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Title: The LLP risk model : an individual risk prediction model for lung cancer
Author: Cassidy, Adrian Francis.
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2007
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Background: Lung cancer is the leading cause of cancer mortality worldwide. Within the framework of the Liverpool Lung Project (LLP), population-based case-control and prospective cohort studies are in progress to identify molecular and epidemiological risk factors and define populations and individuals most at risk of developing the disease. An accurate, objective lung cancer risk prediction model could help healthcare professionals assess patients' risks and improve the decisions about preventive interventions or surveillance. This thesis uses a model-based approach to estimate the probability that an individual, with a specified combination of risk factors, will develop lung cancer within a 5-year period. Methods: 579 lung cancer cases and 1157 age- and gender-matched population-based controls were recruited between 1998 and 2005 and thus, were available for these analyses. A standardised questionnaire collected detailed information on socioeconomic and demographic characteristics, medical history, family history of cancer, tobacco smoking and lifetime occupational history. As a flfSt step in the development of a risk prediction model, the case-control data were analysed to identify significant lung cancer risk factors and subsequently fitted into multivariate conditional logistic regression models. The fmal multivariate model was combined with age-standardised lung cancer incidence data to calculate absolute risk estimates. Results: Significant risk factors identified included smoking duration (p
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available