Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Vitamin A Deficiency Induces Congenital Vertebral Malformation via Retinoic Acid Signaling Mediated Sclerotome Dysplasia.

Neurospine·2025
Same author

Visual Observation of Abdominal Adhesion Progression Based on an Optimized Mouse Model of Postoperative Abdominal Adhesions.

Journal of investigative surgery : the official journal of the Academy of Surgical Research·2023
Same author

Huaier suppresses pancreatic cancer progression <i>via</i> activating cell autophagy induced ferroptosis.

Frontiers in oncology·2022
Same author

Weak electro-stimulation promotes microbial uranium removal: Efficacy and mechanisms.

Journal of hazardous materials·2022
Same author

Novel Advances in the Study of IgG4-Related Disease in the Eye and Ocular Adnexa.

Ophthalmic research·2022
Same author

Electronic structure modulation of nickel hydroxide porous nanowire arrays via manganese doping for urea-assisted energy-efficient hydrogen generation.

Journal of colloid and interface science·2022

相关实验视频

Updated: Jul 6, 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

290

初级脏淋巴瘤的预后性诺莫图:基于SEER数据库的研究

Fan Chen1, Hong Long2, Jiachun Ding1

  • 1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University No. 277, West Yanta Road, Yanta District, Xi'an 710061, Shaanxi, China.

American journal of cancer research
|January 8, 2024
PubMed
概括

这项研究开发了一种名谱,用于预测原发性淋巴瘤 (PSL) 患者的生存率. 该模型准确预测整体存活率 (OS) 和癌症特异性存活率 (CSS),为个性化患者护理提供了一种实用工具.

关键词:
主要的脊髓淋巴瘤.癌症特异性生存率 癌症特异性生存率这个名字是名ogramogram.总体存活率 总体存活率

更多相关视频

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
Bloodless Laparoscopic Partial Splenectomy Assisted by Bipolar Radiofrequency Excision Hemostatic Device
04:40

Bloodless Laparoscopic Partial Splenectomy Assisted by Bipolar Radiofrequency Excision Hemostatic Device

Published on: November 4, 2022

1.1K

相关实验视频

Last Updated: Jul 6, 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

290
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K
Bloodless Laparoscopic Partial Splenectomy Assisted by Bipolar Radiofrequency Excision Hemostatic Device
04:40

Bloodless Laparoscopic Partial Splenectomy Assisted by Bipolar Radiofrequency Excision Hemostatic Device

Published on: November 4, 2022

1.1K

科学领域:

  • 在瘤学瘤学.
  • 医学统计 医学统计
  • 血液学 血液学 血液学

背景情况:

  • 主要淋巴瘤 (PSL) 是一种罕见的恶性瘤,预后可变.
  • 准确预测患者的生存率对于有效的治疗规划和管理至关重要.
  • 现有的PSL预后模型可能缺乏全面的验证或临床适用性.

研究的目的:

  • 开发和验证一种名谱模型,用于预测原发性淋巴瘤 (PSL) 患者的整体存活率 (OS) 和癌症特异性存活率 (CSS).
  • 确定影响PSL预后的关键临床病理因素.
  • 在临床环境中提供个性化生存预测的实用工具.

主要方法:

  • 来自SEER数据库和单一机构的4074名PSL患者的回顾性分析.
  • 使用单变量和多变量考克斯回归分析开发名图.
  • 使用一致性指数 (C-index),ROC曲线,校准曲线和决策曲线分析 (DCA) 对名图的内部和外部验证.

主要成果:

  • 诺米图表表现出了对OS和CSS的良好预测能力.
  • 关键的OS预测因素包括年龄,性别,婚姻状况,Ann Arbor阶段,组织学,手术,化疗和诊断年份.
  • 对于CSS的关键预测因素包括年龄,Ann Arbor阶段,组织学,化疗和诊断年份. 在数据集中,C指数在OS的0.672到0.704,CSS的0.676到0.685之间.

结论:

  • 开发的诺米图是预测PSL患者的OS和CSS的可靠和临床适用工具.
  • 该模型促进了快速准确的个性化生存预测.
  • 这种工具可以帮助临床医生优化治疗策略和为原发性淋巴瘤提供患者咨询.