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      Updated report on tools to measure outcomes of clinical trials in fragile X syndrome

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          Abstract

          Objective

          Fragile X syndrome (FXS) has been the neurodevelopmental disorder with the most active translation of preclinical breakthroughs into clinical trials. This process has led to a critical assessment of outcome measures, which resulted in a comprehensive review published in 2013. Nevertheless, the disappointing outcome of several recent phase III drug trials in FXS, and parallel efforts at evaluating behavioral endpoints for trials in autism spectrum disorder (ASD), has emphasized the need for re-assessing outcome measures and revising recommendations for FXS.

          Methods

          After performing an extensive database search (PubMed, Food and Drug Administration (FDA)/National Institutes of Health (NIH)’s www.ClinicalTrials.gov, etc.) to determine progress since 2013, members of the Working Groups who published the 2013 Report evaluated the available outcome measures for FXS and related neurodevelopmental disorders using the COSMIN grading system of levels of evidence. The latter has also been applied to a British survey of endpoints for ASD. In addition, we also generated an informal classification of outcome measures for use in FXS intervention studies as instruments appropriate to detect shorter- or longer-term changes.

          Results

          To date, a total of 22 double-blind controlled clinical trials in FXS have been identified through www.ClinicalTrials.gov and an extensive literature search. The vast majority of these FDA/NIH-registered clinical trials has been completed between 2008 and 2015 and has targeted the core excitatory/inhibitory imbalance present in FXS and other neurodevelopmental disorders. Limited data exist on reliability and validity for most tools used to measure cognitive, behavioral, and other problems in FXS in these trials and other studies. Overall, evidence for most tools supports a moderate tool quality grading. Data on sensitivity to treatment, currently under evaluation, could improve ratings for some cognitive and behavioral tools. Some progress has also been made at identifying promising biomarkers, mainly on blood-based and neurophysiological measures.

          Conclusion

          Despite the tangible progress in implementing clinical trials in FXS, the increasing data on measurement properties of endpoints, and the ongoing process of new tool development, the vast majority of outcome measures are at the moderate quality level with limited information on reliability, validity, and sensitivity to treatment. This situation is not unique to FXS, since reviews of endpoints for ASD have arrived at similar conclusions. These findings, in conjunction with the predominance of parent-based measures particularly in the behavioral domain, indicate that endpoint development in FXS needs to continue with an emphasis on more objective measures (observational, direct testing, biomarkers) that reflect meaningful improvements in quality of life. A major continuous challenge is the development of measurement tools concurrently with testing drug safety and efficacy in clinical trials.

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          Most cited references210

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          Autism from 2 to 9 years of age.

          Autism represents an unusual pattern of development beginning in the infant and toddler years. To examine the stability of autism spectrum diagnoses made at ages 2 through 9 years and identify features that predicted later diagnosis. Prospective study of diagnostic classifications from standardized instruments including a parent interview (Autism Diagnostic Interview-Revised [ADI-R]), an observational scale (Pre-Linguistic Autism Diagnostic Observation Schedule/Autism Diagnostic Observation Schedule [ADOS]), and independent clinical diagnoses made at ages 2 and 9 years compared with a clinical research team's criterion standard diagnoses. Three inception cohorts: consecutive referrals for autism assessment to (1) state-funded community autism centers, (2) a private university autism clinic, and (3) case controls with developmental delay from community clinics. At 2 years of age, 192 autism referrals and 22 developmentally delayed case controls; 172 children seen at 9 years of age. Consensus best-estimate diagnoses at 9 years of age. Percentage agreement between best-estimate diagnoses at 2 and 9 years of age was 67, with a weighted kappa of 0.72. Diagnostic change was primarily accounted for by movement from pervasive developmental disorder not otherwise specified to autism. Each measure at age 2 years was strongly prognostic for autism at age 9 years, with odds ratios of 6.6 for parent interview, 6.8 for observation, and 12.8 for clinical judgment. Once verbal IQ (P = .001) was taken into account at age 2 years, the ADI-R repetitive domain (P = .02) and the ADOS social (P = .05) and repetitive domains (P = .005) significantly predicted autism at age 9 years. Diagnostic stability at age 9 years was very high for autism at age 2 years and less strong for pervasive developmental disorder not otherwise specified. Judgment of experienced clinicians, trained on standard instruments, consistently added to information available from parent interview and standardized observation.
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            The Repetitive Behavior Scale-Revised: independent validation in individuals with autism spectrum disorders.

