吸烟与膝关节骨关节炎的关联结构缺陷和症状:个体参与者数据的元分析
Zubeyir Salis1, Amanda Sainsbury2
1Division of Rheumatology, Geneva University Hospital and Faculty of Medicine, University of Geneva, HUG Av. de Beau-Séjour 26, 1206, Geneva, Switzerland. Zubeyir.Salis@etu.unige.ch.
Scientific reports
|November 23, 2024
概括
以前的研究表明,吸烟可以预防膝关节骨关节炎 (KOA). 这项对个人参与者数据的元分析没有发现对KOA发病率或进展的吸烟保护的证据,反驳了之前的说法.
科学领域:
- 类风湿病学 类风湿病学
- 流行病学 流行病学
- 整形外科 整形外科 整形外科
背景情况:
- 之前使用汇总数据的元分析表明,吸烟和膝关节关节炎 (KOA) 之间存在保护性关联.
- 这些综合分析可能会掩盖个人层面的影响,并导致偏见的结论.
- 确定了使用个人参与者数据 (IPD) 获得更高质量的证据的需求.
研究的目的:
- 进行IPD元分析,严格评估吸烟状态和KOA结果之间的关系.
- 评估吸烟对KOA结构性关节变化和症状发展的影响.
- 为了确定吸烟是否能防止膝关节骨关节炎的发生或进展.
主要方法:
- 从三个大队伍中利用了IPD:骨关节炎倡议 (OAI),多中心骨关节炎研究 (MOST) 和队列部和队列膝盖 (CHECK).
- 包括来自美国和荷兰的16个中心的参与者,分为现有,前任或从未吸烟者.
- 评估了六个KOA结局:放射性发生率和进展,症状发生率,以及多次随访期间的WOMAC疼痛,残疾和硬度得分.
主要成果:
- 在吸烟群体的放射性KOA发病率或进展中没有观察到统计学上显著的差异.
- 根据吸烟状态,在症状性KOA的发病率上没有发现差异.
- 对WOMAC分量尺度 (疼痛,残疾,硬) 的分析显示,当前吸烟者,前吸烟者和从未吸烟者之间没有明显差异.
结论:
- 这项IPD元分析提供了强有力的证据,驳斥了吸烟可以预防膝关节关节炎的假设.
- 这些发现表明,吸烟状态不会影响KOA的结构或症状发展.
- 该研究强调了聚合数据的局限性,并强调了IPD对于关节健康的准确流行病学研究的价值.
相关概念视频
01:20The JAK-STAT Signaling Pathway
8.7K
Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as SH2...
8.7K
01:20Chronic Obstructive Pulmonary Disease-II: Pathophysiology
2.7K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
Chronic Inflammation
2.7K
01:25Statistical Methods for Analyzing Epidemiological Data
305
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
305