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dc.contributor.authorHaraldseide, Lisa Marie
dc.contributor.authorJakola, Asgeir S
dc.contributor.authorSolheim, Ole
dc.contributor.authorSagberg, Lisa Millgård
dc.date.accessioned2020-03-20T09:55:42Z
dc.date.available2020-03-20T09:55:42Z
dc.date.created2020-01-03T21:05:17Z
dc.date.issued2019
dc.identifier.citationBritish Journal of Neurosurgery. 2020, 34 (1)en_US
dc.identifier.issn0268-8697
dc.identifier.urihttps://hdl.handle.net/11250/2647748
dc.description.abstractPurpose: To explore if preoperative patient-reported health-related quality of life (HRQoL) provides additional prognostic value as a supplement to other preoperatively known clinical factors in patients with high-grade glioma (HGG).Methods: In a prospective explorative study, 114 patients with high-grade glioma were included. The participants completed the generic HRQoL questionnaire EQ-5D 3L, and the disease-specific questionnaires EORTC QLQ-C30 and EORTC QLQ-BN20 1-3 days before surgery. Operating neurosurgeons scored the patient's preoperative functional level by using Karnofsky Performance Status (KPS). Univariate and multivariate Cox regression analyses were performed to identify HRQoL domains that were associated with survival. Kaplan-Meier survival curves and Log-rank tests were used to visualize differences in survival between groups.Results: In addition to preoperative KPS and age, the EORTC QLQ-BN20 subdomains 'seizures' (HR 0.98, pen_US
dc.language.isoengen_US
dc.publisherInforma UK Limited, trading as Taylor & Francis Group.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDoes preoperative health-related quality of life predict survival in high-grade glioma patients? – a prospective studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-7en_US
dc.source.volume34en_US
dc.source.journalBritish Journal of Neurosurgeryen_US
dc.source.issue1en_US
dc.identifier.doi10.1080/02688697.2019.1698011
dc.identifier.cristin1766148
dc.description.localcode© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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