Predicting Metastatic Oral Squamous Cell Carcinomas With Molecular Biomarkers Using Machine Learning

• Conditions: Oral Squamous Cell Carcinoma
• Interventions: Procedure: Surgery

• Registration Number: NCT04543266
• Lead Sponsor: The University of Hong Kong

Brief Summary

Application Management Team:

PI - Siu Wai Choi; email - htswchoi@hku.hk Delegates - Chui Shan Chu; email: sunshine.c@connect.hku.hk FollowUpUsers - Chui Shan Chu; email:sunshine.c@connect.hku.hk

Detailed Description

Eligibility Criteria:

- 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

Basic Information
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Recruitment & Eligibility
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Study & Design
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Trial Locations

Study Timeline

• Status Verified: 2019-11
• Study Start: 2020-09-07
• Study First Submitted: 2020-09-08
• Study First Submitted QC: 2020-09-08
• Last Update Submitted: 2020-09-09
• Study First Posted: 2020-09-10
• Last Update Posted: 2020-09-11
• Primary Completion: 2021-12-31
• Study Completion: 2023-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 500

Inclusion Criteria

• patients with oral squamous carcinoma
• received surgery from 1st October 2000 to 1st October 2019

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Exclusion Criteria

N/A

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Patients without Progressive Disease	Surgery	Patients without metastasis and/or recurrent OSCC were considered as a group of subjects without progressive disease
Patients with Progressive Disease	Surgery	Patients with metastasis and/or recurrent OSCC were considered as a group of subjects with progressive disease

Primary Outcome Measures

Name	Time	Method
The primary outcomes of the study are metastasis and recurrent disease	Baseline of OSCC	These outcomes will be entered as the dependent variables into the machine learning model

Trial Locations

Locations (1)

The University of Hong Kong; 🇭🇰 Hong Kong, Hong Kong