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• W3134902503 abstract "An increasing number and proportion of younger lung cancer patients have been observed worldwide, raising concerns on the optimal age to begin screening. This study aimed to investigate the association between age and findings in initial CT scans.We searched for low-dose CT screening cohorts from electronic databases. Single-arm syntheses weighted by sample size were performed to calculate the detection rates of pulmonary nodules, lung cancers (all stages and stage I), and the proportion of stage I diseases in lung cancers. In addition, we included patients who underwent chest CT in our center as a supplementary cohort. The correlation between the detection rates and age was evaluated by the Pearson Correlation Coefficient.A total of 37 studies involving 163,442 participants were included. We found the detection rates of pulmonary nodules and lung cancers increased with age. However, the proportion of stage I diseases in lung cancers declined with increased starting age and was significantly higher in the 40-year group than in other groups (40 vs. 45, 50, 55, P<0.001). In addition, the ratio of early-stage lung cancer to the number of nodules declined with age. Similarly, in our center, the detection rates of nodules (R2=0.86, P≤0.001), all lung cancer (R2=0.99, P≤0.001) and stage I diseases (R2=0.87, P=0.001) increased with age, while the proportion of stage I diseases consistently declined with age (R2=0.97, P≤0.001).Starting lung cancer screening at an earlier age is associated with a higher probability of identifying a curable disease, urging future research to determine the optimal starting age." @default.
• W3134902503 created "2021-03-15" @default.
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• W3134902503 date "2021-03-01" @default.
• W3134902503 modified "2023-09-25" @default.
• W3134902503 title "Lung cancers and pulmonary nodules detected by computed tomography scan: a population-level analysis of screening cohorts" @default.
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• W3134902503 doi "https://doi.org/10.21037/atm-20-5210" @default.
• W3134902503 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8033365" @default.
• W3134902503 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33842593" @default.
• W3134902503 hasPublicationYear "2021" @default.
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