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Development of an adapted Clinical Global Impression scale for use in Angelman syndrome by Alexander Kolevzon; Pamela Ventola; Christopher J. Keary; Gali Heimer; Jeffrey L. Neul; Mathews Adera; Judith Jaeger is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Development of an adapted Clinical Global Impression scale for use in Angelman syndrome about?
## Abstract ## Background The Clinical Global Impression-Severity (CGI-S) and CGI-Improvement (CGI-I) scales are widely accepted tools that measure overall disease severity and change, synthesizing the clinician’s impression of the global state of an individual. Frequently employed in clinical trials for neuropsychiatric disorders, the CGI scales are typically used in conjunction with disease-specific rating scales. When no disease-specific rating scale is available, the CGI scales can be adapted to reflect the specific symptom domains that are relevant to the disorder. Angelman syndrome (AS) is a rare, clinically heterogeneous condition for which there is no disease-specific rating scale. This paper describes efforts to develop standardized, adapted CGI scales specific to AS for use in clinical trials. ## Methods In order to develop adapted CGI scales specific to AS, we (1) reviewed literature and interviewed caregivers and clinicians to determine the most impactful symptoms, (2) engaged expert panels to define and operationalize the symptom domains identified, (3) developed detailed rating anchors for each domain and for global severity and improvement ratings, (4) reviewed the a
Who reads Development of an adapted Clinical Global Impression scale for use in Angelman syndrome?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Alexander Kolevzon; Pamela Ventola; Christopher J. Keary; Gali Heimer; Jeffrey L. Neul; Mathews Adera; Judith Jaeger
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)