摘要
骨肉瘤是最常见的恶性肿瘤,对以往患者的患者资料回顾和分析有助于提高患者预后。列线图模型通过复杂的计算公式得出某一事件发生的概率,可对患者进行更加细致的分层,并早期识别高风险的患者。本文就近些年列线图在骨肉瘤疾病中的研究进展进行展望,以期帮助临床医生评估临床事件的风险,制定个性化的治疗计划,并制定更合理的随访策略。
Osteosarcoma is the most common malignant tumor, and reviewing and analyzing patient data from previous patients can help improve patient prognosis. The column chart model uses complex calcu-lation formulas to determine the probability of an event occurring, allowing for more detailed strat-ification of patients and early identification of high-risk patients. This article provides an outlook on the research progress of column charts in osteosarcoma diseases in recent years, in order to help clinical doctors evaluate the risk of clinical events, develop personalized treatment plans, and de-velop more reasonable follow-up strategies.
出处
《临床医学进展》
2023年第11期16982-16987,共6页
Advances in Clinical Medicine
