| Recruitment status | Enrolling by invitation |
| Unique ID issued by UMIN | UMIN000037900 |
| Receipt No. | R000043202 |
| Scientific Title | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices |
| Date of disclosure of the study information | 2019/09/04 |
| Last modified on | 2020/06/22 (Ver. 10) |
| Basic information | ||
| Public title | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices | |
| Acronym | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices | |
| Scientific Title | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices | |
| Scientific Title:Acronym | Study to clarify the relationship between joint conditions and sensing data acquired by smartphones and wearable devices | |
| Region |
|
|
| Condition | |||
| Condition | joint pain and/or swelling | ||
| Classification by specialty |
|
||
| Classification by malignancy | Others | ||
| Genomic information | NO | ||
| Objectives | |
| Narrative objectives1 | The objectives of the study are to clarify the relationship between joint conditions and sensing data obtained by smartphones and wearable devices, and to develop machine learning models to estimate the degree of joint conditions from the sensing data.
|
| Basic objectives2 | Safety |
| Basic objectives -Others | |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | The relationship between joint conditions and sensing data obtained by smartphones and wearable devices |
| 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 |
|
|||
| Age-upper limit |
|
|||
| Gender | Male and Female | |||
| Key inclusion criteria | Patients at age 20 or over with joint pain and/or swelling who visit Keio University Hospital or Tokyo Medical Center | |||
| Key exclusion criteria | -When the patient or his / her family cannot operate the smartphone
-A patient who suffers from a disease that may affect the acquisition of biometric information due to any physical disease. For example, those with diseases that affect measurement with wearable devices (people with limb paralysis or involuntary movements, etc.) -Other patients who are deemed inappropriate by the research director -Those who do not agree to participate |
|||
| Target sample size | 200 | |||
| Research contact person | |||||||
| Name of lead principal investigator |
|
||||||
| Organization | National Tokyo Medical Center | ||||||
| Division name | Division of Connective Tissue Diseases | ||||||
| Zip code | 152-8902 | ||||||
| Address | 2-5-1 Higashigaoka, Meguro-ku, Tokyo | ||||||
| TEL | 03-3411-0111 | ||||||
| visualizepain@gmail.com | |||||||
| Public contact | |||||||
| Name of contact person |
|
||||||
| Organization | National Tokyo Medical Center | ||||||
| Division name | Division of Connective Tissue Diseases | ||||||
| Zip code | 152-8902 | ||||||
| Address | 2-5-1 Higashigaoka, Meguro-ku, Tokyo | ||||||
| TEL | 03-3411-0111 | ||||||
| Homepage URL | |||||||
| visualizepain@gmail.com | |||||||
| Sponsor | |
| Institute | National Tokyo Medical Center |
| Institute | |
| Department | |
| Funding Source | |
| Organization | National Tokyo Medical Center, Keio University School of Medicine, etc. |
| 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 | The Clinical and Translational Research Center |
| Address | 2-5-1 Higashigaoka, Meguro-ku, Tokyo |
| Tel | 03-3411-0111 |
| med-rinri-jimu@mail.hosp.go.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 | 東京医療センター(東京都)
慶應義塾大学病院(東京都) |
| Other administrative information | |||||||
| Date of disclosure of the study information |
|
||||||
| 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 | Enrolling by invitation | ||||||
| Date of protocol fixation |
|
||||||
| Date of IRB |
|
||||||
| Anticipated trial start date |
|
||||||
| Last follow-up date |
|
||||||
| Date of closure to data entry | |||||||
| Date trial data considered complete | |||||||
| Date analysis concluded | |||||||
| Other | |
| Other related information | A)Collection of background factors
Obtain the following information from the electronic medical record: -Sex, age, disease with joint symptoms, disease duration, symptoms and physical examination information, test data related to the disease, X-ray images, presence of other diseases affecting physical activity and its disease activity, smoking history, drugs used, etc. B)Sensing data collection by sensing devices Researchers lend smartphones and wearable devices and patients will wear them for a maximum of 7 months. The sensing devices are connected to the researcher's PC with a USB cable at an outpatient or ward at regular intervals. -Smartphones Apple's iPhones are used to obtain step count data and barometric pressure data recorded by default in the iPhone. -Wearable devices Either of Fitbit devices or Apple Watch is used to acquire acceleration data such as body movements and sensing data including heart rates. C)Recording joint conditions The subjective symptoms of joints, self-evaluation of physical function, and pain / swelling records of joints are answered with the app and recorded in the smartphone. In addition, when patients see a doctor, patients can record general evaluation (G-VAS), tender joints, swollen joints, etc. by physicians in the app of the smartphone. |
| Management information | |||||||
| Registered date |
|
||||||
| Last modified on |
|
||||||
| Link to view the page | |
| URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000043202 |