UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000057017 |
|---|---|
| Receipt number | R000065118 |
| Scientific Title | The impact of professional advice for cancer patients: Investigation for cancer patient treatment data using generative AI |
| Date of disclosure of the study information | 2025/02/14 |
| Last modified on | 2025/02/18 08:32:49 |
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Basic information
Public title
The impact of professional advice for cancer patients: Investigation for cancer patient treatment data using generative AI
Acronym
The impact of professional advice for cancer patients
Scientific Title
The impact of professional advice for cancer patients: Investigation for cancer patient treatment data using generative AI
Scientific Title:Acronym
The impact of professional advice for cancer patients
Region
| Japan |
Condition
Condition
advanced cancer
Classification by specialty
| Hematology and clinical oncology | Adult |
Classification by malignancy
Malignancy
Genomic information
NO
Objectives
Narrative objectives1
To investigate the impact of guidance including dietary lifestyle on cancer patients on their cancer treatment by organizing and analyzing medical record data through the use of generative AI, targeting patients who received supportive cancer therapy at Karasuma Wada Clinic.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
To examine and categorize the details of the guidance provided to cancer patients by cancer type and to evaluate the association between these guidance and median survival.
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
| 18 | years-old | <= |
Age-upper limit
| Not applicable |
Gender
Male and Female
Key inclusion criteria
1. Patients receiving supportive cancer therapy
2. Advanced cancer (stage 4 or postoperative recurrence)
Key exclusion criteria
1. Patients who do not wish to participate in this study by opting out
2. Patients who have received less than two prior medical examinations
3. Less than 18 years old
Target sample size
2000
Research contact person
Name of lead principal investigator
| 1st name | Maomi |
| Middle name | |
| Last name | Ueno |
Organization
The University of Electro-Communications
Division name
Graduate School of Information Science and Technology
Zip code
182-8585
Address
1-5-1 Chofugaoka, Chofu-shi, Tokyo, Japan
TEL
042-443-5000
ueno@ai.lab.uec.ac.jp
Public contact
Name of contact person
| 1st name | Reo |
| Middle name | |
| Last name | Hamaguchi |
Organization
Japanese Society on Inflammation and Metabolism in Cancer
Division name
Clinical Cancer Research Team
Zip code
604-0842
Address
119 Nishioshikoji-cho, Nakagyo-ku, Kyoto-shi, Kyoto, Japan
TEL
075-223-1100
Homepage URL
rhamaguchi@scim.or.jp
Sponsor or person
Institute
The University of Electro-Communications
Institute
Department
Personal name
Funding Source
Organization
Japanese Society on Inflammation and Metabolism in Cancer
Organization
Division
Category of Funding Organization
Self funding
Nationality of Funding Organization
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
Labor and safty office, Personnel and labor affairs office, The University of Electro-Communications
Address
1-5-1 Chofugaoka, Chofu-shi, Tokyo
Tel
042-443-5024
human-ethics@office.uec.ac.jp
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
| 2025 | Year | 02 | Month | 14 | 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
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
Open public recruiting
Date of protocol fixation
| 2025 | Year | 01 | Month | 16 | Day |
Date of IRB
| 2025 | Year | 01 | Month | 27 | Day |
Anticipated trial start date
| 2025 | Year | 02 | Month | 14 | Day |
Last follow-up date
| 2027 | Year | 03 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
This study is an observational, retrospective study that collects medical records of patients who received supportive cancer therapy at Karasuma Wada Clinic. Generative AI will be utilized for data collection, storage, organization, and analysis to investigate the impact of professional guidance, including dietary and lifestyle habits, on cancer treatment outcomes.
Management information
Registered date
| 2025 | Year | 02 | Month | 13 | Day |
Last modified on
| 2025 | Year | 02 | Month | 18 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000065118
