The purpose of this project is to identify characteristics that may be of assistance in establishing the diagnosis and monitoring early progression of @entity409 in @entity1 with @entity746 ( @entity746 ). Early identification of @entity409 would assist in clinical trials and management decisions. A database of 218 clinic visits of @entity1 with @entity746 was developed and formed the basis for these analyses. As a framework for the description of our methodology, the Disablement Model [World Health Organization. WHO International classification of impairment, activity, and participation: beginner's guide. In: WHO, editor. @entity8652 draft for field trials; 1999] was utilized. Our data identified that the strongest early predictors of bulbar @entity409 include @entity2342 (laryngeal control), speaking rate, and communication effectiveness. A protocol for measuring these speech parameters was therefore undertaken. This paper presents the protocol used to measure these bulbar parameters.

A protocol for identification of early bulbar signs in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity8652 :: ('3779', 'Gene') :: ['Beta-1'] @entity409 :: ('MESH:D008107', 'Disease') :: ['bulbar dysfunction', 'speech dysfunction'] @entity746 :: ('MESH:D000690', 'Disease') :: ['ALS', 'Amyotrophic Lateral Sclerosis'] @entity2342 :: ('MESH:D004408', 'Disease') :: ['altered voice quality']
@entity746 :: (MESH:D000690,Disease) :: ['amyotrophic lateral sclerosis']
