Arcturis Real-World Data Network
Public Register of Research
The following lists the research projects which have used or are using data from the Arcturis Real-World Data (RWD) Network research database. Research conducted by or with Arcturis outside of the RWD Network is not included.
PLEASE NOTE: Certain information may not be made publicly available at the same time as other information due to obligations to maintain commercial confidence or due to the ongoing nature of the research. Where this occurs, we provide as much information as possible initially and make more available when appropriate.
| Project Overview | Treatment Area Collection(s) | Outcomes of the Research |
| A retrospective observational study of patients with ovarian cancer to determine the clinical burden, treatment patterns, and disease progression in a real-world setting. | Oncology | Study report
Conference presentation (available here) |
| A retrospective observational study to assess incidence of key clinical outcomes of individuals diagnosed with endometrial cancer. | Oncology | Study report
Conference presentation (available here)
Journal publication (available here) |
| A retrospective observational study to assess the secondary care burden of disease and Healthcare Resource Utilisation costs of managing respiratory disease in the UK adults. | Infectious Disease | Study Report |
| A natural history study of patients with Non-Alcoholic Steatohepatitis, a disease that occurs when fat builds up in the liver causing inflammation and damage. | Metabolic Disease | Study report
Conference presentation (available here)
Conference presentation (available here) |
| A feasibility study to assess if enough patients could be identified for an External Control Arm study of patients with Multiple Myeloma, a type of blood cancer that affects plasma cells, to assess the efficacy of a new treatment. | Oncology | Study Report |
| An external control arm study of patients with Multiple Myeloma, a type of blood cancer that affects plasma cells, to assess the efficacy of a new treatment (https://doi.org/10.17605/OSF.IO/2J7QE). | Oncology | Study report
Conference presentation (available here)
Journal publication (available here) |
| A feasibility study to assess the number of patients with cancer-related cachexia, a condition that causes severe weight loss, muscle wasting, and fatigue, seen within UK hospitals. | Oncology | Study Report |
| A feasibility study to assess the number of patients with acute kidney injury seen within UK hospitals. | Chronic Kidney Disease | |
| A feasibility study to assess the number of patients being treated for rare and potentially life-threatening complications associated with stem cell transplantation within UK hospitals. | Cardiovascular Disease | |
| A feasibility study to assess whether a Post-Authorisation Safety Study relating to a treatment for Alzheimer’s disease can be conducted using routinely collected secondary care data. | Neurology | |
| A retrospective observation study of patients with a rare and aggressive type of lung cancer. | Oncology | |
| A research project aimed at improving the data provisioned to the RWD Network research database to allow for patient-associated Healthcare Resource Utilisation costs to be more accurately estimated. | Oncology and Infectious Disease | |
| A retrospective observational study to establish Healthcare Resource Utilisation use for moderate to severe psoriasis patients treated in UK hospitals. | Autoimmune | |
| A research project to assess the accuracy of ArcMAP; a machine learning-based data standardisation tool developed by Arcturis to facilitate mapping of clinical terms used by different trusts into a common vocabulary. | Oncology | Conference Presentation (available here) |
| A research project to assess the accuracy of ArcTEX; a machine learning-based data enrichment tool developed by Arcturis which extracts biomarker values from unstructured clinical notes (e.g. pathology reports) without revealing patient identifiable information. | Oncology | Journal publication (available here) |
| A retrospective observational study to establish the impact of chronic kidney disease misclassification on UK hospital admission rates. | Chronic Kidney Disease | |
| A natural history study to establish the role of prostate-specific antigen (PSA) in the survival of patients diagnosed with metastatic prostate cancer. | Oncology |
Glossary of Terms
| Term | Meaning |
| Biomarker | A biomarker (short for biological marker) is a measurable characteristic that indicates a biological condition or response. Biomarkers can be found in blood, body fluids, and tissues, and they serve as indicators of diseases, normal body functions, or responses to treatments. |
| Conference presentation | A brief summary of a research project that is submitted to a scientific or medical conference. It provides an overview of the main points, including the purpose, methods, results, and conclusions of the research. |
| Data extraction | The process of pulling useful information out of a larger source. |
| Data standardisation | The process of making the same type of data have the same basic features. |
| External control arm | An external control arm, or ECA, is a group of patients used for comparison in a clinical trial, but they are not part of the trial itself. Instead, their data comes from previous studies or real-world records. This method is used when it’s not feasible or ethical to have a control group within the trial. |
| Feasibility study | A preliminary study conducted to determine whether a larger, more comprehensive research project can be successfully carried out. |
| Healthcare Resource Utilisation | Healthcare Resource Utilisation (HCRU) refers to the services, treatments and expenses associated with the use of healthcare. Understanding HCRU helps in evaluating the economic impact of diseases and treatments, and it can guide decisions on healthcare policies and resource allocation to improve patient care and manage healthcare budgets effectively. |
| Metastatic cancer | Cancer which has spread to from its original location to other parts of the body. |
| Machine learning | A subset of artificial intelligence (AI) where algorithms learn from data to make predictions or decisions without explicit programming. |
| Natural history study | A natural history study follows a group of people over time to understand how a disease progresses. It helps researchers learn about the disease’s development and can provide a baseline for comparing the effects of new treatments. |
| Natural language processing | A field of artificial intelligence (AI) focused on enabling machines to understand, interpret, and respond to human language. |
| Post-Authorisation Safety Study | A Post-Authorisation Safety Study (PASS) is conducted after a medicine has been approved to gather more information about its safety. These studies help ensure that the medicine remains safe for use and can identify any long-term or rare side effects. |
| Research database | A structured collection of individual-level information, which is stored for potential research purposes beyond the life of a specific research project with defined endpoints. |
| Retrospective observational study | A retrospective observational study looks back at existing data to analyse outcomes. Researchers use past records to understand how certain factors might have affected health outcomes. |
| RWD Network | The Arcturis Real-World Data Network research database (IRAS Ref: 337154 | REC Ref: 24/YH/0164 | CAG Ref: 24/CAG/0096). |
| Study report | A detailed summary of a research project, presented as a formal report. It provides comprehensive information on the purpose, methods, results, and conclusions of the research. |
| Treatment Area Collection(s) | Treatment and diseases-themed collections of anonymised clinical data. These curated and standardised collections make up the Arcturis Real-World Data Network research database. |
| Unstructured data | Unstructured data refers to health-related information that isn’t organized in a standard format like a spreadsheet or database. Unlike structured health data (e.g. blood pressure readings or lab results stored in fixed fields), unstructured data is rich in detail but harder to analyse automatically. It often requires advanced tools like natural language processing (NLP) or AI to extract useful insights for research, audits, or improving patient care. |