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. 2022 Oct 26:17:26331055221132836.
doi: 10.1177/26331055221132836. eCollection 2022.

Reply to the Letter to the Editor by Sipila, Jussi

Lisa M James  1 , Apostolos P Georgopoulos  2
Affiliations

Reply to the Letter to the Editor by Sipila, Jussi

Lisa M James et al. Neurosci Insights. .

Abstract

This a Reply to the Letter to the Editor by Sipila, Jussi regarding our article titled: James LM, Georgopoulos AP. High Correlations Among Worldwide Prevalences of Dementias, Parkinson's Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate Common Causative Factors. Neurosci Insights. 2022 Aug 8;17:26331055221117598. doi: 10.1177/26331055221117598.

Keywords: Dementia; Motor neuron diseases; Multiple Sclerosis; Parkinson’s disease.

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Conflict of interest statement

The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
The percentage of cases (prevalence) of the four color-coded diseases is shown for 6 countries at different global locations and with widely varying populations to illustrate the close similarity of the exponential increase from MND to MS to PD to DEM. All coefficients of determination(r2) of the exponential fits shown were very high (>0.9; range: 0.928-0.966).
Figure 2.
Figure 2.
A, the mean percent of disease cases (prevalence, N = 195 countries worldwide) is plotted in the original scale to illustrate the exponential fit. B, the mean percent of natural-log transformed disease cases is plotted to illustrate the linear increase of disease prevalence in the log-scale, as predicted by the exponential fit (A).
Figure 3.
Figure 3.
The log-transformed percent of cases in all 195 countries are shown to illustrate the similarity of linear increase in log-prevalence across countries and the wide (~4-fold in the log-scale) range of overall disease prevalence among countries.
See this image and copyright information in PMC

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