ArticleNeuroscience insights2022
High Correlations Among Worldwide Prevalences of Dementias, Parkinson's Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate Common Causative Factors.
Article in Neuroscience insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- How do different cell populations orchestrate myelin regeneration?Biochemical Society transactions · 2025Review
- Adult-Onset Neuroepidemiology in Finland: Lessons to Learn and Work to Do.Journal of clinical medicine · 2023Review
- Regarding: High Correlations Among Worldwide Prevalences of Dementias, Parkinson's Disease, Multiple Sclerosis and Motor Neuron Diseases Indicate Common Causative Factors.Neuroscience insights · 2022Article
- Reply to the Letter to the Editor by Sipila, Jussi.Neuroscience insights · 2022Article
- Alzheimer's disease (AD) in multiple sclerosis (MS): A systematic review of published cases, mechanistic links between AD and MS, and possible clinical evaluation of AD in MS.Journal of Alzheimer's disease reportsReview
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dementia, Parkinson's disease, multiple sclerosis, and motor neuron diseases cause significant disability and mortality worldwide. Although the etiology of these diseases is unknown, highly correlated disease prevalences would indicate the involvement of common etiologic factors. Here we used published epidemiological data in 195 countries worldwide to investigate the possible intercorrelations among the prevalences of these diseases. All analyses were carried out using nonparametric statistics on rank-transformed data to assure the robustness of the results. We found that all 6 pairwise correlations among the prevalences of the 4 diseases were very high (>.9,
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Registered trials
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.