Reply to “Relationship between age and nerve dimensions in Charcot-Marie-Tooth disease. Do we know the reality?”

We read with great interest the letter by Coraci and collaborators (2018) in response to our recent electrodiagnostic, nerve ultrasound and histological study on Charcot-Marie-Tooth disease (CMT) due to myelin protein zero (Fabrizi et al., 2018). In an attempt to reconcile discrepancies on the relationship between age and nerve size in previous reports, Coraci and coworkers explored the correlation between age and cross sectional area (CSA) in a group of 49 patients with genetically confirmed CMT, namely 27 CMT1 and 22 CMT2 patients with local polynomial regression fitting (LOESS), a very flexible non-parametric regression analysis method that does not require the specification of a function to fit a model to all of the data in the sample, making it ideal for modelling complex processes for which no theoretical models exist (NIST, 2018).

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