[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trial:NCT06728969":3,"trial-entities:NCT06728969":100,"trial-summary:NCT06728969":104},{"id":4,"nct_id":4,"org_study_id":5,"brief_title":6,"official_title":7,"overall_status":8,"completion_date":9,"status_verified_date":10,"last_update_date":11,"start_date":12,"sponsor_name":13,"lead_sponsor_class":14,"has_dmc":15,"brief_summary":16,"detailed_description":17,"conditions":18,"keywords":20,"study_type":21,"primary_purpose":22,"phases":23,"enrollment_info":25,"interventions":28,"primary_outcomes":40,"secondary_outcomes":45,"sex":58,"minimum_age":59,"maximum_age":60,"healthy_volunteers":61,"eligibility_criteria":62,"std_ages":66,"locations":68,"central_contacts":87,"overall_officials":94,"references":98,"see_also_links":99},"NCT06728969","2023-0000","A Comparative Study to Evaluate a Novel Algorithm As a Diagnostic Aid for ADHD in Youth Ages 6-17.","A Prospective Comparative Study to Evaluate a Novel Algorithm Using Data Derived from a Non-Invasive Digital Biomarker As a Diagnostic Aid for ADHD in Youth Ages 6-17.","RECRUITING","2026-06","2024-11","2024-12-11","2024-06-02","MindTension","INDUSTRY",false,"This study aims to demonstrate the accuracy of the MT1 algorithm using the MindTension biometric sensor device as a diagnostic aid for healthcare providers in diagnosing ADHD in youth ages ≥ 6 to ≤17 years.","The study aims to demonstrate the accuracy of the MT1 algorithm. The output of the MT1 algorithm will be compared to a Gold Standard clinical diagnosis made by specialist clinician diagnosis supported by the Kiddie SADS Present and Lifetime semi-structured interview (K-SADS-PL) and norm-referenced measures of current ADHD symptom frequency and severity using the ADHD-RS-5 rating scale. Diagnosis will be scaled according to the Diagnostic and Statistical Manual of Mental Disorders- 5 (DSM-5) criteria, and made with agreement between two licensed specialists in ADHD (a Clinical Psychologist and a Psychiatrist).\n\nFurther to the above, demonstrate that the agreement between the MT1 output and the specialist clinician diagnosis will be non-inferior to the level of agreement between the clinician diagnosis with the Test of Visual Attention (TOVA) FDA cleared device.",[19],"ADHD",[],"INTERVENTIONAL","DIAGNOSTIC",[24],"NA",{"count":26,"type":27},120,"ESTIMATED",[29,36],{"type":30,"name":31,"description":32,"armGroupLabels":33},"DEVICE","MT1 Auditory startle response patterns analysis algorithm","Objective measurements of attention and inhibition.",[34,35],"ADHD group","Non-ADHD group",{"type":30,"name":37,"description":38,"armGroupLabels":39},"T.O.V.A. Continuous Performance Test","Objective measurements of attention and inhibitory control.",[34,35],[41],{"measure":42,"description":43,"timeFrame":44},"Overall Agreement Rate (OAR) - probability that the test will be normal and the condition is normal or positive and the condition is positive, out of all subjects.","The outcome measure will be calculated by using the following formula:\n\nOver All Agreement = (True Positive + True Negative) \u002F (True Positive + True Negative + False Positive + False Negative) X 100.","From the beginning of clinical assessment until the end of testing (approximately 1-2 days).",[46,49,52,55],{"measure":47,"description":48,"timeFrame":44},"Positive Predicted Value (PPV) - conditional probability that the condition will be positive if the test is positive.","The outcome measure will be calculated using the following formula:\n\nPositive Predicted Value = (True Positive) \u002F (True Positive + False Positive) X 100",{"measure":50,"description":51,"timeFrame":44},"Negative Predicted Value (NPV) - conditional probability that the condition will be normal if the test is normal.","The outcome measure will be calculated using the following formula:\n\nNegative Predicted Value = (True Negative) \u002F (True Negative + False Negative) X 100",{"measure":53,"description":54,"timeFrame":44},"Sensitivity - conditional probability that the test will be positive if the condition is positive.","The outcome measure will be calculated using the following formula:\n\nSensitivity = (True Positive) \u002F (True Positive + False Negative) X 100",{"measure":56,"description":57,"timeFrame":44},"Specificity - conditional probability that the test will be normal if the condition is normal.","The outcome measure will be calculated using the following formula:\n\nSpecificity = (True Negative) \u002F (True Negative + False Positive) X 100","ALL","6 Years","17 Years",true,{"inclusion":63,"exclusion":64,"raw_text":65},[],[],"Inclusion Criteria:\n\n1. Parent provision of signed and dated informed consent form\n2. Child stated willingness to comply with all study procedures and availability for the duration of the study\n3. Any gender, aged 6 to 17 years\n4. Stimulant naïve or willing to wash out of stimulant for 3 days (approximately 72 hours) prior to testing with biometric and performance devices (MindTension + TOVA)\n5. ADHD Group: Diagnosed with symptoms consistent with ADHD as determined by Mini Kid + an ADHD-RS score of 1.5SD above mean for age and sex\n6. Control group: No diagnosable disorder on the Mini kid, and an ADHD-RS score within 1SD of the mean for age and sex.\n\nExclusion Criteria:\n\n1. Current use of psychotropic medications that cannot be washed out in 3 days (approximately 72 hours)\n2. Known current seizure disorder (history of febrile seizure allowed).\n3. Presence of specific devices (e.g., cardiac pacemaker) that may interfere with the MindTension monitor\n4. IQ\\\u003C70 by clinician judgment\n5. Meeting FULL criteria for current PTSD, GAD, MDD, or any lifetime diagnosis of ASD, Bipolar disorder, or psychotic disorder that was, in the opinion of the investigator, correctly obtained. May have symptoms of anxiety or dysthymia\u002Fdepression not meeting criteria for a full disorder, or disorders such as simple phobia\n6. Deaf or hearing impaired, since this will make it difficult to hear and respond to the auditory stimuli.\n7. Inability to complete the assessments.\n8. Any other concerns in the judgment of the PI.",[67],"CHILD",[69],{"facility":70,"status":8,"city":71,"state":71,"zip":72,"country":73,"contacts":74,"geoPoint":84},"Icahn School of Medicine at Mount Sinai","New York","10029","United States",[75,80,82],{"name":76,"role":77,"phone":78,"email":79},"Beth Krone Clinical Psychologist, PhD., MS","CONTACT","212 241 8012","beth.krone@mssm.edu",{"name":81,"role":77},"Jeffrey Newcorn Director Division of ADHD and Learning Disorders; Director Ped, MD Professor",{"name":83,"role":77},"Beth Krone Assistant Professor of Psychiatry, PhD., MS",{"lat":85,"lon":86},40.71427,-74.00597,[88,92],{"name":89,"role":77,"phone":90,"email":91},"Jeffrey Newcorn, MD Professor","212-659-8705","jeffrey.newcorn@mssm.edu",{"name":93,"role":77,"phone":78,"email":79},"Beth Krone, PhD, MS",[95],{"name":89,"affiliation":96,"role":97},"Director, Division of ADHD and Learning Disorders Icahn School of Medicine at Mount Sinai","PRINCIPAL_INVESTIGATOR",[],[],{"nct_id":4,"conditions":101,"biomarkers":103},[102],"Attention Deficit Hyperactivity Disorder",[],{"nct_id":4,"found":61,"summary":105,"prompt_version":113},{"design":106,"status":107,"heading":6,"summary":108,"follow_up":106,"word_count":109,"commitments":110,"compensation":111,"drugs_mentioned":112},"Not specified.","completed","{\n   \"Study of MT1 Algorithm for ADHD Diagnosis in Youth\",\n   \"This study is looking for young people aged 6 to 17 with ADHD to test a new way to help doctors diagnose ADHD. It compares a new device called the MT1 Auditory startle response patterns analysis algorithm with a standard test called the T.O.V.A. Continuous Performance Test. The goal is to see how well the MT1 algorithm matches a diagnosis made by ADHD specialists. We want to see if the MT1 algorithm is as good as or better than the T.O.V.A. test in helping doctors diagnose ADHD. The study plans to enroll 120 participants. If you or your child are taking stimulant medication, you would need to stop it for about 3 days before testing.\",\n  \"design\": \"This interventional study plans to enroll 120 participants. It compares a new diagnostic algorithm (MT1) to a standard diagnostic test (T.O.V.A.) and specialist diagnoses.\",\n  \"commitments\": \"You would need to be available for clinical assessment and testing with biometric and performance devices, which is expected to take approximately 1-2 days. If taking stimulants, you would need to stop them for about 3 days prior to testing.\",\n  \"compensation\": \"Not stated in the trial record.\",\n  \"follow_up\": \"The primary outcome is measured from the beginning of clinical assessment until the end of testing, which is approximately 1-2 days.\",\n}",221,"Not specified in the trial record.","Not stated in the trial record.",[31,37],"v2"]