1 paper2 findings
Lung cancer prediction sensitivity
upin humans1
CPH-Lung increases lung cancer prediction sensitivity in humans (57.6% versus 39.2%; P < .0001).
“sensitivities were 57.6% versus 39.2% in women (P < .0001)”
HumansEver-smokers; comparison with PLCOm2012 at 77.7% specificity6 yearsfemales
Model using blood tests better predicts lung cancer risk
Journal of clinical oncology : official journal of the American Society of Clinical Oncology12 Oct 2026
6-year lung cancer risk
upin humans1
CPH-Lung predicts 6-year lung cancer risk in humans (AUC 0.783 (95% CI 0.731–0.835) versus 0.720 (95% CI 0.669–0.770); P = .0059).
“the CPH-Lung versus the PLCOm2012 yielded AUCs of 0.783 (95% CI, 0.731 to 0.835) versus 0.720 (95% CI, 0.669 to 0.770)”
HumansEver-smokers in CCHS; comparison with PLCOm20126 yearsn = 3,195
Model using blood tests better predicts lung cancer risk
Journal of clinical oncology : official journal of the American Society of Clinical Oncology12 Oct 2026
In 3,195 Danish people who had smoked, a score measuring predictive performance was 0.783 for the model versus 0.720 for an established model.In 3,195 Danish people who had smoked, a score measuring predictive performance was 0.783 for the model versus 0.720 for an established model.