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基于人群的骨恶性巨细胞瘤患者生存预后因素分析:风险列线图分析

Prognostic Factors for Survival in Patients with Malignant Giant Cell Tumor of Bone: A Risk Nomogram Analysis Based on the Population.

机构信息

Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).

Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China (mainland).

出版信息

Med Sci Monit. 2021 Feb 17;27:e929154. doi: 10.12659/MSM.929154.

Abstract

BACKGROUND Malignant giant cell tumor of bone (MGCTB) is a rare histological type of malignant tumor that has a high tendency for local relapse and distant metastasis and ultimately leads to a poor prognosis. The purpose of this study was to describe the epidemiological features, identify the prognostic factors, and construct nomograms for patients with MGCTB. MATERIAL AND METHODS Patients with MGCTB that was histologically diagnosed between 1973 and 2014 were selected from the Surveillance, Epidemiology, and End Results (SEER) database as a training set. Survival analysis, Lasso regression, and random forests were used to identify the prognostic variables and establish the nomograms for patients with MGCTB, while an external cohort of 37 patients from our own institution and an external cohort of 163 patients from the SEER database in 2016 were used to validate the generalization performance of the nomograms. RESULTS In total, univariate and multivariable analysis indicated that age, International Classification of Diseases for Oncology, historical stage, primary site, surgery information, radiotherapy, and chemotherapy were independent prognostic variables for overall survival or cause-specific survival. Nomograms based on the multivariable models were built to predict survival, and we achieved a higher C-index in subsequent multidimensional validation. CONCLUSIONS Age, historical stage, and chemotherapy were independent prognostic variables for overall survival and cause-specific survival of MGCTB patients, and radiotherapy and primary site were independent prognostic variables for overall survival. Nomograms based on significant clinicopathological features and clinical experience can be effective in predicting the probability of survival for MGCTB patients.

摘要

背景

恶性骨巨细胞瘤(MGCTB)是一种罕见的组织学类型的恶性肿瘤,具有局部复发和远处转移的高倾向,最终导致预后不良。本研究的目的是描述其流行病学特征,确定预后因素,并为 MGCTB 患者构建列线图。

材料和方法

从监测、流行病学和最终结果(SEER)数据库中选择 1973 年至 2014 年间经组织学诊断为 MGCTB 的患者作为训练集。生存分析、Lasso 回归和随机森林用于识别预后变量,并为 MGCTB 患者建立列线图,同时使用来自我们机构的 37 例外部队列和来自 2016 年 SEER 数据库的 163 例外部队列验证列线图的泛化性能。

结果

单因素和多因素分析表明,年龄、国际肿瘤疾病分类、历史分期、原发部位、手术信息、放疗和化疗是总生存或特异性生存的独立预后变量。基于多变量模型构建的列线图用于预测生存,我们在随后的多维验证中获得了更高的 C 指数。

结论

年龄、历史分期和化疗是 MGCTB 患者总生存和特异性生存的独立预后因素,而放疗和原发部位是总生存的独立预后因素。基于显著临床病理特征和临床经验的列线图可有效预测 MGCTB 患者的生存概率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2486/7899048/45b6a07fcb78/medscimonit-27-e929154-g001.jpg

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