scholarly journals Bayesian disease mapping and the ‘High‐Risk’ oral cancer population in Hong Kong

2020 ◽  
Vol 49 (9) ◽  
pp. 907-913 ◽  
Author(s):  
John Adeoye ◽  
Siu‐Wai Choi ◽  
Peter Thomson
Keyword(s):  
Hong Kong ◽  
High Risk ◽  
Oral Cancer ◽  
Disease Mapping ◽  
Bayesian Disease Mapping

Oral cancer in Hong Kong: identifying and managing the ‘high-risk’ population

2018 ◽  
Vol 9 (3) ◽  
pp. 116-121 ◽  
Author(s):  
Peter Thomson ◽  
Richard Su ◽  
Siu-Wai Choi
Keyword(s):  
At Risk ◽  
Hong Kong ◽  
High Risk ◽  
Oral Cancer ◽  
High Risk Population ◽  
Risk Population ◽  
Oral Carcinogenesis

How research can help identify those most at risk of oral carcinogenesis.

scholarly journals Combined Genetic Biomarkers and Betel Quid Chewing for Identifying High-Risk Group for Oral Cancer Occurrence

2017 ◽  
Vol 10 (6) ◽  
pp. 355-362 ◽  
Author(s):  
Chia-Min Chung ◽  
Chien-Hung Lee ◽  
Mu-Kuan Chen ◽  
Ka-Wo Lee ◽  
Cheng-Che E. Lan ◽  
...  
Keyword(s):  
High Risk ◽  
Oral Cancer ◽  
Risk Group ◽  
High Risk Group ◽  
Betel Quid ◽  
Genetic Biomarkers ◽  
Cancer Occurrence ◽  
Betel Quid Chewing

scholarly journals Saliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan

2016 ◽  
Vol 113 (41) ◽  
pp. 11549-11554 ◽  
Author(s):  
Jau-Song Yu ◽  
Yi-Ting Chen ◽  
Wei-Fan Chiang ◽  
Yung-Chin Hsiao ◽  
Lichieh Julie Chu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Oral Cancer ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Low Risk ◽  
Healthy Controls ◽  
Protein Biomarkers

Most cases of oral squamous cell carcinoma (OSCC) develop from visible oral potentially malignant disorders (OPMDs). The latter exhibit heterogeneous subtypes with different transformation potentials, complicating the early detection of OSCC during routine visual oral cancer screenings. To develop clinically applicable biomarkers, we collected saliva samples from 96 healthy controls, 103 low-risk OPMDs, 130 high-risk OPMDs, and 131 OSCC subjects. These individuals were enrolled in Taiwan’s Oral Cancer Screening Program. We identified 302 protein biomarkers reported in the literature and/or through in-house studies and prioritized 49 proteins for quantification in the saliva samples using multiple reaction monitoring-MS. Twenty-eight proteins were successfully quantified with high confidence. The quantification data from non-OSCC subjects (healthy controls + low-risk OPMDs) and OSCC subjects in the training set were subjected to classification and regression tree analyses, through which we generated a four-protein panel consisting of MMP1, KNG1, ANXA2, and HSPA5. A risk-score scheme was established, and the panel showed high sensitivity (87.5%) and specificity (80.5%) in the test set to distinguish OSCC samples from non-OSCC samples. The risk score >0.4 detected 84% (42/50) of the stage I OSCCs and a significant portion (42%) of the high-risk OPMDs. Moreover, among 88 high-risk OPMD patients with available follow-up results, 18 developed OSCC within 5 y; of them, 77.8% (14/18) had risk scores >0.4. Our four-protein panel may therefore offer a clinically effective tool for detecting OSCC and monitoring high-risk OPMDs through a readily available biofluid.

scholarly journals Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study

2020 ◽  
Vol 17 (11) ◽  
pp. 4150
Author(s):  
Evan Su Wei Shang ◽  
Eugene Siu Kai Lo ◽  
Zhe Huang ◽  
Kevin Kei Ching Hung ◽  
Emily Ying Yang Chan
Keyword(s):  
Hong Kong ◽  
Risk Perception ◽  
High Risk ◽  
Extreme Events ◽  
Risk Taking ◽  
Sensation Seeking ◽  
Risk Behaviour ◽  
Disaster Risk ◽  
Cross Sectional ◽  
High Risk Behaviour

Although much of the health emergency and disaster risk management (Health-EDRM) literature evaluates methods to protect health assets and mitigate health risks from disasters, there is a lack of research into those who have taken high-risk behaviour during extreme events. The study’s main objective is to examine the association between engaging in high-risk behaviour and factors including sociodemographic characteristics, disaster risk perception and household preparedness during a super typhoon. A computerized randomized digit dialling cross-sectional household survey was conducted in Hong Kong, an urban metropolis, two weeks after the landing of Typhoon Mangkhut. Telephone interviews were conducted in Cantonese with adult residents. The response rate was 23.8% and the sample was representative of the Hong Kong population. Multivariable logistic regressions of 521 respondents adjusted with age and gender found education, income, risk perception and disaster preparedness were insignificantly associated with risk-taking behaviour during typhoons. This suggests that other factors may be involved in driving this behaviour, such as a general tendency to underestimate risk or sensation seeking. Further Health-EDRM research into risk-taking and sensation seeking behaviour during extreme events is needed to identify policy measures.

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