A Novel Nomogram for Predicting the Risk of Short-Term Recurrence After Surgery in Glioma Patients
| Autor: | Binghong Chen, Zhiyi Zhou, Renhua Huang, Keman Liao, Chihao Zhu, Zhijun Liao, Shuyu Zheng, Yongming Qiu, Yongrui Bai, Tianwei Wang, Xi Yang, Yanli Hou, Zhenwei Wang |
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| Rok vydání: | 2021 |
| Předmět: |
IDH
Oncology Cancer Research medicine.medical_specialty Univariate analysis Multivariate analysis Receiver operating characteristic short-term recurrence business.industry Univariate Neoplasms. Tumors. Oncology. Including cancer and carcinogens Nomogram Recurrent Glioma Logistic regression medicine.disease extent of resection recurrent glioma nomogram Internal medicine Glioma medicine business RC254-282 Original Research |
| Zdroj: | Frontiers in Oncology, Vol 11 (2021) Frontiers in Oncology |
| ISSN: | 2234-943X |
| DOI: | 10.3389/fonc.2021.740413 |
| Popis: | ObjectiveThe aim of this study was to establish a nomogram model for predicting the risk of short-term recurrence in glioma patients.MethodsThe clinical data of recurrent glioma patients were summarized and analyzed in this study. Univariate and multivariate logistic regression analyses were performed to analyze the correlation between clinical data and the risk of short-term recurrence after operation. A nomogram was established based on the multivariate logistic regression model results.ResultsA total of 175 patients with recurrent glioma were enrolled, with 53 patients in the short-term recurrence (STR) group (recurrent time ≤6 months) and 122 patients in the long-term recurrence (LTR) group (recurrent time ≥36 months). Univariate analysis revealed that age at diagnosis, Karnofsky performance scores (KPSs), tumor location, glioma grade, glioma type, extent of resection (EOR), adjuvant chemotherapy (ad-CT), concurrent chemotherapy (co-CT), and isocitrate dehydrogenase (IDH) status were significantly associated with the short-term glioma recurrence. Multivariate analyses revealed that age at diagnosis, KPS, glioma grade, EOR, and IDH were independent risk factors for short-term glioma recurrence. A risk nomogram for the short-term recurrence of glioma was established, with the concordance index (C-index) of 0.971. The findings of calibration and receiver operating characteristic (ROC) curves showed that our nomogram model had good performance and discrimination to estimate short-term recurrence probability.ConclusionThis nomogram model provides reliable information about the risk of short-term glioma recurrence for oncologists and neurosurgeons. This model can predict the short-term recurrence probability and give assistance to decide the interval of follow-up or formulate individualized treatment strategies based on the predicted results. A free online prediction risk tool for this nomogram is provided: https://rj2021.shinyapps.io/Nomogram_ recurrence-risk/. |
| Databáze: | OpenAIRE |
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