There are about 25435 clinical studies being (or have been) conducted in United Kingdom. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Cancer is one of the leading causes of mortality worldwide and is responsible for an estimated 9.6 million deaths yearly. Cancer-related deaths can be reduced if patients are diagnosed and treated early. Delay in cancer diagnosis can occur at any point along the diagnostic spectrum, from the first observation of symptoms to the start of treatment. Diagnosing cancer when it is still at an early stage, before it has spread, gives surgery, radiotherapy and other treatments the best chance of working. Therefore, early diagnosis is the most important way to improve cancer outcomes. Most of the cancers usually presents with vague and non-alarming symptoms. Most individuals are diagnosed late when the cancer has already spread, and the prognosis is poor. There are over 200 different types of cancer that can cause many different signs and symptoms. Sometimes symptoms affect specific body areas, such as abdomen or skin. But signs can also be more general, and include weight loss, tiredness (fatigue) or unexplained pain. The type of symptoms varies from person to person. The major reasons for not presenting to the GP with symptoms such as these are "not wanting to waste the GP's time" and normalisation of these symptoms. The persistence of a symptom, social influence and awareness encourage help-seeking behaviours in primary care. However, few believe their symptom(s) might be a sign of cancer. Consequently, people might choose to self-manage their symptoms by using over-the-counter medication, and to seek advice from other sources, (pharmacists, family, internet), rather than a primary care physician. RATIONALE FOR CURRENT STUDY An early cancer diagnosis is essential for receiving treatment as early as possible to have the best chance for successful treatment. Early diagnosis of cancer can be challenging. Sometimes, the cancer symptoms resemble common illnesses and could resolve with the use of over-the-counter medications and other remedies until they become persistent or debilitating. The present study focuses on ten cancer forms: colon, oesophageal, stomach, liver, bladder, uterine, vulval, ovarian, endometrial and pancreatic. Patients diagnosed with the cancers mentioned above often report experiencing vague symptoms (such as abdominal or back pain, indigestion, feeling full etc). They often use over-the-counter medication to manage their symptoms before seeing a doctor. Information about how often and what products participants purchase (e.g. pain killers, digestive products and natural remedies) to care for these symptoms could help identify these cancers a few crucial weeks or months earlier and encourage people to seek help sooner from their doctors.
Accurate classification of growths in the large bowel (polyps) identified during colonoscopy is imperative to inform the risk of colorectal cancer. Reliable identification of the cancer risk of individual polyps helps determine the best treatment option for the detected polyp and determine the appropriate interval requirements for future colonoscopy to check the site of removal and for further polyps elsewhere in the bowel. Current advanced endoscopic imaging techniques require specialist skills and expertise with an associated long learning curve and increased procedure time. It is for these reasons that despite being introduced in clinical practice, uptake of such techniques is limited and current methods of polyp risk stratification during colonoscopy without Artificial intelligence (AI) is suboptimal. Approximately 25% of bowel polyps that are removed by major surgery are analysed and later proved to be non-cancerous polyps that could have been removed via endoscopy thus avoiding anatomy altering surgery and the associated risks. With accurate polyp diagnosis and risk stratification in real time with AI, such polyps could have been removed non-surgically (endoscopically). Current Computer Assisted Diagnosis (CADx, a form of AI) platforms only differentiate between cancerous and non cancerous polyps which is of limited value in providing a personalised patient risk for colorectal cancer. The development of a multi-class algorithm is of greater complexity than a binary classification and requires larger training and validation datasets. A robust CADx algorithm should also involve global trainable data to minimise the introduction of bias. It is for these reasons that this is a planned international multicentre study. The Investigators aim to develop a novel AI five class pathology prediction risk prediction tool that provides reliable information to identify cancer risk independent of the endoscopists skill. These 5 categories are chosen because treatment options differ according to the polyp type and future check colonoscopy guidelines require these categories
Idiosyncratic drug-induced liver injury (DILI) is an unpredictable adverse hepatic reaction to a medication used in its therapeutic dose. DILI is the second most common cause of itching in adult Hepatology after biliary obstruction. In particular cholestatic or mixed pattern types of DILI (in which bile flow from the liver is impaired) are associated with long-lasting effects as well as reduced quality of life. There is therefore an urgent need to determine the incidence and natural history of itching in DILI and establish a network of centres that will form a basis for a clinical trial to investigate a novel intervention to treat these.
