Selecting the risk cut off for the LLP model.
However, little is known about the performance of risk prediction models across different risk thresholds. The UKLS trial utilised the Liverpool Lung Project risk model (LLPv2) with a risk threshold of 5% for 5-year LC incidence as the selection criteria in the trial [2]. The UKLS yielded a 1.7% LC detection rate at baseline, which was higher than the NLST or NELSON trials [3]. This study evaluates the performance of different risk thresholds for the selection of individuals for lung cancer screening utilising the LLPv2 model.
References:
[1] ten Haaf, Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study, PLOS Medicine, 2017
[2] Baldwin, UK Lung Screen (UKLS) nodule management protocol: modelling of a single screen randomised controlled trial of low-dose CT screening for lung cancer, Thorax, 2011.
[3] Field, UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening , Thorax, 2016
To investigate the performance of the LLPv2 model thresholds for the selection of individuals for lung cancer screening over a range of risk thresholds.
Harry J. de Koning (Erasmus Medical Center)
John K. Field (University of Liverpool)
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Selection of eligible participants for screening for lung cancer using primary care data.
O'Dowd EL, Ten Haaf K, Kaur J, Duffy SW, Hamilton W, Hubbard RB, Field JK, Callister ME, Janes SM, de Koning HJ, Rawlinson J, Baldwin DR
Thorax. 2021 Oct 29 PUBMED