相关实验视频

Updated: May 27, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

204

构建一个多变量预测模型,用于非小细胞肺癌中术后90天抑郁风险,基于手术前外周血液NLR,LMR和PLR

Xuefeng Wu1, Li Dai1, Huajing Guo1

  • 1Department of Anesthesiology, The First People's Hospital of Changde City, 415003 Changde, Hunan, China.

Discovery medicine
|February 20, 2025
PubMed
概括

手术前的血液标志物,包括中性细胞/淋巴细胞比率 (NLR),淋巴细胞/单细胞比率 (LMR) 和血小板/淋巴细胞比率 (PLR),可以预测经过非小细胞肺癌 (NSCLC) 手术后90天内发展抑郁症的风险.

关键词:
在LMR中,只有LMR.在NLR中,它是NLR.在NSCLCLC中,我们可以看到NSCLCLC.在PLR PLR中,多变量预测模型的多变量预测模型在术后90天的抑郁风险.

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K
Establishing a Competing Risk Regression Nomogram Model for Survival Data04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.1K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
321