Real-World Treatment Patterns and Survival Outcomes for Patients with Non-Metastatic Non-Small-Cell Lung Cancer in Sweden: A Nationwide Registry Analysis from the I-O Optimise Initiative.
Gudrun N OskarsdottirErik LampaAnders BerglundLinda RosengrenMaria UlvestadMiklos BorosMelinda J DaumontCaroline RaultGabrielle EmanuelCátia LealMinouk J SchoemakerGunnar WageniusPublished in: Cancers (2024)
Non-small-cell lung cancer (NSCLC) is the leading cause of cancer-related death worldwide, with ~40-50% of patients diagnosed with non-metastatic disease (stages IA-IIIC). The treatment landscape is evolving rapidly as immunotherapies and targeted therapy are introduced in the non-metastatic setting, creating a need to assess patient outcomes prior to their introduction. This real-world study using Swedish National Lung Cancer Registry data examined outcomes (overall survival (OS) and time to next treatment or death (TTNTD)) and treatment patterns for adults diagnosed with non-metastatic NSCLC. Baseline characteristics and OS from diagnosis were described for all patients; OS, treatment patterns, and TTNTD from treatment start were described for the treatment subgroup (patients diagnosed from 2014 onwards), stratified by disease stage and initial treatment. OS and TTNTD were described using the Kaplan-Meier estimator. The overall population (2008-2019) included 17,433 patients; the treatment subgroup included 5147 patients. Median OS (interquartile range) overall ranged from 83.3 (31.6-165.3) months (stage I patients) to 10.4 (4.3-24.2) months (stage IIIB patients). Among the treatment subgroup, median OS and TTNTD were longest among patients receiving surgery versus other anticancer treatments. These findings provide a baseline upon which to evaluate the epidemiology of non-metastatic NSCLC as newer treatments are introduced.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- small cell lung cancer
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- type diabetes
- machine learning
- adipose tissue
- risk factors
- acute coronary syndrome
- deep learning
- combination therapy
- cross sectional
- advanced non small cell lung cancer
- insulin resistance
- skeletal muscle
- electronic health record
- single cell
- coronary artery bypass
- weight loss
- epidermal growth factor receptor