Identifying patients with undiagnosed small intestinal neuroendocrine tumours in primary care using statistical and machine learning: model development and validation study.

Journal: British journal of cancer
Published Date: Jun 3, 2024

Abstract

BACKGROUND: Neuroendocrine tumours (NETs) are increasing in incidence, often diagnosed at advanced stages, and individuals may experience years of diagnostic delay, particularly when arising from the small intestine (SI). Clinical prediction models could present novel opportunities for case finding in primary care.

Authors

  • Ash Kieran Clift
    Mendelian, The Trampery Old Street, London, UK. ashley@mendelian.co.
  • Hadley Mahon
    Mendelian, The Trampery Old Street, London, UK.
  • Ghazanfar Khan
    Mendelian, The Trampery Old Street, London, UK.
  • Freya Boardman-Pretty
    Mendelian, The Trampery Old Street, London, UK.
  • Amanda Worker
    Mendelian, The Trampery Old Street, London, UK.
  • Elena Marchini
    Mendelian, The Trampery Old Street, London, UK.
  • Orlando Buendia
    Mendelian, The Trampery Old Street, London, UK.
  • Peter Fish
    Mendelian, The Trampery Old Street, London, UK.
  • Mohid S Khan
    South Wales Neuroendocrine Cancer Service, University Hospital of Wales, Cardiff and Vale University Health Board, Heath Park, Cardiff, UK.

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