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Construction of a dynamic nomogram model for postoperative recurrence in patients with glioma and nursing strategies
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Jinru CHEN, Huayu CHEN, An'na GUO, Zongya XIA, Huiyun WANG
Chinese Nursing Research | 2026, 40(13) : 2287 - 2292
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Chinese Nursing Research | 2026, 40(13): 2287-2292
• Original Articles •
Construction of a dynamic nomogram model for postoperative recurrence in patients with glioma and nursing strategies
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Jinru CHEN, Huayu CHEN, An'na GUO, Zongya XIA, Huiyun WANG
Affiliations
  • 1The First Affiliated Hospital of Nanjing Medical University, Jiangsu 210003 China
Published: 2026-07-10 doi: 10.12102/j.issn.1009-6493.2026.13.013
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Objective

To construct a dynamic nomogram (DynNom) model for predicting postoperative recurrence in patients with glioma based on LASSO-logistic regression analysis.

Methods

Patients with glioma who underwent surgical treatment at The First Affiliated Hospital of Nanjing Medical University from August 2022 to December 2024 were selected as the study subjects.Their clinical data were collected.Univariate and multivariate LASSO-Logistic regression analyses were used to identify influencing factors for postoperative recurrence of glioma.A DynNom scoring model was established.

Results

Among the 211 patients with glioma,57 experienced recurrence within 12 months after surgery,resulting in a recurrence rate of 27.01%.Regression analysis showed that Karnofsky Performance Status(KPS) score,disease stage,maximum tumor diameter,surgical resection,and postoperative concurrent chemoradiotherapy were influencing factors for postoperative recurrence in patients with glioma(P<0.05).The DynNom scoring model,established based on the regression analysis results,had an area under the receiver operating characteristic(ROC) curve(AUC) of 0.807.The calibration curve was close to the ideal curve.

Conclusions

Multiple factors influence postoperative recurrence in patients with glioma.The DynNom scoring model constructed based on these risk factors demonstrates good predictive performance for the risk of postoperative recurrence in patients with glioma.

glioma  /  recurrence  /  concurrent chemoradiotherapy  /  influencing factors  /  prediction model
陈金如, 陈华玉, 郭安娜, 夏宗雅, 王慧云. 脑胶质瘤病人术后复发动态评分模型的构建及护理对策. 护理研究, 2026 , 40 (13) : 2287 -2292 . DOI: 10.12102/j.issn.1009-6493.2026.13.013
Jinru CHEN, Huayu CHEN, An'na GUO, Zongya XIA, Huiyun WANG. Construction of a dynamic nomogram model for postoperative recurrence in patients with glioma and nursing strategies[J]. Chinese Nursing Research, 2026 , 40 (13) : 2287 -2292 . DOI: 10.12102/j.issn.1009-6493.2026.13.013
Year 2026 volume 40 Issue 13
27
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.13.013
  • Receive Date:2025-09-12
  • Online Date:2026-10-30
  • Published:2026-07-10
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History
  • Received:2025-09-12
  • Revised:2026-03-31
Affiliations
    1The First Affiliated Hospital of Nanjing Medical University, Jiangsu 210003 China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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