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Incidence and survival of uveal melanoma in Northern Ireland: how incomplete data can skew results in rare cancers.

Hibba QuhillJoanna M JefferisIan G RennieSachin M SalviAnna GavinDeirdre FitzpatrickGerard SavageDavid CurraghPaul Rundle
Published in: Eye (London, England) (2022)
This study illustrates the impact of incomplete population-wide data, serving as a real-world lesson in case-identification bias. Rare cancers are at higher risk of omission due to systemic failures as the small numbers involved are not detected by system-wide validation procedures. Following this study, data-transfer agreements between England and NI were actioned, preventing future data-omissions. We present survival and incidence data for UM in NI for the first time, showing the incidence is amongst the highest in Europe, with good survival rates.
Keyphrases
  • electronic health record
  • big data
  • risk factors
  • machine learning
  • free survival
  • deep learning