            A key feature of autism is restricted repetitive behavior (RRB). Despite the significance of RRBs, little is known about their phenomenology, assessment, and treatment. The Repetitive Behavior Scale-Revised (RBS-R) is a recently-developed questionnaire that captures the breadth of RRB in autism. To validate the RBS-R in an independent sample, we conducted a survey within the South Carolina Autism Society. A total of 320 caregivers (32%) responded. Factor analysis produced a five-factor solution that was clinically meaningful and statistically sound. The factors were labeled "Ritualistic/Sameness Behavior," "Stereotypic Behavior," "Self-injurious Behavior," "Compulsive Behavior," and "Restricted Interests." Measures of internal consistency were high for this solution, and interrater reliability data suggested that the RBS-R performs well in outpatient settings.
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              Varieties of repetitive behavior in autism: comparisons to mental retardation.

              Systematic study of abnormal repetitive behaviors in autism has been lacking despite the diagnostic significance of such behavior. The occurrence of specific topographies of repetitive behaviors as well as their severity was assessed in individuals with mental retardation with and without autism. The occurrence of each behavior category, except dyskinesias, was higher in the autism group and autistic subjects exhibited a significantly greater number of topographies of stereotypy and compulsions. Both groups had significant patterns of repetitive behavior co-occurrence. Autistic subjects had significantly greater severity ratings for compulsions, stereotypy, and self-injury. Repetitive behavior severity also predicted severity of autism. Although abnormal repetition is not specific to autism, an elevated pattern of occurrence and severity appears to characterize the disorder.
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                Author and article information

                Contributors
                443-923-2634 , dbudimi1@jhu.edu
                Elizabeth_Berry-Kravis@rush.edu
                Craig.Erickson@cchmc.org
                hallss@stanford.edu
                drhessl@ucdavis.edu
                reiss@stanford.edu
                maggie.king@novartis.com
                ljabbeduto@ucdavis.edu
                864-388-1805 , wkaufmann@ggc.org
                Journal
                J Neurodev Disord
                J Neurodev Disord
                Journal of Neurodevelopmental Disorders
                BioMed Central (London )
                1866-1947
                1866-1955
                12 June 2017
                12 June 2017
                2017
                : 9
                : 14
                Affiliations
                [1 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Departments of Psychiatry and Behavioral Sciences, , Kennedy Krieger Institute and Child Psychiatry, Johns Hopkins University School of Medicine, ; 716 N. Broadway, Baltimore, MD 21205 USA
                [2 ]ISNI 0000 0001 0705 3621, GRID grid.240684.c, Departments of Pediatrics, Neurological Sciences, Biochemistry, , Rush University Medical Center, ; 1725 West Harrison, Suite 718, Chicago, IL 60612 USA
                [3 ]ISNI 0000 0001 2179 9593, GRID grid.24827.3b, , Division of Child and Adolescent Psychiatry, Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, ; 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
                [4 ]ISNI 0000000419368956, GRID grid.168010.e, Division of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, , Stanford University, ; 401 Quarry Road, Stanford, CA 94305 USA
                [5 ]ISNI 0000 0000 9752 8549, GRID grid.413079.8, MIND Institute and Department of Psychiatry and Behavioral Sciences, , University of California Davis Medical Center, ; 2825 50th Street, Sacramento, CA 95817 USA
                [6 ]ISNI 0000000419368956, GRID grid.168010.e, Division of Interdisciplinary Brain Sciences, Departments of Psychiatry and Behavioral Sciences, Radiology and Pediatrics, , Stanford University, ; 401 Quarry Road, Stanford, CA 94305 USA
                [7 ]GRID grid.476963.9, , Autism & Developmental Medicine Institute, Geisinger Health System, Present address: Novartis Pharmaceuticals Corporation, US Medical, ; One Health Plaza, East Hanover, NJ 07936 USA
                [8 ]ISNI 0000 0000 9752 8549, GRID grid.413079.8, MIND Institute and Department of Psychiatry and Behavioral Sciences, , University of California Davis Medical Center, ; 2825 50th Street, Sacramento, CA 95817 USA
                [9 ]ISNI 0000 0000 8571 0933, GRID grid.418307.9, Center for Translational Research, , Greenwood Genetic Center, ; 113 Gregor Mendel Circle, Greenwood, SC 29646 USA
                [10 ]ISNI 0000 0004 0378 8438, GRID grid.2515.3, Department of Neurology, , Boston Children’s Hospital, ; Boston, MA 02115 USA
                Article
                9193
                10.1186/s11689-017-9193-x
                5467057
                28616097
                fd9b1e9c-4bea-4593-b45b-b144b5dd839b
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 July 2016
                : 22 February 2017
                Categories
                Review
                Custom metadata
                © The Author(s) 2017

                Neurosciences
                fragile x syndrome,clinical trials,outcome measures,intellectual disability,autism spectrum disorder

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