Using cluster analysis of anxiety-depression to identify subgroups of prostate cancer patients for targeted treatment planning

Title
Using cluster analysis of anxiety-depression to identify subgroups of prostate cancer patients for targeted treatment planning
Publication Date
2017
Author(s)
Sharpley, Christopher
( author )
OrcID: https://orcid.org/0000-0001-7922-4848
Email: csharpl3@une.edu.au
UNE Id une-id:csharpl3
Bitsika, Vicki
( author )
OrcID: https://orcid.org/0000-0003-2518-6684
Email: vbitsik2@une.edu.au
UNE Id une-id:vbitsik2
Warren, Amelia K
Christie, David R H
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
John Wiley & Sons Ltd
Place of publication
United Kingdom
DOI
10.1002/pon.4391
UNE publication id
une:23066
Abstract
Background: To explore any possible subgroupings of prostate cancer (PCa) patients based upon their combined anxiety‐depression symptoms for the purposes of informing targeted treatments. Methods: A sample of 119 PCa patients completed the GAD7 (anxiety) and PHQ9 (depression), plus a background questionnaire, by mail survey. Data on the GAD7 and PHQ9 were used in a cluster analysis procedure to identify and define any cohesive subgroupings of patients within the sample. Results: Three distinct clusters of patients were identified and were found to be significantly different in the severity of their GAD7 and PHQ9 responses, and also by the profile of symptoms that they exhibited. Conclusions: The presence of these 3 clusters of PCa patients indicates that there is a need to extend assessment of anxiety and depression in these men beyond simple total score results. By applying the clustering profiles to samples of PCa patients, more focussed treatment might be provided to them, hopefully improving outcome efficacy.
Link
Citation
Psycho-Oncology, 26(11), p. 1846-1851
ISSN
1099-1611
1057-9249
Start page
1846
End page
1851

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