Smoking Habit and Respiratory Function Predict Patients' Outcome after Surgery for Lung Cancer, Irrespective of Histotype and Disease Stage.
Davide PiloniFrancesco R BertuccioCristiano PrimiceriPietro RinaldiVittorio ChinoDavid Michael AbbottFederico SottotettiChandra BortolottoFrancesco AgustoniJessica SaddiGiulia Maria StellaPublished in: Journal of clinical medicine (2023)
Although the limited follow-up interval cannot allow conclusive remarks about prognosis, the results of this study suggest that both lung volumes and the degree of emphysema-related parenchymal damage are the strongest predictors of poor survival in lung cancer patients. Overall, these data point out that greater attention should be addressed to the therapeutic intervention for co-existing respiratory diseases to obtain optimal control of early lung cancer.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- randomized controlled trial
- chronic kidney disease
- chronic obstructive pulmonary disease
- working memory
- oxidative stress
- electronic health record
- smoking cessation
- machine learning
- respiratory tract
- big data
- deep learning
- free survival
- artificial intelligence