The goal of this clinical trial aims to establish if there are meaningful benefits to providing a hydrotherapy service for young people with Duchenne muscular dystrophy (DMD). The main aims are to: 1. to allocate a clinical physiotherapist to a project implementing hydrotherapy in young patients with DMD to establish whether there are meaningful benefits to their daily life. 2. to conduct patient and parent interviews to understand the barriers to completing a hydrotherapy intervention and ensure future research addresses meaningful outcomes for those with DMD.
Tacrolimus is a medicine given to try and stop rejection of a new kidney after transplant surgery. If too much taken the kidney may be damaged. If not enough taken, the risk of rejection is increased. Creatinine is a waste product made by the muscles and is normally removed from the body by the kidneys. If kidney function gets worse, the creatinine level in the blood goes up and means the new new kidney is not working properly. It is important to monitor levels of tacrolimus and creatinine regularly, to keep the kidney as healthy as possible. Regular monitoring also aids with balancing the amount of tacrolimus that patients need to take. The COVID-19 pandemic led to changes in the delivery of transplant services. One such changes was a move to the use of point-of-care, and at home devices. The study involves the set-up a new method in an NHS laboratory to test tacrolimus and creatinine levels in blood collected in the normal blood tubes and to compare the results with this new collection device, to see if the results are the same. If the results match, patients will continue to collect a blood sample using the new devices and send it to the laboratory. This will save both patients and the NHS time and money as they will not have to travel to a hospital to have their bloods taken.
dBM-dev study is a multicentre low-intervention research study which concerns REM sleep behaviour disorder (RBD) who is the best predictor for neurodegenerative diseases including Parkinson's disease (PD). RBD can only be confirmed by polysomnography, which is a cumbersome procedure. The main objective of this study is to identify a novel, robust dBM for the detection of RBD using smartwatch-based recordings of passive data.The study is conducted step-wise on two subsequent cohorts referred to as the development cohort and the confirmation cohort.
Background Pulmonary hypertension is a rare and incurable condition characterised by fatigue and breathlessness. The effects of pulmonary hypertension has a significant impact on an individual's emotional wellbeing and there are currently no established psychological interventions to improve this. Interoception is defined as the ability to perceive the internal state of the body and emerging research suggests that interventions to improve interoception can improve well-being. Aims The project aims to develop an interoceptive based intervention for those with pulmonary hypertension and examine the feasibility and acceptability of this. Additional aims are to explore the preliminary results of the intervention. Methods A randomised control feasibility trial will be used. Thirty-two participants will be included. Participants will be patients within the Scottish Pulmonary Vascular Unit diagnosed with pulmonary hypertension and randomly assigned to either the intervention or control (waitlist) group. The intervention will be an eight-session online group and participants will complete measures for interoception, anxiety, depression, health related quality of life, as well as a feasibility and acceptability questionnaire. Quantitative analysis will include descriptive statistics and T-tests (including non-parametric versions) to analyse the feasibility and gain a preliminary understanding of the intervention. Practical Applications It is hoped that the findings will identify a sample size for a larger trial whilst also informing future clinical practice. This project will be written up for a suitable journal and will be presented at an appropriate conference.
The goal of this clinical trial is to compare therapeutic drug monitoring (TDM) versus Standard of care in patients with rheumatoid arthritis treated with a subcutaneous tumor necrosis factor inhibitor (adalimumab). The main question it aims to answer is: Is TDM superior to standard of care in order to maintain sustained disease control without flares? Participants will be followed with blood sampling every second month, measuring serum drug levels and anti-drug antibodies of the TNFi. In the TDM-group, the researchers will adjust the dosage of the TNFi based on knowledge on optimal therapeutic ranges. In the Standard of care group, the TNFi will be administered according to standard of care without knowledge of serum drug levels or anti-drug antibodies.
To identify important ethnic inequalities in cervical cancer screening participation in Scotland, and explore possible reasons for these.
This study investigates the impact of lucid dreaming on individuals and explores methods to increase the likelihood of inducing lucid dreams intentionally. This study explores the impact of lucid dreaming on individuals, examining how this unique state of consciousness affects mental and emotional well-being. It further explores various methods aimed at increasing the likelihood of intentionally inducing lucid dreams. By analyzing scientific literature and experimental findings, the research highlights the potential therapeutic and creative benefits of lucid dreaming. Additionally, the study offers practical techniques designed to enhance the frequency of lucid dreams, such as maintaining a dream journal, eye movement before sleep, and recall of memories. These approaches provide individuals with tools to harness the power of lucid dreaming for personal growth and self-discovery.This study highlights the potential benefits of lucid dreaming and provides practical techniques for enhancing its frequency.