ArticleNeurosurgical review2024
Optimizing post-craniotomy recovery: insights from symptom network analysis in primary brain tumor patients.
Article in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Enhanced recovery after surgery (ERAS) for elective glioma craniotomy: a propensity score-matched retrospective cohort study.Neurosurgical review · 2026Article
- Does adding ginger extract to a preoperative carbohydrate drink improve outcomes in enhanced recovery after elective neuro-oncologic craniotomy? A randomized controlled trial.Frontiers in nutrition · 2025Article
- Letter to the Editor: "Optimizing post-craniotomy recovery: Insights from symptom network analysis in primary brain tumor patients".Neurosurgical review · 2024Article
- Letter to Editor: Optimizing post-craniotomy recovery: Insights from symptom network analysis in primary brain tumor patients.Neurosurgical review · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundCraniotomy to remove brain tumors is an intricate procedure with multiple postoperative symptoms. However, there has been limited research on the symptom networks of these patients. To this end, this study aims to explore these symptom networks, revealing their interplay to inform better symptom control, hasten the discovery of postoperative issues, and tailor Enhanced Recovery After Surgery (ERAS) protocols, all to enhance recovery and enhance patient care.
methodsFrom September 2023 to March 2024, 211 patients with primary brain tumors who underwent craniotomy at Shanghai Tongji Hospital were recruited. Their symptoms were assessed using the MDASI-BT (M.D. Anderson Symptom Inventory Brain Tumor Module) one day post-craniotomy. The symptom network of 22 symptoms was visualized using R, with central and bridge symptoms identified.
resultsSadness (r
conclusionThis study underscores the importance of understanding symptom networks in brain tumor patients post-craniotomy, highlighting key symptom interrelationships. These insights can guide more effective symptom management, early complication detection, and optimization of ERAS protocols, ultimately enhancing recovery and patient care.
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Registered trials
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