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Determining the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol.
Claridge, Hugh; Price, Claire A; Ali, Rofique; Cooke, Elizabeth A; de Lusignan, Simon; Harvey-Sullivan, Adam; Hodges, Catherine; Khalaf, Natalia; O'Callaghan, Dean; Stunt, Ali; Thomas, Spencer A; Thomson, Joanna; Lemanska, Agnieszka.
Afiliação
  • Claridge H; School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK h.claridge@surrey.ac.uk.
  • Price CA; National Physical Laboratory, Teddington, UK.
  • Ali R; School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
  • Cooke EA; National Physical Laboratory, Teddington, UK.
  • de Lusignan S; Tower Hamlets Network 1 Primary Care Network, London, UK.
  • Harvey-Sullivan A; National Physical Laboratory, Teddington, UK.
  • Hodges C; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Khalaf N; Tower Hamlets Network 1 Primary Care Network, London, UK.
  • O'Callaghan D; Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
  • Stunt A; Surrey and Sussex Cancer Alliance, Guildford, UK.
  • Thomas SA; Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
  • Thomson J; Tower Hamlets Network 1 Primary Care Network, London, UK.
  • Lemanska A; Pancreatic Cancer Action, Oakhanger, Hampshire, UK.
BMJ Open ; 14(1): e079863, 2024 01 22.
Article em En | MEDLINE | ID: mdl-38262635
ABSTRACT

INTRODUCTION:

Worldwide, pancreatic cancer has a poor prognosis. Early diagnosis may improve survival by enabling curative treatment. Statistical and machine learning diagnostic prediction models using risk factors such as patient demographics and blood tests are being developed for clinical use to improve early diagnosis. One example is the Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) model, which employs patients' age, blood glucose and weight changes to provide pancreatic cancer risk scores. These values are routinely collected in primary care in the UK. Primary care's central role in cancer diagnosis makes it an ideal setting to implement ENDPAC but it has yet to be used in clinical settings. This study aims to determine the feasibility of applying ENDPAC to data held by UK primary care practices. METHODS AND

ANALYSIS:

This will be a multicentre observational study with a cohort design, determining the feasibility of applying ENDPAC in UK primary care. We will develop software to search, extract and process anonymised data from 20 primary care providers' electronic patient record management systems on participants aged 50+ years, with a glycated haemoglobin (HbA1c) test result of ≥48 mmol/mol (6.5%) and no previous abnormal HbA1c results. Software to calculate ENDPAC scores will be developed, and descriptive statistics used to summarise the cohort's demographics and assess data quality. Findings will inform the development of a future UK clinical trial to test ENDPAC's effectiveness for the early detection of pancreatic cancer. ETHICS AND DISSEMINATION This project has been reviewed by the University of Surrey University Ethics Committee and received a favourable ethical opinion (FHMS 22-23151 EGA). Study findings will be presented at scientific meetings and published in international peer-reviewed journals. Participating primary care practices, clinical leads and policy makers will be provided with summaries of the findings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Diabetes Mellitus Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Diabetes Mellitus Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article