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Considering research waste in economic evaluations of low-dose computed tomography screening for lung cancer
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DOI：10.1017/S0266462326103687.png)
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Abstract
En 中文
With the ongoing discussion around the implementation of low-dose computed tomography (LDCT) screening for lung cancer; increasing numbers of model-based economic evaluations have been conducted. We systematically reviewed the published literature for economic evaluations of LDCT screening for lung cancer in people at high risk; updating this review in 2024. We identified a total of 57 economic evaluations; two-thirds of which developed de novo decision-analytic models. In our most recent update; of the 22 economic evaluations identified; only one used a model published before 2021. There may be advantages to developing new models; but the huge possibility of research waste cannot be ignored. Better quality of reporting (both in terms of clarity and completeness); improving the availability of existing models; and comparative analysis of different models can help to advance modeling methods in areas of complexity; such as screening for cancer. Ultimately; this should lead to policy decisions based on the best available evidence.
Keywords:
lung neoplasms
early detection of cancer
cost–benefit analysis
access to information
Tomography
X-Ray Computed
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