Evidence Hub

The paradoxical association between endometrioma size and serum anti-Müllerian hormone levels in infertile women

Kordi SK, Esmaeilzadeh S, Basirat Z, Shirafkan H, Mirabi P

Scientific reports, 2026

210 participants

Abstract

The impact of endometrioma size on ovarian reserve remains controversial. Although endometriomas are known to reduce anti-Müllerian hormone (AMH) levels, some studies suggest a paradoxical association between larger cysts and higher AMH. This cross-sectional study enrolled 210 infertile women between January 2023 and March 2025: 150 with laparoscopy-confirmed untreated unilateral endometriomas and 60 controls with male-factor infertility and normal ovaries. Serum AMH, follicle-stimulating hormone, luteinizing hormone, and prolactin were measured on cycle day 3. Endometrioma diameter was measured by transvaginal ultrasound. AMH levels were compared across cyst size categories (≤ 30 mm, 31-50 mm, > 50 mm) using one-way analysis of variance and multiple linear regression, adjusting for age and follicle-stimulating hormone. Mean AMH levels did not differ significantly between the endometrioma and control groups (2.24 ± 1.90 vs. 2.38 ± 1.45 ng/mL; p = 0.30). Within the endometrioma cohort, AMH increased with cyst size (F = 4.98, p = 0.008): 1.72 ± 1.26 ng/mL (≤ 30 mm), 2.23 ± 1.78 ng/mL (31-50 mm), and 2.70 ± 1.69 ng/mL (> 50 mm). Post hoc analysis showed significantly higher AMH in cysts > 50 mm compared with ≤ 30 mm (p = 0.01). In multivariable regression analysis, cyst diameter independently predicted AMH levels (β = 0.031, p < 0.001). Larger endometriomas were paradoxically associated with higher AMH levels. Interpretation of AMH in women with endometriomas should be…

How strong is the evidence?

Evidence Hub reads this as a case-control, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 210 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free