Network meta-analysis of four common immunomodulatory therapies for the treatment of patients with thin endometrium

Autor: Lifei Li, Zhijian Kou, Fei Zhao, Yan Wang, Xuehong Zhang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Gynecological Endocrinology, Vol 40, Iss 1 (2024)
Druh dokumentu: article
ISSN: 09513590
1473-0766
0951-3590
DOI: 10.1080/09513590.2024.2360072
Popis: Obejective To compare the effectiveness of endometrial receptivity and pregnancy outcomes of four common immunomodulatory therapies for patients with thin endometrium.Method This systematic review and network meta-analysis using a literature search up to January 2024, to identify relevant trials comparing endometrial receptivity and pregnancy outcomes of human chorionic gonadotropin (hCG), platelet-rich plasma (PRP), infusion of granulocyte colony-stimulating factor (IG-CSF), and peripheral blood mononuclear cell (PBMC) for patients with thin endometrium. We used surface under the cumulative ranking (SUCRA) to ranked four common immunomodulatory therapies on endometrium thickness, implantation rate (IR), clinical pregnancy rate (CPR), and live birth rate (LBR). RoB2 and ROBINS-I were used to assess the certainty of evidence.Results The pooled results of 22 studies showed that hCG (mean difference [MD]: 3.05, 95% confidence interval [CI]: 1.46–4.64) and PRP (MD: 0.98, 95% CI: 0.20–1.76) significantly increase endometrium thickness. The hCG was the best among the IG-CSF (MD = −2.56, 95% CI = −4.30 to −0.82), PBMC (MD = −2.75, 95% CI = −5.49 to −0.01), and PRP (MD = −2.07, 95% CI = −3.84 to −0.30) in increasing endometrium thickness. However, IG-CSF and PRP significantly improved IR (IG-CSF: risk ratio (RR; IG-CSF: RR = 1.33, 95% CI = 1.06–1.67; PRP: RR = 1.63, 95% CI = 1.19–2.23), and LBR (IG-CSF: RR = 1.53, 95% CI = 1.16–2.02; PRP: RR = 1.59, 95% CI = 1.08–2.36).Conclusions Available evidence reveals that hCG and subcutaneous or intrauterine CSF (SG-CSF) may be the best treatment options for current thin endometrium patients. However, future high-quality and large-scale studies are necessary to validate our findings.
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