What is the impact of death data linkage on cancer survival statistics?

• A. It delays the computation of survival statistics.
• B. It improves accuracy by correctly classifying deaths, reducing bias in survival estimates.
• C. It only affects incidence, not survival.
• D. It increases the number of deaths reported regardless of actual deaths.

Answer: (B)

Death data linkage involves connecting cancer registry records with vital statistics to confirm who has died and when. This directly affects survival statistics by ensuring that deaths are correctly identified and the follow-up period ends at the actual death date. When deaths are missed or misclassified, patients who have died can be counted as alive or censored, which biasedly distorts survival estimates. By achieving accurate death ascertainment, survival curves and related measures become more valid and less biased. It doesn’t artificially increase death counts or delay computation in a way that changes the true results; the main benefit is improved accuracy of survival estimates through correct classification of mortality.