Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
880 participants
OBSERVATIONAL
2013-03-31
2014-12-31
Brief Summary
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The primary objective of this study is:
\- To develop an algorithm to classify blood RNA gene expression patterns to maximize agreement between the classification and a clinical assessment of presence or absence of Autism Spectrum Disorders (ASD).
The secondary objectives of this study are:
* To develop an algorithm to classify plasma metabolite and/or lipid profiles in such a way as to maximize agreement between the classification and a clinical assessment of presence or absence of ASD.
* To prospectively assess the clinical sensitivity and specificity of the plasma metabolite and/or lipid profile classification algorithm in a separate population consisting of children referred to a developmental evaluation clinic for a possible developmental disorder (DD).
* To evaluate clinical sensitivity and specificity of various combinations of gene expression signature, metabolite and/or lipid signatures, and presence of ASD-associated genetic variation detected by chromosomal microarray analysis (CMA) or sequencing protein-coding regions of the genome.
Detailed Description
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Analyses: Details of the analysis will be specified in a Statistical Analysis Plan (SAP), which will include procedures for handling outliers, missing data, and differences across sites. The SAP will be reviewed and approved by a committee of Principal Investigators (PIs) before unblinding of the validation set.
Primary analyses: The primary outcomes of the study will be the estimates of the clinical sensitivity and specificity of the SDX-002 test to classify subjects according to DSM-5 ASD diagnosis, with associated 95% confidence intervals. Sensitivity and specificity will be assessed on the Validation Phase population based on agreement with the clinical diagnosis of presence or absence of Autism Spectrum Disorder by DSM-5 (published May 2013).
The gene expression signature will be trained on the 500 subject Development Phase set, using 5-fold cross validation over the results of several machine learning algorithms, including partial least squares, support vector machines, and boosted decision trees. The training procedure will generate estimated ROC curves for each method, as well as confidence intervals for the area under the curve (AUC). The final choice of a machine-learning algorithm will be based on AUC, as well as on the estimated performance at the chosen operating point on the ROC curve. The operating point will be chosen to provide high sensitivity at an acceptable specificity.
Secondary analyses: In the majority of patients enrolled to date, consent was obtained for collection of an optional bio-repository sample. The intended analysis of the bio-repository samples has now been established (see also, secondary objectives listed above). The metabolomic and lipomic signatures will be similarly assessed on the subset of the 500 subjects in the Development Phase set who consent to a bio-repository sample. In addition to the gene expression signature, metabolite and/or lipid signatures and DNA analysis will be combined with the gene expression signature in various configurations and the impact of these additional measures on clinical sensitivity and specificity will be evaluated. If these additional metabolomic/lipomic signatures and/or DNA analyses improve test performance, these elements may be included in the SDX-002 assay.
Sensitivity and specificity the final SDX-002 assay will also be assessed among subpopulations using demographic information and the results of developmental testing. There are likely to be few subjects in many of these subpopulations and caution will be used in interpreting the results. Planned subpopulation analyses include gender, age, ethnicity, ASD DSM-IV-TR diagnostic subcategory, DSM-5 ASD severity level (social communication and restricted interests/repetitive behaviors) and ADOS-2 scores.
Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Development Group
In the Development Phase, analyses will be performed until the classification algorithm is finalized.
No interventions assigned to this group
Validation Group
The Validation Phase will assess the performance of the finalized classification algorithm in 300 subjects.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* At least 18 months and less than 60 months.
* Parent/legal guardian has been informed about the study and has signed an informed consent form.
Exclusion Criteria
* Unable or unwilling to complete study procedures.
18 Months
60 Months
ALL
No
Sponsors
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SynapDx
INDUSTRY
Responsible Party
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Principal Investigators
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Barbara Rathmell, MD
Role: STUDY_DIRECTOR
SynapDx Corp
Locations
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Melmed Center
Scottsdale, Arizona, United States
Miller Children's Hospital
Long Beach, California, United States
UC Davis MIND Institute
Sacramento, California, United States
Emory University
Decatur, Georgia, United States
Rush Medical Center
Chicago, Illinois, United States
Riley Hospital for Children
Indianapolis, Indiana, United States
Children's Hospital Boston
Boston, Massachusetts, United States
Lurie Center Massachusetts General Hospital
Lexington, Massachusetts, United States
Mount Sinai School of Medicine/Seaver Center
New York, New York, United States
Institute for Behavioral Research on Staten Island
Staten Island, New York, United States
University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, United States
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio, United States
Nationwide Children's Hospital
Columbus, Ohio, United States
Children's Hospital of Philadelphia
Philadelphia, Pennsylvania, United States
Medical University of South Carolina
Charleston, South Carolina, United States
Vanderbilt University
Nashville, Tennessee, United States
Baylor College of Medicine/Texas Children's Hospital
Houston, Texas, United States
Seattle Children's
Seattle, Washington, United States
Glenrose Rehabilitation Hospital
Edmonton, Alberta, Canada
Holland Bloorview Kids Rehabilitation Hospital
Toronto, Ontario, Canada
Countries
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Other Identifiers
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12002
Identifier Type: -
Identifier Source: org_study_id