Ontology highlight
ABSTRACT: Objective
We utilized national claims-based data to identify the change in odds of diagnosis of ALS following possible-ALS-symptoms-and whether the change varies in urban/rural areas.Methods
Insurance claims were obtained from the Merative MarketScan databases, 2001-2021 in the United States. Individuals with incident ALS were identified and matched on age, sex, and enrollment period to individuals without ALS. For all individuals, claims for 8 possible-ALS-symptoms in the time before any ALS diagnosis were identified. We then used conditional logistic regression to estimate the odds of being diagnosed with ALS following these symptoms and whether the association varied by urban/rural location.Results
19,226 individuals with ALS were matched to 96,126 controls. Pati
SUBMITTER: Hart AA
PROVIDER: S-EPMC11840969 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature