NCT04487938

Brief Summary

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

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
3,190

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2021

Typical duration for all trials

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 22, 2020

Completed
5 days until next milestone

First Posted

Study publicly available on registry

July 27, 2020

Completed
1 year until next milestone

Study Start

First participant enrolled

August 1, 2021

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2023

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2024

Completed
Last Updated

July 27, 2020

Status Verified

July 1, 2020

Enrollment Period

2 years

First QC Date

July 22, 2020

Last Update Submit

July 22, 2020

Conditions

Outcome Measures

Primary Outcomes (2)

  • Accuracy of machine learning algorithms for predicting high-risk persons

    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

    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

Study Arms (2)

Tobacco use and/or alcohol consumption

Other: No intervention utilised

No tobacco use and/or alcohol consumption

Other: No intervention utilised

Interventions

No intervention utilised

No tobacco use and/or alcohol consumptionTobacco use and/or alcohol consumption

Eligibility Criteria

Age45 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Hong Kong residents aged 45 years and above residing in Southern and Central and Western district council districts (DCD).

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (4)

  • 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.

    PMID: 32450000BACKGROUND
  • 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.

    PMID: 32027406BACKGROUND
  • 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.

    PMID: 32705524BACKGROUND
  • Adeoye J, Thomson P. Strategies to improve diagnosis and risk assessment for oral cancer patients. Faculty Dental Journal. 2020;11(3):122-7.

    BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Oral rinse samples obtained via drooling in 50cc tubes.

MeSH Terms

Conditions

Mouth NeoplasmsLeukoplakia, OralOral Submucous Fibrosis

Condition Hierarchy (Ancestors)

Head and Neck NeoplasmsNeoplasms by SiteNeoplasmsMouth DiseasesStomatognathic DiseasesLeukoplakiaPrecancerous ConditionsPathological Conditions, AnatomicalPathological Conditions, Signs and Symptoms

Study Officials

  • Peter Thomson

    The University of Hong Kong

    PRINCIPAL INVESTIGATOR

Central Study Contacts

John Adeoye

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

July 22, 2020

First Posted

July 27, 2020

Study Start

August 1, 2021

Primary Completion

July 31, 2023

Study Completion

July 31, 2024

Last Updated

July 27, 2020

Record last verified: 2020-07

Data Sharing

IPD Sharing
Will not share