scispace - formally typeset
D

D. D. Fraser

Researcher at National Institutes of Health

Publications -  16
Citations -  2971

D. D. Fraser is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Eccentric & Dermatomyositis. The author has an hindex of 13, co-authored 16 publications receiving 2823 citations. Previous affiliations of D. D. Fraser include East Carolina University.

Papers
More filters
Journal ArticleDOI

A new approach to the classification of idiopathic inflammatory myopathy: myositis-specific autoantibodies define useful homogeneous patient groups.

TL;DR: Myositis-specific autoantibody status is a more useful guide than clinical group in assessing patients with myositis, and that specific associations of immunogenetics, immune responses, and clinical manifestations occur in IIM.
Journal ArticleDOI

Adaptive responses to muscle lengthening and shortening in humans

TL;DR: It is concluded that adaptations to training with maximal eccentric contractions are specific to eccentric muscle actions that are associated with greater neural adaptation and muscle hypertrophy than concentric exercise.
Journal ArticleDOI

Changes in muscle strength, muscle fibre size and myofibrillar gene expression after immobilization and retraining in humans

TL;DR: The present data underscore the role muscle lengthening plays in human neuromuscular function and adaptation and highlight the need for further research into this area.
Journal ArticleDOI

Controlled trial of plasma exchange and leukapheresis in polymyositis and dermatomyositis.

TL;DR: As treatments for corticosteroid-resistant polymyositis or dermatomyositis, leukapheresis and plasma exchange are no more effective than sham apheresis.
Journal ArticleDOI

Drug therapy of the idiopathic inflammatory myopathies: predictors of response to prednisone, azathioprine, and methotrexate and a comparison of their efficacy

TL;DR: Determining the clinical group, autoantibody status, and time from disease onset to diagnosis of patients with myositis provides useful information in predicting clinical responses to therapy, and these factors should be considered in designing future therapeutic trials.