| Recruitment status | Preinitiation |
| Unique ID issued by UMIN | UMIN000047939 |
| Receipt No. | R000054651 |
| Scientific Title | A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia |
| Date of disclosure of the study information | 2022/06/25 |
| Last modified on | 2022/06/03 (Ver. 1) |
| Basic information | ||
| Public title | A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia | |
| Acronym | A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia | |
| Scientific Title | A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia | |
| Scientific Title:Acronym | A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia | |
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| Condition | ||
| Condition | Critical Limb Ischemia | |
| Classification by specialty |
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| Classification by malignancy | Others | |
| Genomic information | NO | |
| Objectives | |
| Narrative objectives1 | The prognosis for patients with critical leg ischemia is poor, requiring early testing and treatment to save lives and limbs. Catheter-based examination and treatment (peripheral angioplasty) is performed, but many patients are at high risk, and it is important to assess whether they would benefit from revascularization. |
| Basic objectives2 | Others |
| Basic objectives -Others | In this study, we will make AI learn the images at the time of catheterization and the subsequent course of the procedure to analyze the prognosis by images. |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | all cause death and major amputation |
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| Base | |
| Study type | Observational |
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| Eligibility | ||||
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| Gender | Male and Female | |||
| Key inclusion criteria | Patients undergoing peripheral angioplasty at Osaka Red Cross Hospital from January 1, 2016 to June 3, 2022 | |||
| Key exclusion criteria | Patients who cannot give consent for this study, patients with serious illnesses that are predicted to significantly affect their prognosis (e.g., malignancy requiring current treatment, severe infection, severe immunological or metabolic disease, etc.) | |||
| Target sample size | 200 | |||
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| Organization | Osaka Red Cross Hospital | ||||||
| Division name | Cardiology | ||||||
| Zip code | 543-8555 | ||||||
| Address | 5-30 Fudekazaki-cho, Tennoji-ku, Osaka City | ||||||
| TEL | 06-6774-5111 | ||||||
| itsuka@osaka-med.jrc.or.jp | |||||||
| Public contact | |||||||
| Name of contact person |
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| Organization | Osaka Red Cross Hospital | ||||||
| Division name | Cardiology | ||||||
| Zip code | 543-8555 | ||||||
| Address | 5-30 Fudekazaki-cho, Tennoji-ku, Osaka City | ||||||
| TEL | 06-6774-5111 | ||||||
| Homepage URL | |||||||
| shiori.maruichi@gmail.com | |||||||
| Sponsor | |
| Institute | Osaka Red Cross Hospital |
| Institute | |
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| Funding Source | |
| Organization | none |
| Organization | |
| Division | |
| Category of Funding Organization | Other |
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| IRB Contact (For public release) | |
| Organization | Osaka Red Cross Hospital |
| Address | 5-30 Fudekazaki-cho, Tennoji-ku, Osaka City |
| Tel | 06-6774-5111 |
| shiori.maruichi@gmail.com | |
| Secondary IDs | |
| Secondary IDs | NO |
| Study ID_1 | |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
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| Recruitment status | Preinitiation | ||||||
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| Other | |
| Other related information | none |
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| Link to view the page | |
| URL(English) | https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000054651 |