Impact of the National Lung Screening Trial (NLST) publication and Medicare Lung cancer screening payment on lung cancer incidence rates: An interrupted time series analysis.

INTRODUCTION: Explore the impact of the Lung Cancer Screening Trial (NLST-September-2011) and the Medicare approval for CT-screening (CT-LCS-AP-February-2015) on lung cancer incidence rates, mortality, and the percentage of early-stage lung cancer diagnosis (ESLCD-T1-T2N0M0). METHODS: Retrospective interrupted time series analysis using SEER-18 database. All individuals with lung cancer (LC) diagnosis from 2006 to 2016 were included. The effect of NLST and CT-AP-2015 on the monthly percentage of early-stage ESLCD was the primary outcome, additionally LC incidence and mortality rates were calculated. The analysis was performed by age, sex, race, marital status, insurance status, and household income. Bivariate and multivariate models were used to identify predictors of ESLCD. RESULTS: The study cohort was composed by 388,207 individuals, 69 years old in average, 46.6 % female, and 81.1 % white. LC incidence and mortality rates declined from 2006 to 2016 without association with NLST-September-2011 and CT-LCS-AP-February-2015. The percentage of ESLCD increased over time for all groups. Overall rates of ESLCD started at 18 % in January-2006 and increased to 25 % by December-2016. The intervention NLST-2011 did not show an impact in the ESLCD while the CT-AP-2015 showed a significant impact in the ESLCD trend (p < 0.001). ESLCD was associated with female, white, insurance, and household incomes above median. Medicare expansion was a significant factor for insured group, married patients and those from households under the median income level. CONCLUSION: Medicare approval for CT screening was found to have a statistically significant effect on the diagnosis of early-stage lung cancer and neither NLST-September-2011 nor CT-AP-2015-February-2015 impacted the incidence nor mortality rates. POLICY SUMMARY: To improve early-stage lung cancer diagnosis, it is vital to invest in health policies to increase Lung Cancer Screening implementation and to reduce disparities in access to diagnosis. Furthermore, policies that facilitate access to diagnosis and treatment are crucial to reduce lung cancer mortality.

Factors associated with diagnosis of stages I and II lung cancer: a multivariate analysis.

OBJECTIVE: To present the overall survival rate for lung cancer and identify the factors associated with early diagnosis of stage I and II lung cancer. METHODS: This is a retrospective cohort study including individuals diagnosed with lung cancer, from January 2009 to December 2017, according to the cancer registry at UMass Memorial Medical Center. Five-year overall survival and its associated factors were identified by Kaplan-Meier curves and Cox's proportional hazards model. Factors associated with diagnosing clinical stage I and II lung cancer were identified by bivariate and multivariate backward stepwise logistic regression (Log-likelihood ratio (LR)) at 95% confidence interval (CI). RESULTS: The study was conducted with data on 2730 individuals aged 67.9 years on average, 51.5% of whom female, 92.3% white, and 6.6% never smoked. Five-year overall survival was 21%. Individuals diagnosed with early-stage disease had a 43% five-year survival rate compared to 8% for those diagnosed at late stages. Stage at diagnosis was the main factor associated with overall survival [HR = 4.08 (95%CI: 3.62-4.59)]. Factors associated with early diagnosis included patients older than 68 years [OR = 1.23 (95%CI: 1.04-1.45)], of the female gender [OR = 1.47 (95%CI: 1.24-1.73)], white [OR = 1.63 (95%CI: 1.16-2.30)], and never-smokers [OR = 1.37 (95%CI: 1.01-1.86)]; as well as tumors affecting the upper lobe [OR = 1.46 (95%CI: 1.24-1.73)]; adenocarcinoma [OR = 1.43 (95%CI: 1.21-1.69)]; and diagnosis after 2014 [OR = 1.61 (95%CI: 1.37-1.90)]. CONCLUSIONS: Stage at diagnosis was the most decisive predictor for survival. Non-white and male individuals were more likely to be diagnosed at a late stage. Thus, promoting lung cancer early diagnosis by improving access to health care is vital to enhance overall survival for individuals with lung cancer.

Factors associated with diagnosis of stages I and II lung cancer: a multivariate analysis

ABSTRACT OBJECTIVE To present the overall survival rate for lung cancer and identify the factors associated with early diagnosis of stage I and II lung cancer. METHODS This is a retrospective cohort study including individuals diagnosed with lung cancer, from January 2009 to December 2017, according to the cancer registry at UMass Memorial Medical Center. Five-year overall survival and its associated factors were identified by Kaplan-Meier curves and Cox's proportional hazards model. Factors associated with diagnosing clinical stage I and II lung cancer were identified by bivariate and multivariate backward stepwise logistic regression (Log-likelihood ratio (LR)) at 95% confidence interval (CI). RESULTS The study was conducted with data on 2730 individuals aged 67.9 years on average, 51.5% of whom female, 92.3% white, and 6.6% never smoked. Five-year overall survival was 21%. Individuals diagnosed with early-stage disease had a 43% five-year survival rate compared to 8% for those diagnosed at late stages. Stage at diagnosis was the main factor associated with overall survival [HR = 4.08 (95%CI: 3.62-4.59)]. Factors associated with early diagnosis included patients older than 68 years [OR = 1.23 (95%CI: 1.04-1.45)], of the female gender [OR = 1.47 (95%CI: 1.24-1.73)], white [OR = 1.63 (95%CI: 1.16-2.30)], and never-smokers [OR = 1.37 (95%CI: 1.01-1.86)]; as well as tumors affecting the upper lobe [OR = 1.46 (95%CI: 1.24-1.73)]; adenocarcinoma [OR = 1.43 (95%CI: 1.21-1.69)]; and diagnosis after 2014 [OR = 1.61 (95%CI: 1.37-1.90)]. CONCLUSIONS Stage at diagnosis was the most decisive predictor for survival. Non-white and male individuals were more likely to be diagnosed at a late stage. Thus, promoting lung cancer early diagnosis by improving access to health care is vital to enhance overall survival for individuals with lung cancer.