Login / Signup

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study.

David E GoldsburyMarianne F WeberKaren CanfellDianne L O'Connell
Published in: BMC research notes (2019)
The more recent hospital diagnosis data were valid for identifying incident cases for the six cancer types, with sensitivities 81-94% and PPVs 86-96%. However, 2-10% of cases were identified > 3 months after the registry's diagnosis date and detailed clinical cancer information was unavailable. The level of identification was generally higher for cases aged < 80 years, those with known disease stage and cases living in higher socioeconomic areas. The inclusion of death records increased sensitivity for some cancer types, but requires caution due to potential false-positive cases. This study validates the use of hospital diagnosis records for identifying incident cancer cases.
Keyphrases
  • papillary thyroid
  • squamous cell
  • healthcare
  • cardiovascular disease
  • emergency department
  • machine learning
  • electronic health record
  • big data
  • young adults
  • acute care
  • artificial intelligence
  • adverse drug