ArticleNeuro-oncology2018
Symptom-based interventions to promote quality survivorship.
Article in Neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Symptom management in adult brain tumours: A literature review.Nursing open · 2023Pooled it
- eHealth cognitive rehabilitation for brain tumor patients: results of a randomized controlled trial.Journal of neuro-oncology · 2021Trial
- Environmental Enrichment and Health Outcomes Among Low-Grade Glioma Brain Tumor Survivors.The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses · 2024Article
- Early poststroke clinically significant fatigue predicts functional independence: a prospective longitudinal study.Frontiers in neurology · 2024Article
- Causal association between type 2 diabetes mellitus and acute suppurative otitis media: insights from a univariate and multivariate Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Managing Cancer and Living Meaningfully (CALM) alleviates chemotherapy related cognitive impairment (CRCI) in breast cancer survivors: A pilot study based on resting-state fMRI.Cancer medicine · 2023Article
- Exploring the prevalence and burden of sleep disturbance in primary brain tumor patients.Neuro-oncology practice · 2022Article
- Article
- The Impact of Resistance Exercise on Muscle Mass in Glioblastoma in Survivors (RESIST): Protocol for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Cognitive complaints in brain tumor patients and their relatives' perspectives.Neuro-oncology practice · 2021Article
- Interdisciplinary Approaches to Survivorship with a Focus on the Low-grade and Benign Brain Tumor Populations.Current oncology reports · 2021Review
- Research on cognitive and sociocognitive functions in patients with brain tumours: a bibliometric analysis and visualization of the scientific landscape.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Article
- Prevalence and correlates of fatigue in patients with meningioma before and after surgery.Neuro-oncology practice · 2020Article
- The interplay among psychological distress, the immune system, and brain tumor patient outcomes.Current opinion in behavioral sciences · 2019Article
- Moving from clinician-defined to patient-reported outcome measures for survivors of high-grade glioma.Patient related outcome measures · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Survival alone is no longer an adequate outcome for persons with brain tumors; the quality of the survivorship experience should be viewed with equal importance. Symptom management is a significant component of quality survivorship care. Regardless of their histology, brain tumors and therapies used to treat them produce symptoms that affect an individual's ability to function in everyday life. Common symptoms include fatigue, cognitive impairment, distress, and sleep disturbance. Symptom-based interventions for persons with brain tumors focus on prevention, self-management, and prescriptive interventions targeted to these problems. Unfortunately, little evidence exists to support many interventions, making it challenging for clinicians to provide concrete recommendations. Research is needed to provide evidence in support of symptom-based interventions while novel approaches to these challenging problems are developed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.