在患有宫癌的患者同时进行化疗和放射治疗的相关症状:隐形形状分析和网络分析的应用
Xiangyu Lu1, Lingling Zheng1, Xue Jin1
1School of Nursing, Anhui Medical University, Hefei, China.
Asia-Pacific journal of oncology nursing
|February 3, 2025
概括
这项研究在接受并发化疗放射治疗 (CCRT) 的宫癌患者中确定了三个症状子组. 悲伤,恶心和吐成为关键症状,需要量身定制的管理策略,以改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 辐射瘤学 辐射瘤学
- 精神瘤学 精神瘤学
背景情况:
- 同时化疗放射治疗 (CCRT) 是宫癌的标准治疗方法,常常伴有显著的症状负担.
- 了解症状异质性和影响因素对于优化患者护理和治疗结果至关重要.
研究的目的:
- 在接受CCRT的宫癌患者中确定不同的症状子组.
- 探索影响这些症状子组的因素.
- 构建一个症状网络,并在总样本和子组中识别核心症状.
主要方法:
- 一项涉及378名接受CCRT的宫癌患者的横截面调查.
- 隐形形状分析 (LPA) 用于子组的识别.
- 多变量逻辑回归和网络分析 (使用R) 来检查影响因素和核心症状.
主要成果:
- 确定了三个症状子组:低 (52.91%),中度与肠道反应 (19.84%) 和高症状负担 (27.25%).
- 年龄,瘤阶段,化疗频率和二次性应对预测了亚组成员.
- 悲伤是整体的核心症状;恶心和吐是特定子组的核心症状.
结论:
- 接受CCRT的宫癌患者表现出不同的症状概况.
- 悲伤,恶心和吐被确定为关键核心症状.
- 为医疗保健专业人员推针对特定小组量身定制的个性化症状管理策略.
相关概念视频
Cancer Survival Analysis
321
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
Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists
147
Neurokinin 1 (NK1) receptors are distributed across the GI tract, vagal afferents, and key CNS regions including the central vomiting center and chemoreceptor trigger zone (CTZ) Chemotherapy agents stimulate enterochromaffin cells in the gastrointestinal (GI) tract to release large amounts of substance P (SP). SP is a neuropeptide released by specific sensory nerves in response to many different stressors, including those in the GI mucosa affected by chemotherapy. SP binds and activates...
147
Comparing the Survival Analysis of Two or More Groups
131
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
131


