Predicting Metastatic Oral Squamous Cell Carcinomas With Molecular Biomarkers Using Machine Learning
NCT ID: NCT04543266
Last Updated: 2020-09-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
500 participants
OBSERVATIONAL
2020-09-07
2023-12-31
Brief Summary
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PI - Siu Wai Choi; email - [email protected] Delegates - Chui Shan Chu; email: [email protected] FollowUpUsers - Chui Shan Chu; email:[email protected]
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Detailed Description
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\- patients were diagnosed with a baseline disease of oral squamous carcinoma.
Exclusion Criteria:
\- N/A
Sample size:
\- \~500 subjects
Source of Data:
\- The data, such as age and medical records, would be obtained from Hospital Authority Clinical Management System (HACMS)
Statistical analysis:
\- machine learning will be applied into analysis plan
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Patients with Progressive Disease
Patients with metastasis and/or recurrent OSCC were considered as a group of subjects with progressive disease
Surgery
Resection of tumors
Patients without Progressive Disease
Patients without metastasis and/or recurrent OSCC were considered as a group of subjects without progressive disease
Surgery
Resection of tumors
Interventions
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Surgery
Resection of tumors
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* received surgery from 1st October 2000 to 1st October 2019
Exclusion Criteria
ALL
No
Sponsors
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The University of Hong Kong
OTHER
Responsible Party
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Dr. Choi Siu-wai
Research Assistant Professor
Locations
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The University of Hong Kong
Hong Kong, , Hong Kong
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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UW19-704
Identifier Type: -
Identifier Source: org_study_id
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