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April 1, 2026International Journal of Technology Assessment in Health Care0 citationsOpen Access

Considering research waste in economic evaluations of low-dose CT screening for lung cancer

JPJaime L. PetersTSTristan SnowsillSRSophie Robinson

Key Points

  • The aim is to review economic evaluations of low-dose CT screening for lung cancer in high-risk individuals and assess model development.
  • Systematic review of published literature on economic evaluations of LDCT screening.
  • Identification of 57 economic evaluations with a focus on model development.
  • Analysis of the trends in model publication and reporting quality.
  • Two-thirds of evaluations developed new decision-analytic models.
  • Only one of the 22 recent evaluations used a previously published model.
  • Challenges identified in quality of reporting and potential for research waste.

Abstract

With on-going 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 potential for 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 modelling methods in areas of complexity, such as screening for cancer.Ultimately, this should lead to policy-decisions based on the best available evidence.

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Cite This Study

Peters et al. (2026) studied this question.

synapsesocial.com/papers/69cd7a095652765b073a6dadhttps://doi.org/10.1017/s0266462326103687
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