Efficacy of Oral Medications or Intrauterine Device-Delivered Progestin in Patients with Endometrial Hyperplasia with or without Atypia: A Network Meta-Analysis

J Clin Med. 2023 Apr 19;12(8):2980. doi: 10.3390/jcm12082980.

Abstract

The aim of this systematic review was to evaluate the efficacy of oral medication or intrauterine device-delivered progestins in patients with endometrial hyperplasia (EH) with or without atypia. We systematically examined PubMed, EMBASE, the Cochrane Library, and clinicaltrials.gov to identify studies reporting the regression rate of patients with EH who received progestins or non-progestins. The regression rates after different treatments were compared using a network meta-analysis in terms of the relative ratios (RRs) and 95% confidence intervals (CIs). Begg-Mazumdar rank correlation and funnel plots were performed to evaluate the publication bias. Five non-randomized studies and 21 randomized controlled trials involving 2268 patients were included in the network meta-analysis. The levonorgestrel-releasing intrauterine system (LNG-IUS) was associated with a higher regression rate than medroxyprogesterone acetate (MPA) (RR 1.30, 95% CI 1.16-1.46) in patients with EH. Among those without atypia, the LNG-IUS was associated with a higher regression rate than any of the three types of oral medications (MPA, norethisterone, or dydrogesterone (DGT)) (RR 1.35, 95% CI 1.18-1.55). According to the network meta-analysis, combining the LNG-IUS with MPA or metformin increased regression rate, while DGT was associated with the highest regression rate among all oral medications. The LNG-IUS may be the best choice for patients with EH, and combining it with MPA or metformin may further improve its efficacy. DGT may be the preferred choice for patients who are unwilling to use the LNG-IUS or who cannot tolerate its side effects.

Keywords: endometrial hyperplasia; hormonal therapy; levonorgestrel-releasing intrauterine system; network meta-analysis; oral progestin.

Publication types

  • Review

Grants and funding

This study was supported by the Science and Technology Department of Sichuan Province, China (2017SZ0118, 2021YJ0124).