A5103283800- Meta-analysis and systematic reviews
- Statistical Methods in Clinical Trials
- Clinical practice guidelines implementation
- Pharmaceutical Practices and Patient Outcomes
- Health Systems, Economic Evaluations, Quality of Life
- Genetic Associations and Epidemiology
- Pharmaceutical Economics and Policy
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- Hepatitis C virus research
- Hemodynamic Monitoring and Therapy
- Gene expression and cancer classification
- Cancer Risks and Factors
- Hepatitis Viruses Studies and Epidemiology
- BRCA gene mutations in cancer
- Cholinesterase and Neurodegenerative Diseases
- Hepatitis B Virus Studies
- Neurological Disorders and Treatments
- Blood Pressure and Hypertension Studies
Chinese University of Hong Kong
2009-2025
Prince of Wales Hospital
2022-2025
Hong Kong Jockey Club
2014-2025
City University of Hong Kong, Shenzhen Research Institute
2015
University of Hong Kong
2015
In Hong Kong, breast cancer is the commonest female cancer. addition to intrinsic risk factors that cannot be modified, other may potentially modifiable. The objective of this report was determine modifiable in association with among Chinese women our locality. This a case-control study enrolled patients from Kong Breast Cancer Registry and healthy matched controls local community between 2014 2017. Potential were analyzed using multiple logistic regression. total, 5186 5571 recruited....
Background The roadmap approach is recommended to guide chronic hepatitis B treatment. We evaluated the cost- effectiveness of various treatment strategies in global market. Methods Lamivudine and telbivudine were tested models with switch-to tenofovir if HBV was detectable at week 24 or add-on resistance developed year 1. Tenofovir entecavir as continuous monotherapy. In reference arm, lamivudine used primary measure undetectable DNA 2. Cost-effectiveness measured by incremental...
<title>Abstract</title> Genomics, metabolomics and proteomics offer complementary insights into the risk of cardiovascular diseases (CVDs), yet current prediction models lack capability to comprehensively integrate such multiomics data clinical information. Leveraging in-depth from 24,308 individuals in UK Biobank, we developed a novel multitask deep learning model simultaneously learn disease-specific, personalized proteomic (ProScore) metabolomic (MetScore) scores for nine most common CVD...
Feature selection in genome data faces the challenge of high dimensionality variables. When goal analytics is to identify susceptible loci for complex disease, interaction effects need be considered, and actual number variables screened even larger than original due variable combination. Previous methods feature interactions either exhaustively calculate pair-wise combination across or adopt a pre-screening step by marginal effect genetic markers. However, these might still result...
Objective A meta-analysis may provide more conclusive results than a single trial. The major cost of is the time waiting before becomes available and resources spent on consequent trials that not be necessary. objective this study to address how often result trial, in particular first differs from its corresponding so as reduce unnecessary subsequent trials. Study Design Settings meta-epidemiologic was conducted by collecting meta-analyses Cochrane Database Systematic Reviews five medical...
Combination therapy with memantine and acetylcholinesterase inhibitors (AChEIs) was proposed for patients moderate-to-severe Alzheimer's disease (AD), but the additional benefits of combination over monotherapy is still controversial. This study would like to compare AChEIs plus that or monotherapy. Literature searches were performed in MEDLINE, EMBASE, CINAHL EBM Reviews from Cochrane Centre inception August 2017. Randomized controlled trail (RCT) evaluating AChEIs, their on three domains:...