Cargando…
Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram
PURPOSE: The aim of this study was to develop and internally validate a medication nonadherence risk nomogram in a Chinese population of patients with inflammatory rheumatic diseases. PATIENTS AND METHODS: We developed a prediction model based on a training dataset of 244 IRD patients, and data were...
Autores principales: | Wang, Huijing, Zhang, Le, Liu, Zhe, Wang, Xiaodong, Geng, Shikai, Li, Jiaoyu, Li, Ting, Ye, Shuang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136915/ https://www.ncbi.nlm.nih.gov/pubmed/30237698 http://dx.doi.org/10.2147/PPA.S159293 |
Ejemplares similares
-
Development of a Predictive Nomogram for Estimating Medication Nonadherence in Hemodialysis Patients
por: Wang, Ying, et al.
Publicado: (2022) -
The development of a clinical nomogram to predict medication nonadherence in patients with knee osteoarthritis
por: Zhang, Qingzhu, et al.
Publicado: (2023) -
Predicting population: development and validation of a new predictive nomogram for evaluating medication nonadherence risk in a type 2 diabetes
por: QiMuge, NaRen, et al.
Publicado: (2022) -
Predicting medication nonadherence risk in the Chinese type 2 diabetes mellitus population – establishment of a new risk nomogram model: a retrospective study
por: Wang, Fa-Cai, et al.
Publicado: (2021) -
Predicting the individualized risk of nonadherence to zoledronic acid among osteoporosis patients receiving the first infusion of zoledronic acid: development and validation of new predictive nomograms
por: Li, Chong, et al.
Publicado: (2022)