ANZCTR search results

This study will evaluate the efficacy, safety and tolerability of trastuzumab deruxtecan compared with investigator's choice chemotherapy in human epidermal growth factor receptor (HER)2-low, hormone receptor (HR) positive breast cancer patients whose disease has progressed on endocrine therapy in the metastatic setting.

This study will assess the efficacy and safety of capivasertib plus abiraterone (+prednisone/prednisolone) plus androgen deprivation therapy (ADT) versus placebo plus abiraterone (+prednisone/prednisolone) plus ADT in participants with mHSPC whose tumours are characterised by PTEN deficiency. The intention of the study is to demonstrate that in participants with mHSPC, the combination of capivasertib plus abiraterone (+prednisone/prednisolone) plus ADT is superior to placebo plus abiraterone (+prednisone/prednisolone) plus ADT in participants with mHSPC characterised by PTEN deficiency with respect to radiographic progression-free survival (rPFS) per 1) Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 for soft tissue and/or Prostate Cancer Working Group (PCWG3) for bone as assessed by the investigator 2) death due to any cause.

The reason for this study is to see if the study drug LY3041658 is effective in participants with moderate-to-severe hidradenitis suppurativa (HS).

This study is open to people with palmoplantar pustulosis who took part in previous clinical studies of a medicine called spesolimab. Participants who benefited from spesolimab treatment in the previous studies can join this study. The purpose of this study is to find out how safe spesolimab is and whether it helps people with palmoplantar pustulosis in the long-term. Participants are in this study for up to 5 years. During this time they visit the study site every month to get spesolimab injections under the skin. At study visits, doctors check the severity of participants' palmoplantar pustulosis and collect information on any health problems of the participants.

Evidence has shown that COVID-19 infections can lead to an increased risk of blood clots. These blood clots can lead to individuals being admitted to hospital, or, unfortunately in severe cases, death. Enoxaparin is a blood-thinning drug which has been used by doctors and nurses in hospitals for many years to prevent the thickening of blood which may lead to a clot. It is easier for doctors to prevent new blood clots from forming than treating existing blood clots. Currently, there are no treatments for COVID-19. There is an urgent need to find a safe and effective treatment to prevent worsening of the disease that may lead to hospital admission and/or death. The ETHIC (Early Thromboprophylaxis in COVID-19) study aims to find out if giving enoxaparin in an early stage of the COVID-19 disease can prevent individuals being admitted to hospital and/or death. The study will take place in approximately 8 to 10 countries, in approximately 30 to 50 centres. Patients will be allowed to take part if they have had a confirmed COVID-19 infection, are = 55 years of age and have at least two of the following additional risk factors; age = 70 years, body mass index \> 25 kg/m2, chronic obstructive pulmonary disease, diabetes, cardiovascular disease, or corticosteroid use. Half the patients in the study will receive the blood-thinning drug enoxaparin for three weeks, and half will receive no treatment. Individuals will be randomly allocated to one of these groups. After 21 days, the number of patients in each group who were either admitted to hospital, or died, will be compared. The number of patients in each group who developed a blood clot (venous thromboembolism) will also be compared. Further comparisons will be made at both 50 and 90 days after the beginning of the study.

This study is designed to evaluate treatment effects of ATH-1017 (fosgonimeton) in mild to moderate Alzheimer's subjects with a randomized treatment duration of 26-weeks.

The goal of this study is to evaluate the efficacy and safety of pembrolizumab combined with carboplatin and paclitaxel as first-line treatment in participants with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). No statistical hypothesis will be tested in this study.

This study will compare the efficacy and safety of two doses of belzutifan in participants with advanced renal cell carcinoma (RCC) with clear cell component after prior therapy. The primary hypothesis is that the higher dose of belzutifan is superior to the standard dose in terms of objective response rate (ORR).

In esophageal carcinoma, neoadjuvant concurrent chemo-radiotherapy (NA-CCRT) followed by surgery is the current standard of care and ample evidence has accumulated supporting the view that complete pathological response (pCR) is a positive prognostic marker for improved outcomes. Predicting the probability of achieving pCR prior to neoadjuvant treatment could permit modification of treatment protocols for those patients unlikely to achieve pCR. Radiomics is a new entrant in the field of imaging where specific features are derived from the intensity and distribution pattern of pixels based on a region-of-interest (ROI). The features thus extracted can then be used for prediction modelling similar to other -omics datasets. Preliminary investigations examining its utility have been performed and its applications have thus far focused on screening and survival prediction after treatment. Due to the multi-dimensional nature of data extracted using radiomics, Artificial Intelligence (AI) methods are ideally suited for analysing and modelling radiomic features. Machine Learning (ML) and Deep Learning (DL)\[utilising Convolutional Neural Networks (CNN)\] are both part of the AI framework. In contrast to ML, DL is a new entrant and has been utilised by some medical researchers for modelling using prediction-type algorithms. Besides significantly reducing the workflow associated with Radiomics-based research, feature engineering and modelling using DL are immune to the effects of incorrect ROI delineation. However, the main limitation of DL is the 'blackbox' effect, in which the underlying basis of a CNN is not known. This has been mitigated in part by the visualisation of activation maps directly on the image dataset to prove biological plausibility of predictions. The comparative performance of both types of modelling is also not known. Our objective is to investigate pCR probability in our study population using radiomics-based ML and AI-based modelling. We will also investigate the comparative performance of both modelling techniques. For DL based prediction modelling, we will attempt to provide biological plausibility on the basis of activation maps.

The purpose of this study is to assess the efficacy of the amivantamab and lazertinib combination, compared with osimertinib, in participants with epidermal growth factor receptor (EGFR) mutation (Exon 19 deletions \[Exon 19del\] or Exon 21 L858R substitution) positive, locally advanced or metastatic non-small cell lung cancer (NSCLC).