Login / Signup

External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database.

Keisuke IkegamiShungo ImaiOsamu YasumuroMasami TsuchiyaNaomi HenmiMariko SuzukiKatsuhisa HayashiChisato MiuraHaruna AbeHayato KizakiRyohkan FunakoshiYasunori SatoSatoko Hori
Published in: JCO clinical cancer informatics (2024)
We developed an updated risk prediction model for denosumab-induced hypocalcemia with small interfacility differences. Our results indicate the importance of using data from plural facilities with different characteristics in the external validation of generalized prediction models and may be generally relevant to the clinical application of risk prediction models. Our findings are expected to contribute to improved management of bone metastasis treatment.
Keyphrases
  • bone mineral density
  • high glucose
  • diabetic rats
  • emergency department
  • giant cell
  • oxidative stress
  • body composition
  • machine learning
  • big data
  • data analysis
  • adverse drug