Τίτλος:
Network Analysis of the Multidimensional Symptom Experience of Oncology
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Oncology patients undergoing cancer treatment experience an average of fifteen unrelieved symptoms that are highly variable in both their severity and distress. Recent advances in Network Analysis (NA) provide a novel approach to gain insights into the complex nature of co-occurring symptoms and symptom clusters and identify core symptoms. We present findings from the first study that used NA to examine the relationships among 38 common symptoms in a large sample of oncology patients undergoing chemotherapy. Using two different models of Pairwise Markov Random Fields (PMRF), we examined the nature and structure of interactions for three different dimensions of patients’ symptom experience (i.e., occurrence, severity, distress). Findings from this study provide the first direct evidence that the connections between and among symptoms differ depending on the symptom dimension used to create the network. Based on an evaluation of the centrality indices, nausea appears to be a structurally important node in all three networks. Our findings can be used to guide the development of symptom management interventions based on the identification of core symptoms and symptom clusters within a network. © 2019, The Author(s).
Συγγραφείς:
Papachristou, N.
Barnaghi, P.
Cooper, B.
Kober, K.M.
Maguire, R.
Paul, S.M.
Hammer, M.
Wright, F.
Armes, J.
Furlong, E.P.
McCann, L.
Conley, Y.P.
Patiraki, E.
Katsaragakis, S.
Levine, J.D.
Miaskowski, C.
Περιοδικό:
Scientific Reports
Εκδότης:
Nature Publishing Group
Λέξεις-κλειδιά:
aged; biological model; clinical trial; female; human; longitudinal study; male; metabolism; middle aged; multicenter study; neoplasm; quality of life; syndrome, Aged; Female; Humans; Longitudinal Studies; Male; Middle Aged; Models, Biological; Neoplasms; Quality of Life; Syndrome
DOI:
10.1038/s41598-018-36973-1
