Literature DB >> 31203194

The added value of health-related quality of life as a prognostic indicator of overall survival and progression-free survival in glioma patients: a meta-analysis based on individual patient data from randomised controlled trials.

Marijke Coomans1, Linda Dirven2, Neil K Aaronson3, Brigitta G Baumert4, Martin van den Bent5, Andrew Bottomley6, Alba A Brandes7, Olivier Chinot8, Corneel Coens6, Thierry Gorlia9, Ulrich Herrlinger10, Florence Keime-Guibert11, Annika Malmström12, Francesca Martinelli6, Roger Stupp13, Andrea Talacchi14, Michael Weller15, Wolfgang Wick16, Jaap C Reijneveld17, Martin J B Taphoorn2.   

Abstract

OBJECTIVE: Prognostic value of health-related quality of life (HRQoL) data may be important to inform patients in clinical practice and to guide clinical decision-making. Our study investigated the added prognostic value of HRQoL for overall survival (OS) and progression-free survival (PFS) in a large heterogeneous sample of glioma patients, besides known prognostic factors.
METHODS: We included individual baseline data from previously published randomised controlled trials (RCTs) in glioma patients in which HRQoL was assessed through the European Organisation for Research and Treatment of Cancer QLQ-C30 and QLQ-BN20 questionnaires. Multivariable Cox regression models (stratified for newly diagnosed versus recurrent disease) were constructed, first with clinical variables (age, sex, tumour type, performance status, allocated treatment and extent of resection) only and subsequently with HRQoL variables added, separately for OS and PFS. The added prognostic value of HRQoL was calculated using C-indices.
RESULTS: Baseline HRQoL and clinical data from 15 RCTs were included, comprising 5217 patients. In the model including both clinical and HRQoL variables, better cognitive and role functioning and less motor dysfunction were independently associated with longer OS, whereas better role and cognitive functioning, less nausea and vomiting and more appetite loss were independently associated with prolonged PFS. However, C-indices indicated only a small prognostic improvement of the models for OS and PFS when adding HRQoL to the clinical prognostic variables (+1.1% for OS and +.7% for PFS).
CONCLUSION: Our findings demonstrate that several baseline HRQoL variables are independently prognostic for OS and PFS, yet the added value of HRQoL to the known clinical prognostic variables was small.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain tumour; Glioma; Health-related quality of life (HRQoL); Prognostic factor; Survival

Mesh:

Year:  2019        PMID: 31203194     DOI: 10.1016/j.ejca.2019.05.012

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  9 in total

1.  Quality of patient-reported outcome reporting according to the CONSORT statement in randomized controlled trials with glioblastoma patients.

Authors:  Louis Garnier; Emilie Charton; Antoine Falcoz; Sophie Paget-Bailly; Dewi Vernerey; Marine Jary; François Ducray; Elsa Curtit
Journal:  Neurooncol Pract       Date:  2020-11-11

Review 2.  Sex-specific and gender-specific aspects in patient-reported outcomes.

Authors:  Caroline Hertler; Annina Seiler; Dorothee Gramatzki; Markus Schettle; David Blum
Journal:  ESMO Open       Date:  2020-11

Review 3.  Research Objectives, Statistical Analyses and Interpretation of Health-Related Quality of Life Data in Glioma Research: A Systematic Review.

Authors:  Marijke B Coomans; Marthe C M Peeters; Johan A F Koekkoek; Jan W Schoones; Jaap Reijneveld; Martin J B Taphoorn; Linda Dirven
Journal:  Cancers (Basel)       Date:  2020-11-24       Impact factor: 6.639

4.  Pretreatment patient-reported cognitive function in patients with diffuse glioma.

Authors:  Stine Schei; Ole Solheim; Øyvind Salvesen; Marianne Jensen Hjermstad; David Bouget; Lisa Millgård Sagberg
Journal:  Acta Neurochir (Wien)       Date:  2022-02-10       Impact factor: 2.816

5.  Characteristics of health-related quality of life and related factors in patients with brain tumors treated with rehabilitation therapy.

Authors:  Takahiro Watanabe; Shinichi Noto; Manabu Natsumeda; Shinji Kimura; Satoshi Tabata; Fumie Ikarashi; Mayuko Takano; Yoshihiro Tsukamoto; Makoto Oishi
Journal:  J Patient Rep Outcomes       Date:  2022-09-06

6.  Radiotherapy for glioblastoma patients with poor performance status.

Authors:  Christina Schröder; Dorothee Gramatzki; Erwin Vu; Matthias Guckenberger; Nicolaus Andratschke; Michael Weller; Caroline Hertler
Journal:  J Cancer Res Clin Oncol       Date:  2021-08-26       Impact factor: 4.322

7.  Longitudinal analysis of quality of life following treatment with Asunercept plus reirradiation versus reirradiation in progressive glioblastoma patients.

Authors:  Wolfgang Wick; Andriy Krendyukov; Klaus Junge; Thomas Höger; Harald Fricke
Journal:  J Neurooncol       Date:  2019-11-02       Impact factor: 4.130

8.  Unique Interplay Between Molecular miR-181b/d Biomarkers and Health Related Quality of Life Score in the Predictive Glioma Models.

Authors:  Rytis Stakaitis; Aiste Pranckeviciene; Giedrius Steponaitis; Arimantas Tamasauskas; Adomas Bunevicius; Paulina Vaitkiene
Journal:  Int J Mol Sci       Date:  2020-10-09       Impact factor: 5.923

9.  Health-related quality of life and distress in elderly vs. younger patients with high-grade glioma-results of a multicenter study.

Authors:  Mirjam Renovanz; Anne-Katrin Hickmann; Minou Nadji-Ohl; Naureen Keric; Elke Weimann; Christian Rainer Wirtz; Susanne Singer; Florian Ringel; Jan Coburger
Journal:  Support Care Cancer       Date:  2020-02-14       Impact factor: 3.603

  9 in total

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