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NCT ID: NCT06312137 Recruiting - Clinical trials for Non Small Cell Lung Cancer

A Study to Assess Efficacy and Safety of Pembrolizumab With or Without Sacituzumab Tirumotecan (MK- 2870) in Adult Participants With Resectable Non Small Cell Lung Cancer (NSCLC) Not Achieving Pathological Complete Response (pCR) (MK-2870-019)

Start date: April 3, 2024
Phase: Phase 3
Study type: Interventional

This study will assess if adding sacituzumab tirumotecan with pembrolizumab after surgery is effective in treating NSCLC for participants not achieving pathological complete response. The primary hypothesis of this study is sacituzumab tirumotecan plus pembrolizumab is superior to pembrolizumab monotherapy with respect to disease free survival (DFS) as assessed by blinded independent central review (BICR).

NCT ID: NCT06311812 Recruiting - Vaginal Abnormality Clinical Trials

Retrospective Review on Uterovaginal Anomalies

Start date: April 1, 2024
Phase:
Study type: Observational

Review of surgical outcomes of patient who have undergone surgery for uterovaginal anomalies. Case notes of patients would be reviewed and data would be gathered for statistical analysis.

NCT ID: NCT06310148 Recruiting - Hypertension Clinical Trials

Evaluation of the Chronic Disease Co-Care Pilot Scheme

Start date: January 18, 2024
Phase: N/A
Study type: Interventional

The Chronic Disease Co-Care (CDCC) Pilot Scheme is initiated for early screening and management of people with hypertension (HT), pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) in Hong Kong. This study will evaluate the quality of care, feasibility, acceptability, effectiveness and cost-effectiveness of the Scheme. This is a 12-month cohort study among the District Health Centre (DHC) or DHC Express, healthcare providers, CDCC participants and a comparison group of 1,886 non-participants. All the person-in charge, 2 family doctors and 1 of each allied health provider from each DHC/DHC Express will be administered with the questionnaires on quality of care and costing. All CDCC participants will be included in subject characteristics, among which a convenience sample of 548 will complete a telephone survey on experience, enablement and satisfaction of the CDCC Pilot Scheme. The health outcomes of 1,886 CDCC participants and 1,886 non-participants will be compared for evaluation of effectiveness and cost-effectiveness. Participant characteristics, enablement, compliance to the standards of care, and costing of CDCC Pilot Scheme will be summarized using descriptive statistics. Differences in the proportion of patients meeting treatment targeted for HT, pre-DM and DM after 12 months will be compared by chi-squared test and logistic regressions. The incremental cost-effectiveness ratio will be evaluated by comparing with the World Health Organization (WHO) threshold. This study will inform future healthcare planning and policy for manpower and resource allocation.

NCT ID: NCT06306677 Recruiting - Periodontitis Clinical Trials

Accuracy of an AI-clinical Knowledge-based Hybrid System for Detecting Periodontitis in OPG Images

Start date: March 12, 2024
Phase:
Study type: Observational

Periodontitis is highly prevalent and rarely detected and treated in the earlier stages of the disease. Orthopantomography (OPG) is the most frequently taken dental radiograph around the world, and its systematic screening may contribute to early detection of periodontitis and access to the needed level of care. The investigators' recent study initially developed an AI-clinical knowledge-based system for automatic periodontitis diagnosis and indicated good performance for differentiating stage II-IV periodontitis. This cross-sectional diagnostic study aims to compare the diagnostic accuracy of this AI-clinical knowledge-based hybrid system (Index test) with human experts (reference test) for differentiating stage II-IV periodontitis using the OPG images obtained from different 4 centers around the world.

