The CODAGLIO project, that started in September 2016, aims to combine clinical and health-related quality of life (HRQoL) data of available randomized controlled trials in glioma (i.e., primary brain tumour) patients. The project is a collaboration between the Quality of Life Group, the Brain Tumour Group and the Quality of Life Department. We have included data of more than 6000 patients. With this large dataset we will be able to answer clinically relevant questions, such as: ‘What is the added prognostic value of HRQoL on overall survival and progression-free survival?’ and ‘Are specific symptom clusters associated with overall HRQoL?’. Ultimately, we will study the trade-off between quality and quantity of life of treatment strategies and address the question ‘Will a combined analysis of survival and HRQoL data facilitate interpretation on the net clinical benefit of a treatment strategy?’
Since the start of the project we have: received approval from the principal investigators of the RCTs to include the data, build the database, contacted collaborating researchers to gain expertise on certain statistical methods, published two manuscripts, of which we also presented the results on international neuro-oncology conferences.
Currently, we are in the process of finalizing and submitting the manuscripts of the last three research questions.
We expect the project to be completed in September 2020.
Patients with a glioma, the most prevalent primary malignant brain tumour, demonstrate a high symptom burden and experience many disease-specific symptoms such as cognitive dysfunction and seizures. Although patients receive treatment with surgery, radiotherapy and chemotherapy, current treatment options are not curative. Therefore, the quality of survival is for these patients at least as important as the duration of survival. Because primary brain tumours are relatively rare, and the number of trials that included assessments of health-related quality of life (HRQoL) are limited, it is essential to combine these datasets. By combining these datasets we will be able to answer clinically relevant questions that could not be answered until now. For example, we will study what specific concurrent symptoms cause a deficit in functioning, as management of these symptoms may result in an improved HRQoL. Also, we will use certain models that combine information on the impact of a treatment on both survival and HRQoL. Such information may help physicians to decide which treatment is best for a specific patient.
- Coomans MB, Dirven L, Aaronson N, Baumert BG, van den Bent M, Bottomley A, Brandes A, Chinot O, Coens C, Gorlia T, Herrlinger U, Keime-Guibert F, Malmström A, Martinelli F, Stupp R, Talacchi A, Wick W, Reijneveld JC, and Taphoorn MJB. QLIF-27. The added value of health-related quality of life (HRQoL) as a prognostic indicator of overall survival and progression free survival in glioma patients: a meta-analysis based on individual patient data from randomized controlled trials. Neuro-Oncology, 19, issue suppl 6, Nov 2017, vi2017, DOI: 10.1093/neuonc/nox168.836
- Coomans M, Dirven L, K Aaronson N, Baumert BG, van den Bent M, Bottomley A, Brandes AA, Chinot O, Coens C, Gorlia T, Herrlinger U, Keime-Guibert F, Malmström A, Martinelli F, Stupp R, Talacchi A, Weller M, Wick W, Reijneveld JC, Taphoorn MJB; EORTC Quality of Life Group and the EORTC Brain Tumor Group. 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. Eur J Cancer. 2019 Jul;116:190-198. doi: 10.1016/j.ejca.2019.05.012. Epub 2019 Jun 13