Cost-effectiveness of computed tomography screening for lung cancer in the United States.
Cost-effectiveness of computed tomography screening for lung cancer in the United States.
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DOI:
10.1097/jto.0b013e31822e59b3
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发表时间:
2011-11
期刊:
影响因子:
--
通讯作者:
Gazelle GS
中科院分区:
文献类型:
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作者:
McMahon PM;Kong CY;Bouzan C;Weinstein MC;Cipriano LE;Tramontano AC;Johnson BE;Weeks JC;Gazelle GS
A randomized trial has demonstrated that lung cancer screening reduces mortality. Identifying participant and program characteristics that influence the cost-effectiveness of screening will help translate trial results into benefits at the population level. Six U.S. cohorts (males and females aged 50, 60, or 70) were simulated in an existing patient-level lung cancer model. Smoking histories reflected observed U.S. patterns. We simulated lifetime histories of 500,000 identical individuals per cohort in each scenario. Costs per quality-adjusted life-year gained ($/QALY) were estimated for each program: CT screening; stand-alone smoking cessation therapies (4–30% 1-year abstinence); and combined programs. Annual screening of current and former smokers aged 50–74 cost between $126,000–$169,000/QALY (minimum 20 pack-years of smoking) or $110,000–$166,000/QALY (40 pack-year minimum), compared to no screening and assuming background quit rates. Screening was beneficial but had a higher cost per QALY when the model included radiation-induced lung cancers. If screen participation doubled background quit rates, the cost of annual screening (at age 50, 20 pack-year minimum) was below $75,000/QALY. If screen participation halved background quit rates, benefits from screening were nearly erased. If screening had no effect on quit rates, annual screening cost more but provided fewer QALYs than annual cessation therapies. Annual combined screening/cessation therapy programs at age 50 cost $130,500–$159,700/QALY, compared to annual stand-alone cessation. The cost-effectiveness of CT screening will likely be strongly linked to achievable smoking cessation rates. Trials and further modeling should explore the consequences of relationships between smoking behaviors and screen participation.