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 currently have included data of more than 5000 patients, and expect that this will increase to 7000 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, prepared several manuscripts, and presented the preliminary results of the first research question on an international neuro-oncology conference.
Currently, we are in the process of finishing and signing the last agreements for transferring the data of the last RCTs, and working on the manuscripts. We expect to publish the manuscripts on the first two research questions in 2018. The project will 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 health-related quality of life. 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