Symptom Clusters in Advanced Cancer Patients: An Empirical Comparison of Statistical Methods and the Impact on Quality of Life.

@article{Dong2016SymptomCI,
  title={Symptom Clusters in Advanced Cancer Patients: An Empirical Comparison of Statistical Methods and the Impact on Quality of Life.},
  author={Skye Tian Dong and Daniel S. J. Costa and Phyllis Butow and Melanie R. Lovell and Meera Agar and Galina Velikova and Paulos Teckle and Allison Tong and Niall C. Tebbutt and Stephen J. Clarke and Kim van der Hoek and Madeleine T King and Peter M. Fayers},
  journal={Journal of pain and symptom management},
  year={2016},
  volume={51 1},
  pages={88-98}
}
CONTEXT Symptom clusters in advanced cancer can influence patient outcomes. There is large heterogeneity in the methods used to identify symptom clusters. OBJECTIVES To investigate the consistency of symptom cluster composition in advanced cancer patients using different statistical methodologies for all patients across five primary cancer sites, and to examine which clusters predict functional status, a global assessment of health and global quality of life. METHODS Principal component… CONTINUE READING
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