Lung cancer screening helps reduce mortality. However, the risk prediction tool does not improve quality-adjusted life-years (QALYs) for lung cancer patients.
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‘Lung cancer death can be prevented in a higher-risk individual by using the risk prediction tool. However, the quality-adjusted life-years (QALYs) are also lowered in these patients.’
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Therefore, screening is recommended for persons between the ages of 55 and 74 years with a smoking history of at least 30 pack-years and former smokers who had no more than 15 years of smoking abstinence. However, targeting low-dose computed tomography (LDCT) for lung cancer screening to persons at highest risk for lung cancer mortality has been suggested as a way to improve screening efficiency.
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Researchers from Tufts Medical Center compared the cost-effectiveness of a risk-targeted screening strategy to that of using National Lung Screening trial (NLST) criteria by estimating the quality-adjusted life-years (QALYs) gained relative to the cost of screening with each of these strategies.
While high risk patients were more likely to have lung cancer detected, and targeted screening was more likely to avert lung cancer death over the seven years of the trial, those at higher risk were also older, had greater smoking exposure, and were more likely to have a preexisting diagnosis of chronic obstructive pulmonary disease.
These patients have a shorter life expectancy and a lower quality of life; this means that preventing a death in a higher-risk individual translates to fewer QALYs than preventing a death in someone at a lower risk.
Moreover, LDCT screening high risk patients is also more costly because it leads to more invasive testing. Thus, applying such a risk model to target screening is unlikely to lead to substantial improvement in the cost-effectiveness of LDCT screening in terms of QALYs gained compared to the NLST criteria.
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Although risk-based identification of persons who should be offered screening is empirically superior to using the current cutoffs, the more pressing concern is why people, regardless of how their eligibility is defined, are not receiving the test.
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Source-Eurekalert