报告系统性审查和喉整形术的元分析中的偏见患病率:系统性审查
Brandon A Young1, James C Dawahare1, Eric H Lin2
1Department of Orthopaedic Surgery, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
The American journal of sports medicine
|September 24, 2025
概括
旋转,或报告偏差,是常见的三整形系统性审查的摘要. 临床医生应该阅读完整的文章,因为抽象的结果可能会夸大治疗的有效性和安全性.
科学领域:
- 整形外科手术 整形外科手术
- 基于证据的医学基于证据的医学.
背景情况:
- 系统性审查和元分析的摘要提供了完整文本的简要摘要.
- 旋转,定义为对结果的偏见报告,以夸大治疗疗效或安全性,可能会对临床决策产生负面影响.
- 识别摘要中的旋转对于准确解释研究结果至关重要.
研究的目的:
- 识别和分析系统性审查和三整形的元分析摘要中的旋转的发生率和类型.
- 为了确定在文献中是否存在可识别的旋转模式.
- 为了测试三整形术系统审查摘要包含旋转元素的假设.
主要方法:
- 系统审查遵循系统审查和元分析 (PRISMA) 准则的首选报告项目.
- 搜索了PubMed,Scopus,Web of Science和谷歌学者数据库,以获得关于三角膜整形术的系统审查和元分析.
- 使用测量工具评估系统审查 (AMSTAR 2) 评估研究质量,并使用费舍尔精确测试检查旋转发生率.
主要成果:
- 20项研究符合纳入标准,9项是元分析.
- 所有包括的研究都显示至少一种旋转类型 (中位数1,范围1-5).
- 最常见的旋转类型 (50%) 涉及结论夸大有益影响,尽管主要研究中的偏差很高;在旋转类型和研究特征之间没有发现显著的关联.
结论:
- 报告偏差 (旋转) 在三整形系统性审查和元分析的摘要中非常普遍.
- 这些摘要中的旋转往往有利于实验性治疗的安全性,疗效和有益影响,可能会误导临床医生.
- 临床医生必须查阅全文文章以获得准确的信息,并且旋转偏差评估应纳入PRISMA抽象指南.
相关概念视频
Bias in Epidemiological Studies
1.3K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.3K
Bias
7.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.2K


