ArticleNeuroImage. Clinical2022
Presurgical predictors of early cognitive outcome after brain tumor resection in glioma patients.
Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Perioperative neuropsychological assessment reveals dynamic changes in neurocognitive function following brain tumor surgery.Brain & spine · 2026Article
- Baseline patient-reported symptom networks and early risk stratification for six-month symptom burden in newly diagnosed glioma: a prospective cohort study.Frontiers in public health · 2026Article
- Association of multidisciplinary collaborative nursing with cognitive function and quality of life after craniotomy for glioma resection: a retrospective comparative study.Frontiers in medicine · 2026Article
- Redefining cognitive testing: the impact of cognitive reserve and sex from early to late adulthood.Frontiers in psychology · 2026Article
- Advances in Preoperative and Intraoperative Technologies for Safe Resection of Gliomas in Cognitive Regions.Cancers · 2025Review
- Cognitive impact of repeated surgical resections for the management of high-grade glioma.Journal of neuro-oncology · 2025Article
- Evaluating current quality indicators used in the care of adult patients with glioblastoma: A scoping review of the literature.Neuro-oncology practice · 2025Review
- Predicting attention deficits and functional recovery after glioma resection through functional executive networks: insights from dynamic properties.Journal of neuro-oncology · 2025Article
- Review
- Presurgical structural connectivity predicts postsurgical cognitive impairment in glioma patients.Brain communications · 2025Article
- Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space.Neuroinformatics · 2024Article
- Perioperative Neurocognitive Function in Glioma Surgery.Current oncology reports · 2024Review
- Predicting cognitive function 3 months after surgery in patients with a glioma.Neuro-oncology advancesArticle
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are commonly characterized by neurocognitive deficits that strongly impact patients' and caregivers' quality of life. Surgical resection is the mainstay of therapy, and it can also cause cognitive impairment. An important clinical problem is whether patients who undergo surgery will show post-surgical cognitive impairment above and beyond that present before surgery. The relevant rognostic factors are largely unknown. This study aims to quantify the cognitive impairment in glioma patients 1-week after surgery and to compare different pre-surgical information (i.e., cognitive performance, tumor volume, grading, and lesion topography) towards predicting early post-surgical cognitive outcome. We retrospectively recruited a sample of N = 47 patients affected by high-grade and low-grade glioma undergoing brain surgery for tumor resection. Cognitive performance was assessed before and immediately after (∼1 week) surgery with an extensive neurocognitive battery. Multivariate linear regression models highlighted the combination of predictors that best explained post-surgical cognitive impairment. The impact of surgery on cognitive functioning was relatively small (i.e., 85% of test scores across the whole sample indicated no decline), and pre-operative cognitive performance was the main predictor of early post-surgical cognitive outcome above and beyond information from tumor topography and volume. In fact, structural lesion information did not significantly improve the accuracy of prediction made from cognitive data before surgery. Our findings suggest that post-surgery neurocognitive deficits are only partially explained by preoperative brain damage. The present results suggest the possibility to make reliable, individualized, and clinically relevant predictions from relatively easy-to-obtain information.
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