Lung Cancer - Non Small Cell Squamous
Conditions
Keywords
Smoking cessation, Lung cancer, Survival, Tobacco
Brief summary
Between 2010-2020, the LungCAst observational study followed 3700 patients newly diagnosed with lung cancer across 33 hospitals in Wales and England for 2 years to see if smoking status at time of diagnosis predicted survival rate. This research was sponsored and led by Hywel Dda University Health Board (HDUHB). This new study examines the health records, (of only the HDUHB participants included in the original LungCAst study), over a longer period of time to see if the benefits of stopping smoking at point of diagnosis with lung cancer continues over a longer period of time (5 years+).
Detailed description
A study into longer-term outcomes from the LUNGCAST study: comparing survival and healthcare utilisation according to smoking status in people with lung cancer, beyond 2 years. By obtaining Hospital Episode Statistics (HES) extract from the Welsh Patient Administration System (WPAS) and Welsh Clinical Portal (WCP) the investigators can retrospectively follow the cohort participants over time and analyse health care utilisation activity, using univariate and multivariate analysis on the effect of smoking status on survival. The Kaplan-Meier method, will be used to estimate the probability of survival over time.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
All patients from the Hywel Dda University Health Board's(HDUHB) site that participated in the original LungCast study
Exclusion criteria
* Individuals that did not participate in the original LungCast study in the HDUHB site.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Comparison of longer-term (5 year+) outcomes (survival) of smokers, ex-smokers and never smokers diagnosed with lung cancer between 2010 and 2020 | From date of diagnosis (of having lung cancer) for 5 years | Following participants with lung cancer over a 5 year period, by reviewing ongoing healthcare activity via HES extraction and applying the Kaplan-Meier method, to evaluate if smoking status at diagnosis predicts better survival rates over a longer period of time. Univariate and multivariate analysis on the effect of smoking status on survival will also be applied. |
Countries
United Kingdom