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BMC Neurology

, 12:160

Neuromuscular disorders and peripheral neurology

Abstract

BackgroundThis paper provides a strategy to obtain a reliable estimate of the incidence rate for Amyotrophic lateral sclerosis based on data from the National Registry of Rare Diseases NRRD. In fact, unobserved cases may be due to the fact that -a long time- may intercour between the suspect of having the disease onset and the date the disease is diagnosed. Potential factors that may influence the probability of experiencing the event diagnosis conditionally on the onset suspected are investigated. Since we are treating rare diseases, the role of social and economic factors is not that obvious; latent as well as observed factors may influence the delay to diagnosis.

MethodsWe use a semiparametric estimator based on the distribution of delay to diagnosis to account for potential underreporting. In particular, we propose to adopt an Horvitz-Thompson based estimator to correct the incidence figure that can be derived for the period 2007-2009 from the NRRD, Italy.

ResultsThe incidence estimates obtained by adopting the proposed approach are about 1 case per 100000 inhabitants and despite they let recovering a good part of underreporting, they are still far from ALS incidence international ranges between 1.5 and 2.5. However, by looking only at northern Italy, the incidence estimates we can derive are coherent with those known internationally.

ConclusionsThese results confirm the existence of substantial differences in reporting accuracy, and point out where the system of data collection must be improved. In particular, when reliable individual characteristics will be available, they could be employed to refine the proposed estimator.

KeywordsDelay to diagnosis Horvitz-Thompson Incidence estimate Rare diseases Reverse hazard Electronic supplementary materialThe online version of this article doi:10.1186-1471-2377-12-160 contains supplementary material, which is available to authorized users.

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Autor: Irene Rocchetti - Domenica Taruscio - Daniela Pierannunzio

Fuente: https://link.springer.com/



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