Skip to Main Content
Principal Investigator
Name
Nichole Tanner
Degrees
M.D.
Institution
Medical University of South Carolina
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-46
Initial CDAS Request Approval
Jan 9, 2014
Title
Development of a lung cancer risk score for Veterans
Summary
The purpose of this research is to compare the demographics of the elderly, Veterans, and minorities diagnosed with lung cancer to those diagnosed with lung cancer in the NLST. A cohort of patients with lung cancer diagnosed/treated at the VA from October 2002 until January 2012 will be identified from the VA Central Cancer Registry. The demographics, lung cancer specific and all-cause mortality outcomes, from this patient cohort will be compared with the same information from all participants in the NLST. Statistical analysis including t-test and Chi square test will be performed where appropriate to determine crude differences in the two populations. To determine whether there are differences in mortality (cause specific as well as all-cause), we will use Cox regression with time to death (measured in months) as an outcome in SAS PROC PHREG. The dependent variable (time to death) will be defined as time (months) between entry to the cohort and death. Those who did not die by the end of the study (January 2012) will be treated as censored observations.Utilizing published methodology from the PLCOm201213 we will determine if this previously validated lung cancer risk tools in a Veteran population diagnosed with stage 1A lung cancer would have predicted lung cancer in those diagnosed with lung cancer in the cohort. Lastly, Two cohorts of patients ages 65 to 69 and ages 70 to 74 diagnosed with stage 1A lung cancer from January 2000 to September 2010 will be created from the SEER-Medicare database. The demographics (including age, race, smoking history, and comorbidities), lung cancer specific and all-cause mortality outcomes from this patient database will be compared with the same information from all participants in the NLST. Statistical analysis including t-test and Chi square test will be performed where appropriate to determine crude differences in the two populations. To determine whether there are differences in mortality (cause specific as well as all-cause), we will use Cox regression with time to death (measured in months) as an outcome in SAS PROC PHREG. The dependent variable (time to death) will be defined as time (months) between entry to the cohort and death. Those who did not die by the end of the study (Sep 30, 2010) will be treated as censored observations.
Aims

Aim 1: Examine the demographics, comorbidities, lung cancer specific and all-cause mortality outcomes of Veterans diagnosed with lung cancer at the VA.
Aim 2: Examine the utility of previously validated lung cancer risk tools in a Veteran population diagnosed with stage 1A lung cancer.
Aim 3: Using the SEER-Medicare database, identify two cohorts of elderly people (ages 65-69 and 70-74) diagnosed with stage 1A LC and compare its demographics, lung cancer specific and all-cause mortality outcomes to age-matched controls diagnosed with LC from the NLST.

Collaborators

Mulugeta Gebregziabher, Biostatistician, MUSC
Lesley Leake, Study Coordinator, MUSC

Related Publications