Li Jiacheng, Guo Yi, Weng Chengxin, Wang Tiehao, Lu Wei, Lin Lihong, Wu Jiawen, Cheng Guobing, Hu Qiang
Department of Vascular Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Department of Nosocomial Infection Control, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China
BMJ Open. 2025 May 2;15(5):e098320. doi: 10.1136/bmjopen-2024-098320.
To systematically assess the robustness of meta-analyses based on randomised controlled trials (RCTs) in vascular surgery using the Fragility Index (FI).
Cross-sectional study.
Meta-analyses published in English from January 2019 to April 2025, identified from EMBASE, PubMed and Web of Science.
67 articles, with 291 meta-analyses involving RCTs evaluating vascular surgical interventions, covering venous, aortic, peripheral arterial, vascular access and other relevant fields.
FI, defined as the minimum number of event changes required to alter the statistical significance of meta-analysis results, and its association with sample size and total number of events, analysed using frequency distribution histograms and restricted cubic spline models.
The median FI was 7, with considerable variation across different fields. Aortic meta-analyses demonstrated higher robustness compared with venous and vascular access meta-analyses. FI showed a non-linear relationship with sample size and total number of events, indicating robustness improved only up to specific thresholds, beyond which robustness declined or plateaued.
Overall robustness of meta-analyses in vascular surgery was moderate, with notable variability among research areas. FI provides valuable insight into the stability of synthesised evidence, suggesting the need for improved methodological quality and advocating broader adoption of FI in meta-analytical research.
使用脆弱性指数(FI)系统评估基于血管外科随机对照试验(RCT)的荟萃分析的稳健性。
横断面研究。
2019年1月至2025年4月以英文发表的荟萃分析,从EMBASE、PubMed和科学网中识别。
67篇文章,其中291项荟萃分析涉及评估血管外科干预措施的RCT,涵盖静脉、主动脉、外周动脉、血管通路及其他相关领域。
FI定义为改变荟萃分析结果统计学显著性所需的最小事件变化数,使用频率分布直方图和受限立方样条模型分析其与样本量和事件总数的关联。
FI中位数为7,不同领域差异较大。与静脉和血管通路荟萃分析相比,主动脉荟萃分析显示出更高的稳健性。FI与样本量和事件总数呈非线性关系,表明稳健性仅在特定阈值之前有所提高,超过该阈值后稳健性下降或趋于平稳。
血管外科荟萃分析的总体稳健性中等,各研究领域存在显著差异。FI为综合证据的稳定性提供了有价值的见解,表明需要提高方法学质量,并提倡在荟萃分析研究中更广泛地采用FI。