列线图
医学
内科学
肿瘤科
癌症
TNM分期系统
队列
肿瘤分期
作者
Lin Chen,Jiawen Qian,Lisong Lin,Jing Lin,Qing Chen,Zhaocheng Zhuang,Yihong Hong,Jing Wang,Yu Qiu,Lizhen Pan,Bin Shi,Fengqiong Liu,Lin Cai,Zhijian Hu,Baochang He,Fa Chen
出处
期刊:Oral Diseases
[Wiley]
日期:2021-02-23
卷期号:27 (5): 1127-1136
被引量:12
摘要
Abstract Objective To assess the association of preoperative lymphocyte‐to‐monocyte ratio (LMR) and overall survival (OS) in patients with oral cancer and develop a dynamic nomogram for individualized survival prediction. Method The prognostic value of LMR was evaluated in a large‐scale cohort with 651 postoperative patients with oral cancer between January 2010 and December 2017. Propensity score‐matched (PSM) analysis and inverse probability of treatment weighting (IPTW) analysis were performed to further verify the prognostic value of LMR. A dynamic nomogram was then developed based on the LMR and clinicopathological features, and its predictive performance and clinical utility were evaluated. Results A high LMR was significantly associated with better OS of patients with oral cancer ( HR = 0.65; 95% CI = 0.44–0.98). The similar association was also observed in the PSM and IPTW analyses. Moreover, compared with TNM staging system, the dynamic nomogram based on the LMR exhibited more excellent predictive performance (0.72 versus 0.64, p < .001), with calibration curves (1,000 bootstrap resamples) suggesting good match between the actual and predicted probabilities. Decision curve analyses (DCAs) showed a more significant positive net benefit in the practical ranges of threshold probabilities using the dynamic nomogram. Conclusion Preoperative LMR may serve as an easily accessible and non‐invasive prognostic biomarker for predicting the prognosis of patients with oral cancer. A dynamic nomogram based on the LMR may show more convenience in survival prediction for patients with oral cancer. Further future studies are warranted to confirm our findings.
科研通智能强力驱动
Strongly Powered by AbleSci AI