorts and included 31,684 to 810,865 subjects respectively. The two-sample MR, multivariate MR, and summary-data-based Mendelian randomization (SMR) methods were employed to determine the associations of these traits or genes with the risk of Alzheimer's disease.

resultsThe two-sample MR showed that elevated fasting insulin and total cholesterol levels were associated with an increased risk of dementia in Alzheimer's disease (P = 0.022, P = 0.041). Elevated systolic and diastolic blood pressure levels were associated with a decreased risk of dementia in Alzheimer's disease (P = 0.036, P = 0.025). The multivariate MR reported that adjusting for telomere length (a well-established biomarker of aging) did not change these findings (P < 0.05). Additionally, the two-sample MR showed that type 1 and type 2 diabetes did not affect the risk of Alzheimer's disease. The SMR also indicated that the diabetic genes did not affect the risk of this disease.

conclusionMultiple MR approaches concluded that fasting insulin, total cholesterol, and blood pressure, rather than diabetes, were potential metabolic variables that had an impact on the risk of Alzheimer's disease. However, aging might not be involved in these correlations.

Indexed as

Alzheimer DiseaseMendelian Randomization AnalysisBlood PressureDiabetes MellitusFemaleHumansMaleRisk FactorsAlzheimer’s diseaseBlood pressureDiabetes mellitusInsulinTotal cholesterol

Identifiers

PMID39558225
PMCPMC11571773

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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.