贝尔的季节性模式:一个系统的审查和元分析
Bander Fahad Aljarallah1,2,3, Faisal Sulaiman Alolayqi1,2,3, Bassam Ahmed Alghizzi4
1King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
贝尔 (BP) 病例在冬季和秋季最常见,这表明可能存在季节性联系. 需要进一步的研究来确认贝尔和季节性变异之间的关联.
科学领域:
- 神经学 神经学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 贝尔 (Bell's palsy,简称BP) 是一种异常疾病,由于第七大脑神经功能障碍,导致单侧面部.
- 现有文献提出了关于季节性变化的影响BP发生率的相互矛盾的发现.
- 有限的系统审查已经全面分析了季节和贝尔之间的关系.
研究的目的:
- 进行现有队列研究的系统审查和元分析.
- 评估四个季节与特异性贝尔的发生之间的关联.
主要方法:
- 在PubMed,Google Scholar和Web of Science数据库中进行了系统的文献搜索,遵循PRISMA指南.
- 包括8个队列研究,包括3,363名贝尔患者.
- 使用纽卡斯尔-太华尺度 (NOS) 评估偏差的质量和风险;使用随机效应模型进行的元分析.
主要成果:
- 贝尔病例的总比重在冬季 (0.27) 和秋季 (0.26) 最高,其次是春季 (0.24) 和夏季 (0.22).
- 亚组分析表明,与温暖的月份相比,寒冷的月份的发病率更高.
- 对子组差异的测试没有产生统计学上显著的结果 (p = 0.0850).
结论:
- 贝尔病例在寒冷的季节更常见,尽管没有达到统计学意义.
- 这些发现强调了需要在不同的地理和气候区域进行额外的研究.
- 建议进行进一步的研究,以最终澄清季节性变化对贝尔的潜在影响.
更多相关视频
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
08:36Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
相关概念视频
The Phase Rule
Routh-Hurwitz Criterion I
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
Routh-Hurwitz Criterion II
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Sieve Analysis and Grading Curves
