An observational study in Oral Cancer, Oral Leukoplakia and Oral Submucous Fibrosis, sponsored by The University of Hong Kong. Status unknown. Open to participants aged 45 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2020-07-27.
Sponsored by The University of Hong Kong · Observational
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
48 studies on the registry are indexed under Leukoplakia, Oral; 11 are open to participants now.
This study's planned enrollment of 3,190 is above the median of 97 across 20 observational studies indexed under Leukoplakia, Oral.
Browse Leukoplakia, Oral studies →The University of Hong Kong is the lead sponsor of 1,292 studies on the registry; 348 are open to participants now.
Of its 9 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.
Compared within Leukoplakia, Oral, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Mouth Neoplasms. The counts are of registry records indexed under each term, refreshed daily. How we classify →
Hong Kong residents aged 45 years and above residing in Southern and Central and Western district council districts (DCD).
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Exclusion Criteria:
Other: No intervention utilised
Other: No intervention utilised
No intervention utilised
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.
Time frame: 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.
Time frame: 24 months
No study locations are listed for this record.
Plan to share: No
Start is estimated for Aug 2021; primary completion for Jul 2023, 23 months later.
How these figures are worked out, and which studies are left out of them.
This study is status unknown, as verified in Jul 2020. You cannot join it, but the record below documents what was studied.
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