NCT ID: NCT06305065 Not yet recruiting - Knee Osteoarthritis Clinical Trials

Open and Closed Platform Robotic-assisted Versus Conventional Total Knee Arthroplasty

Start date: March 2024
Phase: N/A
Study type: Interventional

REAL INTELLIGENCEā„¢ CORIā„¢ (CORI Surgical System) is a computer-assisted orthopedic surgical system. CORI Surgical System is designed to aid surgeons in planning and executing a procedure involving bone preparation for total knee arthroplasty (TKA) procedures. CORI Surgical System is comprised of a console control unit, optical tracking camera, primary and secondary input displays (tablet and optional display monitor), and foot pedal. The CORI Surgical System software consists of a patient and user management module, a surgical planner, and an intra-operative cutting module. Yuanhua Orthopaedic Robotic Systems, KUNWU, is an open-platform robotic system that does not restrict surgeons in choosing the type of prosthesis implant. It is the only Orthopaedic Robotic System in Hong Kong registered with the HK Department of Health Medical Devices Control Office (MDCO) as an open platform system. Unlike other manufacturer's implant-based robots (closed systems), Yuanhua's objective is to provide maximum flexibility in choosing the best implant for each patient. Closed system robots not only impact the surgeon's choice of implant for an individual patient but also affect the hospital's implant purchases over multiple years without any negotiation power on pricing. This business model is often referred to as a "razor and razor blade" model. The primary objective of this study is to evaluate the use of open and closed platform robotic-assisted TKA procedure in achieving post-operative leg alignment as compared to procedures using standard instruments. The secondary objective of this study is to assess the safety and performance of the robotic-assisted TKA procedure up to 12 months after surgery as compared to procedures using conventional manual instruments.

NCT ID: NCT06303622 Not yet recruiting - Prostate Cancer Clinical Trials

Comparing MRI-Ultrasound Fusion and Cognitive-guided Biopsy for the Detection of csPCa: the PROFUSION Trial

Start date: June 1, 2024
Phase: N/A
Study type: Interventional

This study is an international multicentre RCT to compare the linically significant prostate cancer (csPCa) detection of cognitive-guided and MRI-USG guided biopsies in men with suspicious MRI lesion.

NCT ID: NCT06302504 Recruiting - Mental Health Issue Clinical Trials

Nature-based Mindfulness Intervention Program for Family Carers

Start date: April 15, 2023
Phase: N/A
Study type: Interventional

The program integrates ordinary mindfulness exercise with nature environment. Participants will be able to practice mindfulness in a natural environment in some of the program sessions. The study will study the effects of nature-based mindfulness program in reducing caregiving stress. The program will last for 4 session, 8 hours in total.

NCT ID: NCT06298136 Recruiting - ADHD Clinical Trials

The Effects of an Online Mindfulness-based Intervention for Children With Attention-Deficit/Hyperactivity Disorder

MindADHD
Start date: February 1, 2024
Phase: N/A
Study type: Interventional

This study will investigate the effects of an online mindfulness-based intervention with a randomized controlled trial.

NCT ID: NCT06296719 Active, not recruiting - Family Members Clinical Trials

The Chit-Chat Educational Intervention to Promote Advance Care Planning in the Community

Start date: May 30, 2024
Phase: N/A
Study type: Interventional

The purpose of this study is to estimate the effect size of the Chit-Chat intervention on ACP engagement among family members of older adults with multi-morbidity.

NCT ID: NCT06295497 Not yet recruiting - Lung Cancer Clinical Trials

Lung Cancer Screening by Artificial Intelligence Device

Start date: April 1, 2024
Phase: N/A
Study type: Interventional

Lung cancer screening is currently not recommended in non-smokers due to paucity of evidence. Emerging evidence suggests that first-degree family history is a strong risk factor for lung cancer in Asian non-smokers. In Asia, lack of resource is a major challenge in successful implementation of lung cancer screening. Artificial intelligence (AI) is a promising tool to overcome this resource. In this study, we aim to study the clinical utility and demonstrate the feasibility of using an AI assisted programme for lung cancer screening in Asian non-smokers with a positive family history. This is a single-arm non-randomized lung cancer screening study. 1000 non-smokers, age 50 to 75 year old, with a first-degree family history of lung cancer, will be enrolled. Participants will undergo low does computed tomography (LDCT) of thorax and blood taking at enrolment. LDCT films will be interpreted by AI softwares for presence of lung nodules. Participants with lung nodules will be further investigated and followed up according to the risk of malignancy. The primary endpoint is the prevalence of early-staged lung cancer detected by first-round LDCT thorax in this population.