- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04487938
Oral Cancer Screening and Education in Hong Kong
July 22, 2020 updated by: Professor Peter James Thomson, The University of Hong Kong
THE HONG KONG ORAL CANCER EDUCATION AND SCREENING (HOCES) PROGRAM: REFINING DISEASE PREVENTION, RISK STRATIFICATION AND EARLY DETECTION
This study will be conducted to obtain data on oral cancer risk factors to generate machine learning models with good predictive accuracy for stratifying individuals with high-oral cancer risk and delineating high-risk and low-risk oral lesions.
Likewise, this study will seek to provide oral cancer-related health education and training on oral-self-examination for beneficiaries
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
3190
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: John Adeoye
- Phone Number: 56441784
- Email: jaadeoye@hku.hk
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
45 years and older (ADULT, OLDER_ADULT)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Hong Kong residents aged 45 years and above residing in Southern and Central and Western district council districts (DCD).
Description
Inclusion Criteria:
- Healthy individuals satisfying age and residential area criteria with no previous history of oral cancer. Individuals with a history of other cancers will be included in the study provided they have been in remission for more than three years.
Exclusion Criteria:
- Participants with reduced mouth opening (irrespective of the cause) to permit proper administration of VOE or photosensitive epilepsy will be excluded. Likewise, those who decline the provision of written consent or participation in any part of the study.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Tobacco use and/or alcohol consumption
|
No intervention utilised
|
|
No tobacco use and/or alcohol consumption
|
No intervention utilised
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of machine learning algorithms for predicting high-risk persons
Time Frame: 24 months
|
Predictive accuracy of the ML classifiers for forecasting individuals with or likely to develop high-risk lesions within 24 months of first screening encounter based on demographic and lifestyle information.
|
24 months
|
|
Accuracy of machine learning algorithms for discriminating high-risk and low-risk lesions
Time Frame: 24 months
|
Predictive accuracy of ML classifiers for classifying high-risk and low-risk lesions based on demographic and lifestyle risk factors, oral high-risk HPV status, and salivary DNA hypermethylation levels.
|
24 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Peter Thomson, The University of Hong Kong
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Adeoye J, Choi SW, Thomson P. Bayesian disease mapping and the 'High-Risk' oral cancer population in Hong Kong. J Oral Pathol Med. 2020 Oct;49(9):907-913. doi: 10.1111/jop.13045. Epub 2020 Jun 10.
- Adeoye J, Brennan PA, Thomson P. "Search less, verify more"-Reviewing salivary biomarkers in oral cancer detection. J Oral Pathol Med. 2020 Sep;49(8):711-719. doi: 10.1111/jop.13003. Epub 2020 Mar 5.
- Adeoye J, Chu CS, Choi SW, Thomson P. Oral Cancer Awareness and Individuals' Inclination to Its Screening and Risk Prediction in Hong Kong. J Cancer Educ. 2022 Apr;37(2):439-448. doi: 10.1007/s13187-020-01834-x.
- Adeoye J, Thomson P. Strategies to improve diagnosis and risk assessment for oral cancer patients. Faculty Dental Journal. 2020;11(3):122-7.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ANTICIPATED)
August 1, 2021
Primary Completion (ANTICIPATED)
July 31, 2023
Study Completion (ANTICIPATED)
July 31, 2024
Study Registration Dates
First Submitted
July 22, 2020
First Submitted That Met QC Criteria
July 22, 2020
First Posted (ACTUAL)
July 27, 2020
Study Record Updates
Last Update Posted (ACTUAL)
July 27, 2020
Last Update Submitted That Met QC Criteria
July 22, 2020
Last Verified
July 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Skin Diseases
- Neoplasms
- Neoplasms by Site
- Head and Neck Neoplasms
- Stomatognathic Diseases
- Mouth Diseases
- Pathological Conditions, Anatomical
- Skin Diseases, Papulosquamous
- Precancerous Conditions
- Lip Diseases
- Lichenoid Eruptions
- Mouth Neoplasms
- Leukoplakia
- Leukoplakia, Oral
- Lichen Planus
- Lip Neoplasms
- Oral Submucous Fibrosis
Other Study ID Numbers
- thomsonp@hku.hk
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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