ArticleJournal of neuro-oncology2021
Determinants and predictors for the long-term disease burden of intracranial meningioma patients.
Article in Journal of neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review.Frontiers in psychology · 2022Pooled it
- MRI-based correlates of brain changes and quality of life outcomes following radiotherapy for head and neck cancer.Journal of the Egyptian National Cancer Institute · 2026Article
- Applications of machine learning and natural language processing to neurocognitive outcomes in posttreatment cancer survivors: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- The effect of radiation dose to the brain on early self-reported cognitive function in brain and head-and-neck cancer patients.Clinical and translational radiation oncology · 2025Article
- Integrating ChatGPT as a Tool in Pharmacy Practice: A Cross-Sectional Exploration Among Pharmacists in Saudi Arabia.Integrated pharmacy research & practice · 2025Article
- Do presenting symptoms predict treatment decisions and survival in glioblastoma? Real-world data from 1458 patients in the Swedish brain tumor registry.Neuro-oncology practice · 2024Article
- Predicting the risk of neurocognitive decline after brain irradiation in adult patients with a primary brain tumor.Neuro-oncology · 2024Article
- A Historical Survey of Key Epidemiological Studies of Ionizing Radiation Exposure.Radiation research · 2024Review
- Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space.Neuroinformatics · 2024Article
- Cognitive functioning in untreated glioma patients: The limited predictive value of clinical variables.Neuro-oncology · 2024Article
- Long-term neurocognitive and psychological outcomes in meningioma survivors: Individual changes over time and radiation dosimetry.Neuro-oncology practice · 2024Article
- The clinical, genetic, and immune landscape of meningioma in patients with NF2-schwannomatosis.Neuro-oncology advances · 2023Article
- Remote assessment of cognition and quality of life following radiotherapy for glioma: deep-learning-based predictive models and MRI correlates.Journal of neuro-oncology · 2023Article
- Cognitive reserve and individual differences in brain tumour patients.Brain communications · 2023Article
- Quality of life outcomes in incidental and operated meningiomas (QUALMS): a cross-sectional cohort study.Journal of neuro-oncology · 2023Article
- Article
- Long-term neurocognitive, psychological, and return to work outcomes in meningioma patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Symptom burden and surgical outcome in non-skull base meningiomas.Frontiers in oncology · 2022Article
- Health-related quality of life in meningioma.Neuro-oncology advancesReview
- Long-term health-related quality of life in meningioma survivors: A mixed-methods systematic review.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMeningioma is a heterogeneous disease and patients may suffer from long-term tumor- and treatment-related sequelae. To help identify patients at risk for these late effects, we first assessed variables associated with impaired long-term health-related quality of life (HRQoL) and impaired neurocognitive function on group level (i.e. determinants). Next, prediction models were developed to predict the risk for long-term neurocognitive or HRQoL impairment on individual patient-level.
methodsSecondary data analysis of a cross-sectional multicenter study with intracranial WHO grade I/II meningioma patients, in which HRQoL (Short-Form 36) and neurocognitive functioning (standardized test battery) were assessed. Multivariable regression models were used to assess determinants for these outcomes corrected for confounders, and to build prediction models, evaluated with C-statistics.
resultsData from 190 patients were analyzed (median 9 years after intervention). Main determinants for poor HRQoL or impaired neurocognitive function were patients' sociodemographic characteristics, surgical complications, reoperation, radiotherapy, presence of edema, and a larger tumor diameter on last MRI. Prediction models with a moderate/good ability to discriminate between individual patients with and without impaired HRQoL (C-statistic 0.73, 95% CI 0.65 to 0.81) and neurocognitive function (C-statistic 0.78, 95%CI 0.70 to 0.85) were built. Not all predictors (e.g. tumor location) within these models were also determinants.
conclusionsThe identified determinants help clinicians to better understand long-term meningioma disease burden. Prediction models can help early identification of individual patients at risk for long-term neurocognitive or HRQoL impairment, facilitating tailored provision of information and allocation of scarce supportive care services to those most likely to benefit.
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