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A Factor Analysis A...
A Factor Analysis Approach for Clustering Patient Reported Outcomes
- Artikel/kapitelEngelska2016
Förlag, utgivningsår, omfång ...
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2018-01-08
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Georg Thieme Verlag KG,2016
Nummerbeteckningar
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LIBRIS-ID:oai:gup.ub.gu.se/247073
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https://gup.ub.gu.se/publication/247073URI
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https://doi.org/10.3414/me16-01-0035DOI
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Ämneskategori:art swepub-publicationtype
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Background: In the field of radiation oncology, the use of extensive patient reported outcomes is increasingly common to measure adverse side effects after radiotherapy in cancer patients. Factor analysis has the potential to identify an optimal number of latent factors (i.e., symptom groups). However, the ultimate goal of treatment response modeling is to understand the relationship between treatment variables such as radiation dose and symptom groups resulting from FA. Hence, it is crucial to identify clinically more relevant symptom groups and improved response variables from those symptom groups for a quantitative analysis. Objectives: The goal of this study is to design a computational method for finding clinically relevant symptom groups from PROs and to test associations between symptom groups and radiation dose. Methods: We propose a novel approach where exploratory factor analysis is followed by confirmatory factor analysis to determine the relevant number of symptom groups. We also propose to use a combination of symptoms in a symptom group identified as a new response variable in linear regression analysis to investigate the relationship between the symptom group and dose-volume variables. Results: We analyzed patient-reported gastrointestinal symptom profiles from 3 datasets in prostate cancer patients treated with radiotherapy. The final structural model of each dataset was validated using the other two datasets and compared to four other existing FA methods. Our systematic EFA-CFA approach provided clinically more relevant solutions than other methods, resulting in new clinically relevant outcome variables that enabled a quantitative analysis. As a result, statistically significant correlations were found between some dose volume variables to relevant anatomic structures and symptom groups identified by FA. Conclusions: Our proposed method can aid in the process of understanding PROs and provide a basis for improving our understanding of radiation-induced side effects.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Thor, M.
(författare)
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Olsson, Caroline,1970Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology(Swepub:gu)xolcar
(författare)
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Skokic, Viktor,1982Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology(Swepub:gu)xskovi
(författare)
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Jörnsten, Rebecka,1971Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics
(författare)
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Alsadius, David,1975Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology(Swepub:gu)xalsda
(författare)
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Pettersson, N.Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology
(författare)
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Steineck, Gunnar,1952Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för onkologi,Institute of Clinical Sciences, Department of Oncology(Swepub:gu)xstegu
(författare)
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Deasy, J. O.
(författare)
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Ttell Rb, Multivariate Behavioral Research V. P.
(författare)
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Göteborgs universitetInstitutionen för kliniska vetenskaper, Avdelningen för onkologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Methods of Information in Medicine: Georg Thieme Verlag KG55:5, s. 431-4390026-12702511-705X
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Oh, J. H.
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Thor, M.
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Olsson, Caroline ...
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Skokic, Viktor, ...
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Jörnsten, Rebeck ...
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Alsadius, David, ...
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Pettersson, N.
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Steineck, Gunnar ...
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Deasy, J. O.
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Ttell Rb, Multiv ...
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