化学疗法期间淋巴瘤患者的当代症状网络分析:单中心前性横截面研究的协议
Xingyu Chen1, Lizhen Liu1, Wenxin Li1
1Department of Lymphatic Oncology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China.
BMJ open
|August 23, 2024
概括
这项研究绘制了接受化疗的淋巴瘤患者的症状网络,揭示了关键症状关系和网络密度,以实现个性化的症状管理. 了解这些网络可以改善癌症治疗期间的患者护理.
科学领域:
- 在瘤学瘤学.
- 症状科学 症状科学
- 网络分析 网络分析
背景情况:
- 症状网络为个性化症状管理策略提供了一个框架.
- 化学疗法期间淋巴瘤患者的症状网络存在有限的研究.
研究的目的:
- 在接受化疗的淋巴瘤患者中建立同时出现症状的网络.
- 探索这些症状网络中的中心性指数和网络密度.
- 分析网络密度对患者预后的预测作用.
主要方法:
- 单中心前性横截面研究,涉及315名淋巴瘤患者.
- 利用了来自一般数据问卷和淋巴瘤症状评估尺度的患者报告的结果措施.
- 雇佣R包用于构建同时症状网络并分析关系和预测角色.
主要成果:
- 在化疗期间为淋巴瘤患者构建同时症状网络.
- 分析中心性指数和网络密度,以确定核心症状及其相互关系.
- 探索网络密度对患者预后的预测能力.
结论:
- 建立了理解化疗期间淋巴瘤患者复杂症状相互作用的基础.
- 强调网络分析在开发有针对性和个性化的症状管理干预措施方面的潜力.
- 建议网络密度作为这种患者群体中潜在的预后指标.
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