Skip to main content
. Author manuscript; available in PMC: 2019 Jan 3.
Published in final edited form as: Ann Intern Med. 2018 May 29;169(1):1–9. doi: 10.7326/M17-2561

Table 1.

Model Parameters, Utilities, and Sources

Parameter Description Source
Lung Cancer Incidence Bach et. al. annual lung cancer incidence prediction model (25)
Lung Cancer Histology Prediction model developed for this study and derived from control arm of the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (18)
(see supplement for model development and accuracy)
Lung Cancer Stage Using Surveillance, Epidemiology, and End Results data, conditioned on gender and histology (23,24)
Lung Cancer Detectability Sensitivity of LDCT screen by stage, histology, and screening round; calibrated to National Lung Screening Trial (NLST) CT arm (31)
Lung Cancer-Specific Mortality Using Surveillance, Epidemiology, and End Results data and Cancer Survival Analysis Software, calibrated to NLST, and conditioned on gender, age group, histology and stage (1,29,32)
Other-Cause Mortality By age, sex, pack-years, and smoking status using a published model (23,24)
Baseline and Lung Cancer Utilities From National Lung Screening Trial cost-effectiveness analysis and the Cancer Care Outcomes Study (5,33)
Diagnostic tests, Diagnostic Complications, and Treatment By stage, as observed in NLST (1)
Disutilities (i.e., “degree of dislike” as deductions in days of quality-adjusted life): Base-case and range of values used in primary analyses (20)
Parameter Base-Case (20)* Favors Screening* Against Screening*
Screening & Follow-up Imaging −0.365 days −0.0365 days −3.65 days
Invasive Procedures −10.95 days −3.65 days −18.25 days
Minor Complication −3.65 days −1.825 days −7.3 days
Intermediate Complication −10.95 days −3.65 days −21.9 days
Major Complication −65.7 days −18.25 days −83.95 days
Surgery/Post-op period −65.7 days −18.25 days −83.95 days
Radiation and/or Chemotherapyγ −51.1 days −69.35 days −10.95 days
*

Disutilities result in short term decrements in quality of life. They are subtracted from a person’s baseline utility in each year that an event occurs. With the exception of screening and follow-up imaging, our disutilities and their ranges were the same as a prior cost-utility analysis (20), which derived values for disutilities using a systematic review of cost-utilitity assessments in oncology (34). We assigned disutility to the screening and follow-up test as discussed in the text.

γ

Radiation/chemotherapy works opposite from all other procedures/complications; a larger decrement in quality of life for radiation/chemotherapy (i.e., a more negative disutility) favors screening. This is because fewer patients in the screened cohort will be diagnosed with late-stage cancer due to the stage-shift with screening. Thus, fewer in the screened cohort will receive radiation/chemotherapy compared to no screening, so a higher chemo/radiation disutility advantages screening.