SELECT
Research type
Research Study
Full title
Selection of Eligible People for Lung Cancer Screening using Electronic Primary Care DaTa: Development of new risk prediction models.
IRAS ID
269233
Contact name
David Baldwin
Contact email
Sponsor organisation
Nottingham University Hospitals
Duration of Study in the UK
1 years, 1 months, 1 days
Research summary
In this study we will develop ways to predict who might develop lung cancer in the future as a way of selecting them for screening for lung cancer with computed tomography (CT) scans. CT scans pick up lung cancer at an earlier stage when it can be cured. We have so far completed work using anonymous patient data recorded in a large research primary care dataset, the Clinical Practice Research Datalink (CPRD)to test existing mathematical risk prediction models and currently we are developing new ones. We will then further test and improve the new model by testing it in routinely collected anonymous primary care data via Primis, which has data very similar to CPRD. We will also find how much of the data required to predict who will get lung cancer is actually recorded to find out if our model can be used for the majority of patients, or whether we need to modify it. We will decide if we need to collect further information from patients to make the model more accurate.
The section relevant to this application:
We will use the databases of people diagnosed with lung cancer at Nottingham University Hospitals and Leeds Teaching Hospitals to test to see how many people with lung cancer would have been selected by our model using data at least 2 years before they developed their lung cancer, when if they had been screened, the CT would have caught the cancer early. We will anonymise the data before analysis.Finally we will look at the cost effectiveness of our model compared with others.
REC name
N/A
REC reference
N/A