Liverpool Lung Project lung cancer risk stratification model: calibration and prospective validation

被引:30
|
作者
Field, John K. [1 ]
Vulkan, Daniel [2 ]
Davies, Michael P. A. [1 ]
Duffy, Stephen W. [2 ]
Gabe, Rhian [2 ]
机构
[1] Univ Liverpool, Fac Hlth & Life Sci, Mol & Clin Canc Med, Liverpool L69 3BX, Merseyside, England
[2] Queen Mary Univ London, Wolfson Inst Prevent Med, Ctr Canc Prevent, London, England
关键词
imaging; CT MRI etc; lung cancer; TRIAL; MORTALITY; SELECTION; IMPACT; ARM;
D O I
10.1136/thoraxjnl-2020-215158
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Early detection of lung cancer saves lives, as demonstrated by the two largest published low-dose CT screening trials. Optimal implementation depends on our ability to identify those most at risk. Methods Version 2 of the Liverpool Lung Project risk score (LLPv2) was developed from case-control data in Liverpool and further adapted when applied for selection of subjects for the UK Lung Screening Trial. The objective was to produce version 3 (LLPv3) of the model, by calibration to national figures for 2017. We validated both LLPv2 and LLPv3 using questionnaire data from 75 958 individuals, followed up for lung cancer over 5 years. We validated both discrimination, using receiver operating characteristic (ROC) analysis, and absolute incidence, by comparing deciles of predicted incidence with observed incidence. We calculated proportionate difference as the percentage excess or deficit of observed cancers compared with those predicted. We also carried out Hosmer-Lemeshow tests. Results There were 599 lung cancers diagnosed over 5 years. The discrimination of both LLPv2 and LLPv3 was significant with an area under the ROC curve of 0.81 (95% CI 0.79 to 0.82). However, LLPv2 overestimated absolute risk in the population. The proportionate difference was -58.3% (95% CI -61.6% to -54.8%), that is, the actual number of cancers was only 42% of the number predicted. In LLPv3, calibrated to national 2017 figures, the proportionate difference was -22.0% (95% CI -28.1% to -15.5%). Conclusions While LLPv2 and LLPv3 have the same discriminatory power, LLPv3 improves the absolute lung cancer risk prediction and should be considered for use in further UK implementation studies.
引用
收藏
页码:161 / 168
页数:8
相关论文
共 50 条
  • [1] LLPi: Liverpool Lung Project Risk Prediction Model for Lung Cancer Incidence
    Marcus, Michael W.
    Chen, Ying
    Raji, Olaide Y.
    Duffy, Stephen W.
    Field, John K.
    CANCER PREVENTION RESEARCH, 2015, 8 (06) : 570 - 575
  • [2] Calibration of the LLP Lung Cancer Risk Stratification Model: Prospective Validation in the UKLS Cohort of 76,000 People
    Field, J.
    Vulkan, D.
    Davies, M.
    Duffy, S.
    Gabe, R.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (03) : S212 - S212
  • [3] The Liverpool Lung Project risk model: An independent validation and clinical utility in primary care
    Field, John K.
    Raji, Olaide Y.
    Cassidy, Adrian
    Duffy, Stephen W.
    Baker, Stuart G.
    Christiani, David C.
    CANCER RESEARCH, 2011, 71
  • [4] Incorporation of a Genetic Factor into an Epidemiologic Model for Prediction of Individual Risk of Lung Cancer: The Liverpool Lung Project
    Raji, Olaide Y.
    Agbaje, Olorunsola F.
    Duffy, Stephen W.
    Cassidy, Adrian
    Field, John K.
    CANCER PREVENTION RESEARCH, 2010, 3 (05) : 664 - 669
  • [5] Predictive Accuracy of the Liverpool Lung Project Risk Model RESPONSE
    Field, John K.
    Raji, Olaide Y.
    Duffy, Stephen W.
    ANNALS OF INTERNAL MEDICINE, 2013, 158 (07) : 568 - 569
  • [6] Factors associated with dropout in a lung cancer high-risk cohort - the Liverpool lung project
    Marcus, Michael W.
    Raji, Olaide Y.
    Chen, Ying
    Duffy, Stephen W.
    Field, John K.
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2014, 44 (06) : 2146 - 2152
  • [7] Predictive Accuracy of the Liverpool Lung Project Risk Model for Stratifying Patients for Computed Tomography Screening for Lung Cancer A Case-Control and Cohort Validation Study
    Raji, Olaide Y.
    Duffy, Stephen W.
    Agbaje, Olorunshola F.
    Baker, Stuart G.
    Christiani, David C.
    Cassidy, Adrian
    Field, John K.
    ANNALS OF INTERNAL MEDICINE, 2012, 157 (04) : 242 - +
  • [8] Impact of comorbidity on lung cancer mortality - a report from the Liverpool Lung Project
    Marcus, Michael W.
    Chen, Ying
    Duffy, Stephen W.
    Field, John K.
    ONCOLOGY LETTERS, 2015, 9 (04) : 1902 - 1906
  • [9] THE LIVERPOOL HEALTHY LUNG PROJECT - SEEKING OUT EARLY STAGE LUNG CANCER
    Ledson, M. J.
    Grundy, S.
    Gaynor, E.
    Arvanitis, R.
    Timoney, M.
    Field, J.
    THORAX, 2016, 71 : A138 - A139
  • [10] Liverpool prediction model shows promise for judging lung cancer risk
    Crisp, Alisa
    LUNG CANCER MANAGEMENT, 2012, 1 (03) : 161 - 162