dc.contributor.author
Kessler, Christian S.
dc.contributor.author
Jeitler, Michael
dc.contributor.author
Dhiman, Kartar S.
dc.contributor.author
Kumar, Abhimanyu
dc.contributor.author
Ostermann, Thomas
dc.contributor.author
Gupta, Shivenarain
dc.contributor.author
Morandi, Antonio
dc.contributor.author
Mittwede, Martin
dc.contributor.author
Stapelfeldt, Elmar
dc.contributor.author
Spoo, Michaela
dc.contributor.author
Icke, Katja
dc.contributor.author
Michalsen, Andreas
dc.contributor.author
Witt, Claudia M.
dc.contributor.author
Wischnewsky, Manfred B.
dc.date.accessioned
2023-03-23T14:18:45Z
dc.date.available
2023-03-23T14:18:45Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/38538
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-38254
dc.description.abstract
Background: Ayurveda is widely practiced in South Asia in the treatment of osteoarthritis (OA). The aim of these secondary data analyses were to identify the most relevant variables for treatment response and group differences between Ayurvedic therapy compared to conventional therapy in knee OA patients.
Methods: A total of 151 patients (Ayurveda n = 77, conventional care n = 74) were analyzed according to the intention-to-treat principle in a randomized controlled trial. Different statistical approaches including generalized linear models, a radial basis function (RBF) network, exhausted CHAID, classification and regression trees (CART), and C5.0 with adaptive boosting were applied.
Results: The RBF network implicated that the therapy arm and the baseline values of the WOMAC Index subscales might be the most important variables for the significant between-group differences of the WOMAC Index from baseline to 12 weeks in favor of Ayurveda. The intake of nutritional supplements in the Ayurveda group did not seem to be a significant factor in changes in the WOMAC Index. Ayurveda patients with functional limitations > 60 points and pain > 25 points at baseline showed the greatest improvements in the WOMAC Index from baseline to 12 weeks (mean value 107.8 +/- 27.4). A C5.0 model with nine predictors had a predictive accuracy of 89.4% for a change in the WOMAC Index after 12 weeks > 10. With adaptive boosting, the accuracy rose to 98%.
Conclusions: These secondary analyses suggested that therapeutic effects cannot be explained by the therapies themselves alone, although they were the most important factors in the applied models.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
traditional Indian medicine
en
dc.subject
knee osteoarthritis
en
dc.subject
complementary medicine
en
dc.subject
integrative medicine
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Ayurveda in Knee Osteoarthritis—Secondary Analyses of a Randomized Controlled Trial
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
3047
dcterms.bibliographicCitation.doi
10.3390/jcm11113047
dcterms.bibliographicCitation.journaltitle
Journal of Clinical Medicine
dcterms.bibliographicCitation.number
11
dcterms.bibliographicCitation.originalpublishername
MDPI
dcterms.bibliographicCitation.volume
11
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
35683435
dcterms.isPartOf.eissn
2077-0383