Related Experiment Video
Updated: Apr 2, 2026
On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis
Published on: May 31, 2020
Symptom network and latent profile analysis in patients after glioma surgery: a cross-sectional study
Xinyue Luo1,2, Huijuan Song3, Ping Wang1,2
1Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue North, Baiyun District, Guangzhou City, Guangdong Province, China.
Purpose:
This study aimed to identify the core symptoms in patients following glioma surgery by constructing a symptom network model and to classify patient subgroups exhibiting heterogeneity through latent profile analysis.
Methods:
A cross-sectional survey was conducted on 357 adult patients with glioma one week after surgery, utilizing the Chinese version of the Anderson Brain Tumor Symptom Scale. Core symptoms were identified via network analysis, and distinct subgroups were delineated using latent profile analysis.
Results:
"Weakness" emerged as a core symptom. Three subgroups with distinct characteristics were identified: (1) "Digestive & Emotional Disturbance Predominant - Low Incidence, High Symptom Burden" Cluster (2) "Sleep and Functional Impairment Predominant - High Incidence, High Symptom Burden Cluster" (3) "High Incidence, Low Symptom Burden Cluster".
Conclusions:
These findings provide a scientific foundation for targeted symptom management. From a population perspective, interventions should prioritize core symptoms following glioma surgery. From an individual perspective, heterogeneous glioma patients require tailored treatment and management based on subgroup classification.
Implications For Cancer Survivor:
The results of this study are helpful for medical staff to make judgments on the postoperative prognosis symptoms of glioma patients and carry out precise intervention, and at the same time can improve the symptom education of postoperative glioma patients.
