Objective: To investigate trends of mean age of diagnosis for liver cancer during 2000 to 2014, which may provide basic information for making feasible cancer prevention strategies. Methods: Based on the continuous cancer incidence data from 22 cancer registries of China between 1 January 2000 and 31 December 2014, the incidence by birth-cohort (year of birth between 1925 and 1994) and age specific incidence rates were calculated. The incidence of different age groups were also calculated. World Segi's population was used for age standardization. The liner regression model was applied to analyze the changing trend of mean age of diagnosis. Results: In 2014, the incidence rate for population with 80 years older and above was 108.21 per 100 000, whereas the rate for population at 30-39 years old was 5.09 per 100 000. But the mean age of diagnosis for liver cancer showed an increasing trend from 2000 to 2014. For male, it had increased from 58.80 to 62.35 (t=18.70, P<0.001) . For female, it had increased from 64.02 to 68.99 (t=20.50, P<0.001) . After age standardization, the mean age of diagnosis still showed increasing trend. Meanwhile, the proportion of liver cancer in people above 70 years old was 25.05% in 2014, which was higher than that in 2000 (22.49%). Conclusion The mean age of liver cancer incidence was increasing during 2000-2014.

Objective To evaluate the effect of the 3D-printed heart model on congenital heart disease (CHD) education through systematic review and meta-analysis. Methods The literature about the application of the 3D-printed heart model in CHD education was systematically searched by computer from PubMed, Web of Science, and EMbase from inception to November 10, 2022. The two researchers independently screened the literature, extracted data and evaluated the quality of the literature. Cochrane literature evaluation standard was used to evaluate the quality of randomized controlled trials, and JBI evaluation scale was used for cross-sectional and cohort studies. Results After screening, 23 literatures were included, including 7 randomized controlled trials, 15 cross-sectional studies and 1 cohort study. Randomized controlled trials were all at low-risk, cross-sectional studies and and the cohort study had potential bias. There were 4 literatures comparing 3D printing heart model with 2D image teaching and the meta-analysis result showed that the effect of 3D printing heart model on theoretical achievement was more significant compared with 2D image teaching (SMD=0.31, 95%CI –0.28 to 0.91, P=0.05). Conclusion The application of the 3D-printed heart model in CHD education can be beneficial. But more randomized controlled trials are still needed to verify this result.