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- Arden Group | Epidemiology of Musculoskeletal Diseases Research Group
- Centre for Sport, Exercise and Osteoarthritis Research Group
- Judge Group | Health Service Delivery Research Group
- Prieto-Alhambra Group | Musculoskeletal Pharmaco- and Device epidemiology Research Group
- Big Health Data Research Research Group
- UK TASH-D Research Group
- BisCK Research Group
- ATLAS Research Group
- UTMoSt Research Group
Senior Database Manager
Dr Delmestri graduated in Computer Science at Udine University and completed her PhD in Information and Communication Technologies at Trento University, Italy. She has worked for several years as analyst programmer and software engineer in companies developing firmware and software for electronic devices and became senior in her role.
She moved to the U.K. in 2006 to join the Clinical Trial Service Unit (CTSU) at Oxford University, where she became part of the Early Breast Cancer Trialists' Collaborative Group (EBCTCG). She was in charge as Senior Analyst Programmer of several clinical studies including the whole IT management of ATLAS (Adjuvant Tamoxifen Longer Against Shorter), a long-term randomised controlled clinical trial in breast cancer involving more than 15,000 women recruited from over 600 sites in more than 20 countries worldwide.
In 2013 Dr Delmestri joined NDORMS to lead the data management of the Epidemiology Unit, whose main research interests focus on osteoarthritis, osteoporosis and fracture. She is in charge of a number of clinical studies, including:
- "COASt" (Clinical Outcomes in Arthroplasty Study), which aims to predict outcome for arthroplasty
- "SPORTs", which seeks to find possible relations of osteoarthritis with physical activity and specific sports (e.g. Rugby, Cricket), both at amateur and professional level
- "Subsequent Hip Fracture", which investigates the impact of osteoporosis guidance on bisphosphonate prescriptions and subsequent fracture amongst primary hip fracture UK patients within the NHS.
- "Osteoporotic Drugs Adverse Effects", which investigates the adverse effects of osteoporotic drugs amongst UK osteoporosis patients within the NHS.
Dr Delmestri's background allowed her to acquire a very solid and rich variety of computing technical skills, which comprises strong analytical, mathematical and logical thinking, problem solving, algorithm development and project management. She is an expert in engineering software solutions involving a mixed computing environment for the automation of large-scale and long-term national and international clinical studies. Her expertise includes design and development of interactive Graphical User Interfaces (GUIs), data modelling and database design using SQL Relational Database Management Systems (e.g. MySQL) together with ad-hoc software programs (e.g. in Python, C++, SQL, XHTML) and web applications (e.g. REDCap). She is experienced in the data processing and database management of big data for clinical research, including the Clinical Practice Research Datalink (CPRD) and the Hospital Episode Statistics (HES). Her skills cover also data safety & security, patient data confidentiality & protection and clinical questionnaire design.
Dr Delmestri is passionate about the role of high-standard computerised data management in clinical research and is committed to offer the best possible data quality in order to make statistical analysis results truly reliable and meaningful. She always welcomes new challenges and is enthusiastic about developing new skills and progressing in her academic career.
Davies C. et al, (2013), Lancet, 381, 805 - 816
Early Breast Cancer Trialists' Collaborative Group (EBCTCG) None. et al, (2011), Lancet, 378, 1707 - 1716
String similarity measures and PAM-like matrices for cognate identification
Delmestri A. and Cristianini N., (2010), Bucharest Working Papers in Linguistics
Delmestri A. and Cristianini N., (2012), JOURNAL OF QUANTITATIVE LINGUISTICS, 19, 95 - 120
Jones ME. et al, (2017), J Sci Med Sport
Davies MAM. et al, (2017), Sci Rep, 7
Hawley S. et al, (2017), Semin Arthritis Rheum
Gates LS. et al, (2017), Osteoarthritis Cartilage, 25, 892 - 898
DESCRIPTIVE EPIDEMIOLOGY OF HIP AND KNEE REPLACEMENT AMONG RHEUMATOID ARTHRITIS PATIENTS IN ENGLAND AND WALES: VARIATION BY AGE, SEX, GEOGRAPHY AND SOCIO-ECONOMIC STATUS
Hawley SJ. et al, (2017), RHEUMATOLOGY, 56, 111 - 112