UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000049863
Receipt number R000056749
Scientific Title Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool
Date of disclosure of the study information 2023/01/03
Last modified on 2023/12/25 00:01:20

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Basic information

Public title

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Acronym

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Scientific Title

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Scientific Title:Acronym

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Region

Japan


Condition

Condition

attention deficit hyperactivity disorder, ADHD

Classification by specialty

Psychiatry

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

The objective is to develop and validate an AI model to determine adult ADHD patients

Basic objectives2

Others

Basic objectives -Others

Development and validation of an AI model

Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Sensitivity, specificity, and accuracy of the following AI prediction model

Key secondary outcomes



Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

20 years-old <=

Age-upper limit

50 years-old >=

Gender

Male and Female

Key inclusion criteria

Subject eligibility is determined based on the following criteria before inclusion in the study:

(1) Confirmed diagnosis of ADHD
-Patients diagnosed with ADHD as per DSM-5
-CAARS (T score: 65 or higher )
-AQ-J Score: < 33
-JART score: 85 or higher

(2) Typical developer
-The subject has no history of psychiatric disorders.
-The subject has no psychiatric illness as confirmed by a structured interview in accordance with DSM-5. In this case, M.I.N.I. is used secondarily.
-CAARS (T score: < 65)
-AQ-J Score: < 33
-JART score: 85 or higher

(1)(2) Common
-In the opinion of the investigator or sub-investigator, the subject is capable of understanding and complying with protocol requirements.
-The subject signs and dates a written, informed consent form prior to the initiation of any study procedures.
-The subject is aged 20 to 50 years, inclusive, at the time of informed consent.
-The subject is native Japanese and can conduct interviews (conversations with healthcare professionals).

Key exclusion criteria

Any subject who meets any of the following criteria will not qualify for entry into the study:

-The subject is, in the opinion of the physician, unable to participate in the study due to deafness, dysarthria, aphasia, etc.
-Cognitive impairment due to a nervous system disorder (Epilepsy, stroke, etc.) or other disorders such as head trauma, or a diagnosis of dementia
-The subject has a diagnosis of ASD.
-The subject has a diagnosis of psychiatric illness, including anxiety, obsessive-compulsive and related disorders, traumatic and stress-related disorders, depression, bipolar disorder, schizophrenia spectrum disorder, or limited learning and intellectual disability.
-Other cases where the investigator or sub-investigator judges it difficult to continue the study.

Target sample size

100


Research contact person

Name of lead principal investigator

1st name Miwa
Middle name
Last name Izutsu

Organization

Takeda Pharmaceutical Company Limited.

Division name

Japan Medical Office

Zip code

103-8668

Address

1-1, Nihonbashi-Honcho 2-Chome, Chuo-ku, Tokyo, 103-8668, Japan

TEL

03-3278-2111

Email

miwa.izutsu@takeda.com


Public contact

Name of contact person

1st name Nozomi
Middle name
Last name Kamijo

Organization

Takeda Pharmaceutical Company Limited.

Division name

Japan Medical Office

Zip code

103-8668

Address

1-1, Nihonbashi-Honcho 2-Chome, Chuo-ku, Tokyo, 103-8668, Japan

TEL

03-3278-2111

Homepage URL


Email

nozomi.kamijo@takeda.com


Sponsor or person

Institute

Takeda Pharmaceutical Company Limited.

Institute

Department

Personal name



Funding Source

Organization

Takeda Pharmaceutical Company Limited.

Organization

Division

Category of Funding Organization

Profit organization

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Ethics Review Committee, Kitamachi Clinic, Toukeikai Medical Corporation.

Address

1-1-3,KichijojiKitamachi,Musashino-si.Tokyo

Tel

03-6779-8116

Email

chi-pr-ec-kitamachi@cmicgroup.com


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2023 Year 01 Month 03 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled

113

Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

No longer recruiting

Date of protocol fixation

2022 Year 10 Month 26 Day

Date of IRB

2022 Year 12 Month 21 Day

Anticipated trial start date

2023 Year 01 Month 09 Day

Last follow-up date

2023 Year 06 Month 30 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool


Management information

Registered date

2022 Year 12 Month 22 Day

Last modified on

2023 Year 12 Month 25 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000056749


Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name