Emergency Department, Binhai County People's Hospital, Yancheng, China.
Neurosurgery, Binhai County People's Hospital, Yancheng, China.
J Cancer Res Clin Oncol. 2023 Nov;149(16):14797-14815. doi: 10.1007/s00432-023-05261-5. Epub 2023 Aug 17.
To comprehensively analyze the impact of surgical compliance on the survival of patients with glioma and to explore the factors that influence surgical compliance.
Clinical data of patients with glioma between 2004 and 2018 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier curves and Cox regression were used to analyze the effect of surgical compliance on overall survival (OS) and disease-specific survival (DSS). Multivariate Cox regression was used to select the prediction variables and construct the nomograms. The predictive power of these models was assessed using Harell's consistency index (C-index), decision curve analysis (DCA), receiver operating characteristic (ROC) curves, and calibration curves. Multivariate logistic regression was performed to analyze the related variables of surgical compliance, and 1:1 propensity score matching (PSM) was applied to evaluate the validity of the results of patients with favorable and poor surgical compliance.
Among the 47,573 eligible glioma patients recommended for surgery, 46,380 (97.5%) were in the surgical compliance group, while 1193 (2.5%) were in the noncompliance group. Surgical compliance was an independent prognostic factor for glioma patients, as indicated by multivariate Cox regression analysis that patients with surgical compliance had worse OS (hazard ratio [HR] 1.924; 95% confidence interval [CI] 1.800-2.056, p < 0.001) and DSS (HR 1.718; 95% CI 1.592-1.853, p < 0.001) in comparison to those without surgical compliance. A nomogram was developed and internally validated to be able to predict glioma prognosis. The nomogram can well predict patients' OS (C-index: 0.745) and DSS (C-index: 0.744). ROC curve, DCA curve, and calibration curve were applied to further assess the accuracy of the nomogram. Poor surgical compliance was found to be related to older age, female gender, tumor diameter, grade II or higher, poor grading, tumor location in the cerebellum and brainstem, and low household income.
Surgical compliance is an independent prognostic factor for predicting the OS and DSS of patients with glioma, and good surgical compliance was significantly related to good survival.
全面分析手术依从性对脑胶质瘤患者生存的影响,并探讨影响手术依从性的因素。
从监测、流行病学和最终结果(SEER)数据库中收集了 2004 年至 2018 年间脑胶质瘤患者的临床资料。Kaplan-Meier 曲线和 Cox 回归分析用于分析手术依从性对总生存(OS)和疾病特异性生存(DSS)的影响。多变量 Cox 回归用于选择预测变量并构建列线图。使用 Harell 一致性指数(C-index)、决策曲线分析(DCA)、接收者操作特征(ROC)曲线和校准曲线评估这些模型的预测能力。采用多变量逻辑回归分析手术依从性的相关变量,并应用 1:1 倾向评分匹配(PSM)评估手术依从性良好和差的患者结果的有效性。
在建议手术的 47573 名符合条件的脑胶质瘤患者中,46380 名(97.5%)为手术依从组,1193 名(2.5%)为非依从组。多变量 Cox 回归分析表明,手术依从性是脑胶质瘤患者的独立预后因素,与手术不依从的患者相比,手术依从性患者的 OS(风险比 [HR] 1.924;95%置信区间 [CI] 1.800-2.056,p<0.001)和 DSS(HR 1.718;95% CI 1.592-1.853,p<0.001)更差。建立并内部验证了一个列线图,以能够预测脑胶质瘤的预后。该列线图可以很好地预测患者的 OS(C 指数:0.745)和 DSS(C 指数:0.744)。ROC 曲线、DCA 曲线和校准曲线进一步评估了列线图的准确性。较差的手术依从性与年龄较大、女性、肿瘤直径、Ⅱ级或以上、分级差、肿瘤位于小脑和脑干、家庭收入低有关。
手术依从性是预测脑胶质瘤患者 OS 和 DSS 的独立预后因素,良好的手术依从性与良好的生存显著相关。