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Symptom clusters in 1330 survivors of 7 cancer types from the PROFILES registry: A network analysis.

Belle H de RooijSimone OerlemansKatrijn van DeunFloortje MolsKelly M de LigtOlga HussonNicole Paulina Maria EzendamMeeke HoedjesLonneke V van de Poll-FranseDounya Schoormans
Published in: Cancer (2021)
In a heterogenous sample of cancer survivors, fatigue was consistently the most central symptom in all networks. Although longitudinal data are needed to build a case for the causal nature of these symptoms, cancer survivorship rehabilitation programs could focus on fatigue to reduce the overall symptom burden.
Keyphrases
  • network analysis
  • papillary thyroid
  • childhood cancer
  • young adults
  • squamous cell
  • sleep quality
  • patient reported
  • risk factors
  • squamous cell carcinoma
  • big data
  • physical activity
  • artificial intelligence
  • deep learning