ArticlePloS one2019
Factors associated with the onset of Alzheimer's disease: Data mining in the French nationwide discharge summary database between 2008 and 2014.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of cohort studies: Traumatic brain injury and risk of Alzheimer's Disease.PloS one · 2021Pooled it
- Spatio-temporal patterns of neurodegenerative disease hospitalizations in mainland Portugal.Frontiers in public health · 2026Article
- Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023.Military Medical Research · 2026Article
- Charting Alzheimer's Disease and Dementia: Epidemiological Insights, Risk Factors and Prevention Pathways.Journal of clinical medicine · 2024Review
- Behavioural Effects and RNA-seq Analysis of Aβ42-Mediated Toxicity in a Drosophila Alzheimer's Disease Model.Molecular neurobiology · 2023Article
- Chronic pain is a risk factor for incident Alzheimer's disease: a nationwide propensity-matched cohort using administrative data.Frontiers in aging neuroscience · 2023Article
- A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging.Frontiers in aging neuroscience · 2021Article
- GSK3-ARC/Arg3.1 and GSK3-Wnt signaling axes trigger amyloid-β accumulation and neuroinflammation in middle-aged Shugoshin 1 mice.Aging cell · 2020Article
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4 authors.
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Abstract
introductionIdentifying modifiable risk factors for Alzheimer's disease (AD) is critical for research. Data mining may be a useful tool for finding new AD associated factors.
methodsWe included all patients over 49 years of age, hospitalized in France in 2008 (without dementia) and in 2014. Dependent variable was AD or AD dementia diagnosis in 2014. We recoded the diagnoses of hospital stays (in ICD-10) into 137 explanatory variables.To avoid overweighting the "age" variable, we divided the population into 7 sub-populations of 5 years.
resultsWe analyzed 1,390,307 patients in the PMSI in 2008 and 2014: 55,997 patients had coding for AD or AD dementia in 2014 (4.04%). We associated Alzheimer disease in 2014 with about 20 variables including male sex, stroke, diabetes mellitus, mental retardation, bipolar disorder, intoxication, Parkinson disease, depression, anxiety disorders, alcohol, undernutrition, fall and 3 less explored variables: intracranial hypertension (odd radio [95% confidence interval]: 1.16 [1.12-1.20] in 70-80 years group), psychotic disorder (OR: 1.09 [1.07-1.11] in 70-75 years group) and epilepsy (OR: 1.06 [1.05-1.07] after 70 years). DISCUSSION: We analyzed 137 variables in the PMSI identified some well-known risk factors for AD, and highlighted a possible association with intracranial hypertension, which merits further investigation. Better knowledge of associations could lead to better targeting (identifying) at-risk patients, and better prevention of AD, in order to reduce its impact.
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