Network meta-analysis on the efficacy of different interventions for treating thin endometrium

作者：Feng Keng, Ling Wu, Zhao Zhang, Luo Yudi, Li Xiang, Derong Li, Zhong Junjie, Lan Liuping, Zhu Lingling · 发表于：Frontiers in Endocrinology · 年份：2025 · DOI：10.3389/fendo.2025.1575248 · 被引用次数：6 · 研究领域：Gynecological conditions and treatments、Reproductive System and Pregnancy、Ovarian function and disorders

Background: The incidence of thin endometrium in assisted reproductive technology (ART) is between 1% and 2.5%, yet its treatment options are varied and often show limited efficacy. There is an urgent need to delineate the relative effectiveness of various interventions to guide clinical practice. Objective: This study aims to systematically compare the efficacy of different interventions for treating thin endometrium via a network meta-analysis, focusing on improvements in endometrial thickness and clinical pregnancy rates. Methods: A systematic search was conducted in PubMed, The Cochrane Library, EMBASE, CBM, and CNKI databases, covering literature until December 31, 2024. Randomized controlled trials (RCTs) evaluating treatments for thin endometrium were included and assessed for quality using the Cochrane Risk of Bias Tool. Stata 17.0 software was used for the network meta-analysis, employing Bayesian methods to construct network diagrams and calculate the surface under the cumulative ranking curve (SUCRA). Results: Eighteen RCTs involving six interventions (oral aspirin, Ding Kun Dan, intrauterine infusion of platelet-rich plasma [PRP], intrauterine infusion of granulocyte-macrophage colony-stimulating factor [G-CSF], intramuscular injection of recombinant human growth hormone [rhGH], and neuromuscular electrical stimulation [NMES]) were included. The network meta-analysis revealed: 1) Endometrial thickness: All intervention groups showed varying degrees of effectivenes...