Patient clusters based on demographics, clinical characteristics and cancer-related symptoms: A cross-sectional pilot study
This study identified distinct patient clusters and provided preliminary evidence on the sample size required for clustering analyses in cancer research. Understanding patient clusters enables nurses to provide tailored interventions, potentially improving symptom management and overall patient care.
Authors
- Stefano Maiandi (ORCID: https://orcid.org/0000-0002-4772-0676)
- Greta Ghizzardi (ORCID: https://orcid.org/0000-0002-4192-7107)
- Arianna Magon (ORCID: https://orcid.org/0000-0003-0440-6940)
- Rosario Caruso (ORCID: https://orcid.org/0000-0002-7736-6209)
- Silvia Belloni (ORCID: https://orcid.org/0000-0002-5187-2410)
- Lorena Stefania Bassani
- Savizza Calvanese
- Donatella Vasaturo
- Carmelo Collemi
- Alessandra Laurano
- Debora Sidoli
- Cristina Cascone
Institutions
- University of Pavia (IT)
- IRCCS Policlinico San Donato (IT)
- Ospedale Maggiore di Lodi (IT)
- Aziende Socio Sanitarie Territoriale Lodi
Publication Details
- Journal
- European Journal of Oncology Nursing
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1016/j.ejon.2025.102796
- Citations
- 2
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 2.09