Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCOm2012 risk prediction tool. Issue 2 (21st April 2017)

• Record Type: Journal Article
• Authors: Weber, Marianne; Yap, Sarsha; Goldsbury, David; Manners, David; Tammemagi, Martin; Marshall, Henry; Brims, Fraser; McWilliams, Annette; Fong, Kwun; Kang, Yoon Jung; Caruana, Michael; Banks, Emily; Canfell, Karen
• Is Part Of: International journal of cancer. Volume 141:Issue 2(2017:Jul. 15)
• Page Start: 242
• Page End: 253
• Publication Date: 2017-04-21
• Subjects: risk prediction model -- lung cancer -- mass screening -- low dose computed tomography; Cancer -- Periodicals; Cancer -- Prevention -- Periodicals; 616.994
• DOI: 10.1002/ijc.30673
• Languages: English
• ISSNs: 0020-7136

Abstract

Abstract : Lung cancer screening with computerised tomography holds promise, but optimising the balance of benefits and harms via selection of a high risk population is critical. PLCOm2012 is a logistic regression model based on U.S. data, incorporating sociodemographic and health factors, which predicts 6‐year lung cancer risk among ever‐smokers, and thus may better predict those who might benefit from screening than criteria based solely on age and smoking history. We aimed to validate the performance of PLCOm2012 in predicting lung cancer outcomes in a cohort of Australian smokers. Predicted risk of lung cancer was calculated using PLCOm2012 applied to baseline data from 95, 882 ever‐smokers aged ≥45 years in the 45 and Up Study (2006–2009). Predictions were compared to lung cancer outcomes captured to June 2014 via linkage to population‐wide health databases; a total of 1, 035 subsequent lung cancer diagnoses were identified. PLCOm2012 had good discrimination (area under the receiver‐operating‐characteristic‐curve; AUC 0.80, 95%CI 0.78–0.81) and excellent calibration (mean and 90th percentiles of absolute risk difference between observed and predicted outcomes: 0.006 and 0.016, respectively). Sensitivity (69.4%, 95%CI, 65.6–73.0%) of the PLCOm2012 criteria in the 55–74 year age group for predicting lung cancers was greater than that using criteria based on ≥30 pack‐years smoking and ≤15 years quit (57.3%, 53.3‐61.3%; p < 0.0001), but specificity was lower (72.0%, 71.7–72.4% versus 75.2%, 74.8–75.6%, respectively; p < 0.0001). Targeting high risk people for lung cancer screening using PLCOm2012 might improve the balance of benefits versus harms, and cost‐effectiveness of lung cancer screening. Abstract : What's new? Patient selection for lung cancer screening with computed tomography may be enhanced with the use of PLCOm2012, a risk assessment tool incorporating sociodemographic and health factors into screening eligibility criteria. PLCOm2012 is considered superior to existing National Lung Screening Trial (NLST) eligibility criteria (primarily age and smoking history), although data for populations beyond the United States is limited. Here, in a cohort of 95, 822 smokers in Australia, PLCOm2012 demonstrated excellent predictive performance. Positive predictive value and sensitivity were higher, with minimal specificity loss, compared with NLST criteria. The improved efficiency and cost‐effectiveness of PLCOm2012 could have significant implications for lung cancer screening in Australia.