Evidence map›Paper›PMID 41998365›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Heterogeneous trajectory of cancer-related fatigue and its associated factors in patients with glioma during the perioperative period: a prospective longitudinal study.

Yuan Liu, Xiaoqin Zeng, Ning Guo, Yanchun Gao, Huiwen Wu, Xiaojun Chen, Fengqiu Gong

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Identifying the trajectory of SPPADE symptoms in patients with cancer using electronic health record data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yuan Liu *Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaoqin Zeng *Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ning Guo *Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yanchun GaoDepartment of Neurosurgery, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China.
Huiwen WuDepartment of Neurosurgery, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaojun ChenDepartment of Operating Room, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. chenxj88@mail.sysu.edu.cn.
Fengqiu GongDepartment of Operating Room, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. gongfq@mail.sysu.edu.cn.

Funding

the Guangdong Basic and Applied Basic Research Foundation Natural Science Foundation Project Grant No. 2026A1515011795the Guangdong Lingnan Nightingale Nursing Research Institute, and the Guangdong Nursing Association Nursing Innovation and Development Research Project Grant Nos. GDHLYJYZ202404, GDHLYJYQ202411
6 · The paper itself

Abstract

purposeFatigue is the most severe symptom of glioma and constitutes an adverse prognostic factor for patient survival. This study explored the potential categories and influencing factors of the change trajectory of cancer-related fatigue (CRF) in patients with gliomas during the perioperative period.

methodsOverall, 193 patients who underwent glioma resection in two tertiary general hospitals in Guangzhou from 1 December 2023 to 1 January 2025 were included. Data on social demographics, disease characteristics, psychological resilience, neuroticism, and perceived social support levels were collected. CRF was assessed 1 day preoperatively and 3, 7, 14, and 30 days postoperatively. A latent growth mixture model was used to identify potential categories of the change trajectory of CRF, and a disordered multinomial logistic regression analysis was used to explore influencing factors.

resultsOverall, 161 patients with glioma were included. Potential CRF categories were 'low fatigue decreased' (71.4%), 'moderate fatigue increased' (17.4%), and 'persistently high fatigue' (11.2%). Logistic regression analysis revealed that patients with pathological grades III-IV (odds ratio [OR] = 2.71, P = 0.035), lower perceived social support (OR = 0.955, P = 0.033), and longer hospital stay (OR = 1.071, P = 0.006) were more likely to be classified into the 'moderate fatigue increased' group. In contrast, patients with pathological grades III-IV (OR = 5.78, P = 0.007) and lower resilience (OR = 0.935, P = 0.001) were more likely to be assigned to the 'persistently high fatigue' group.

conclusion'Low fatigue decreased', 'moderate fatigue increased', and 'persistently high fatigue' are potential CRF categories in patients with glioma during the perioperative period. Pathological stage, perceived social support, length of hospital stay, and resilience influence these patterns. Early screening for high-risk patients and individualised, full-course interventions are essential to reduce CRF burden during the perioperative period.

Indexed as

Brain NeoplasmsFatigueGliomaAdultAgedChinaFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedPerioperative PeriodProspective StudiesRisk FactorsSocial SupportCancer-related fatigueGliomaLatent classPerioperative period

Identifiers

PMID41998365

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