|
| Reference | Study design/topic
(number of patients) | Findings |
|
| Yavas et al., 2012 [16] | Prospective cohort
Predictors of progression
(118) | Emotional function, insomnia, appetite loss, future uncertainty, and communication deficit significantly relate to disease progression |
|
| Jakola et al., 2011 [17] | Prospective cohort
Predictors of survival
(61) | Early deterioration in QoL after surgery is linked to overall survival and reflects both the burden of symptoms and treatment hazards |
|
| Sizoo et al., 2014 [18] | Retrospective cohort
QoL at the end of life
caregivers perspective
(83) | Cognitive, physical, and psychological functioning deteriorate over time; acceptance of disease increases slightly towards death. Support from social environment and dying with dignity are important determinants of QoL |
|
| Sagberg et al., 2014 [19] | Prospective cohort
Response to therapy
(164) | QoL questionnaires are responsive to changes when glioma patients are deteriorating functionally after surgery but not responsive when patients are improving |
|
| Pompili et al., 2014 [20] | Retrospective cohort
Palliative care and
end of life issues
(122) | Positive cost-effectiveness of a well-trained neurooncology team managing neurological deterioration, clinical complications, rehabilitation, and psychosocial problems with a multidisciplinary approach |
|
| Peters et al., 2014 [21] | Prospective cohort
QoL and recurrences
(237) | Fatigue is a strong independent predictor of survival that provides incremental prognostic value to the traditional markers of prognosis in recurrent HGG |
|
| Halkett et al., 2015 [22] | Survey analysis
Predictors of distress
(116) | Poor function, lower education, and limited financial resources may help identify patients requiring additional screening, information, and psychological support |
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