透析患者肉类症风险的预测模型:系统性审查和批判性评估
Zhuoer Hou1,2, Xiaoyan Li1, Lili Yang1
1The College of Nursing, Zhejiang Chinese Medical University, Hangzhou, China.
Aging clinical and experimental research
|January 3, 2025
概括
这次审查发现了透析患者中13种类型的萨尔科佩尼亚预测模型,但所有这些都具有偏差的高风险. 需要进一步的研究来改进这些模型,以获得更好的患者护理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 老年病的医生 老年病的医生
- 生物统计学 生物统计学
背景情况:
- 石症是透析患者的一个重大问题.
- 现有的预测模型对于这个群体的肉类症在质量和适用性上有所不同.
- 需要进行系统的评估,以了解这些模型的当前情景.
研究的目的:
- 系统地审查和批判性地评价透析患者中的预测模型.
- 评估现有模型的质量和适用性.
- 确定在透析过程中对石症的预测建模方面的差距和改进领域.
主要方法:
- 在2024年3月之前,对五个数据库进行系统搜索.
- 包括观察性研究在成人透析患者中开发或验证肉类的预测模型.
- 使用预测模型偏差风险评估工具进行质量评估.
主要成果:
- 13项研究确定了13种预测模型,用于透析患者的萨尔科佩尼亚.
- 麻症的发病率从6.6%到34.4%不等;常见的预测因素包括年龄和BMI.
- 所有模型都表现出高偏差风险,特别是在结果报告和分析中;有些模型存在适用性问题.
结论:
- 目前在透析患者中对缩症的预测模型具有高偏差风险.
- 严格验证和改进当前模型的需求至关重要.
- 未来的研究应该专注于使用标准化方法开发新的,强大的模型.
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