Novel symptom clusters predict disease impact and healthcare utilisation in inflammatory bowel disease: Prospective longitudinal follow-up study

Riggott, C. orcid.org/0000-0002-6927-9498, Fairbrass, K.M. orcid.org/0000-0002-5569-4762, Black, C.J. orcid.org/0000-0001-5449-3603 et al. (2 more authors) (2023) Novel symptom clusters predict disease impact and healthcare utilisation in inflammatory bowel disease: Prospective longitudinal follow-up study. Alimentary Pharmacology & Therapeutics. ISSN 0269-2813

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Item Type: Article
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© 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License (CC-BY-NC 4.0).

Keywords: healthcare utilisation, inflammatory bowel disease, model-based clustering, prognosis
Dates:
  • Published (online): 4 October 2023
  • Accepted: 19 September 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Gastroenterology and Surgery
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Oct 2023 11:00
Last Modified: 20 Oct 2023 11:00
Status: Published online
Publisher: Wiley
Identification Number: 10.1111/apt.17735
Open Archives Initiative ID (OAI ID):

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