Avoiding lead-time bias by estimating stage-specific proportions of cancer and non-cancer deaths.

Ellen T ChangChristina A ClarkeGraham A ColditzAllison W KurianEarl Hubbell

Published in: Cancer causes & control : CCC (2024)

Across all cancer types, the percentage of patients who went on to die from their cancer was over three times greater when the cancer was diagnosed at stage IV than stages I-II. As mortality patterns are not influenced by lead-time bias, these data suggest that earlier detection is likely to improve outcomes across cancer types, including those currently unscreened.

Keyphrases

papillary thyroid
squamous cell
childhood cancer
risk factors
metabolic syndrome
cardiovascular disease
machine learning
young adults
coronary artery disease
big data
quantum dots
artificial intelligence