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Meta-Analysis
. 2024 May 18;17(1):106.
doi: 10.1186/s13048-024-01436-x.

Correlation between anti-mullerian hormone with insulin resistance in polycystic ovarian syndrome: a systematic review and meta-analysis

Mohd Zakwan Md Muslim  1 , Aniza Mohammed Jelani  2 , Noorazliyana Shafii  1 , Najib Majdi Yaacob  3 , Noor Azlin Azraini Che Soh  1 , Hanim Afzan Ibrahim  4
Affiliations
Meta-Analysis

Correlation between anti-mullerian hormone with insulin resistance in polycystic ovarian syndrome: a systematic review and meta-analysis

Mohd Zakwan Md Muslim et al. J Ovarian Res. .

Abstract

Background: Epidemiological studies regarding the correlation between anti-Müllerian hormone (AMH) and insulin resistance (IR) in polycystic ovarian syndrome (PCOS) remain inconsistent. The primary aim of this study was to determine the correlations between AMH and IR in patients with PCOS and to explore the selected factors that influence the correlations.

Methods: We conducted systemic searches of online databases (PubMed, Science Direct, Taylor and Francis, Scopus, and ProQuest) from inception to December 20, 2023 and manual searches of the associated bibliographies to identify relevant studies. We then performed subgroup and sensitivity analyses to explore the sources of heterogeneity, followed by a publication bias risk assessment of the included studies using the Joanna Briggs Institute critical appraisal tool. We used a random-effects model to estimate the pooled correlations between AMH and the homeostatic model assessment for insulin resistance (HOMA-IR) in patients with polycystic ovarian syndrome (PCOS).

Results: Of the 4835 articles identified, 22 eligible relevant studies from three regions were included and identified as low risk of bias. The random-effects pooled correlation estimate was 0.089 (95% confidence interval [CI]: -0.040, 0.215), with substantial heterogeneity (I2 = 87%; τ2 = 0.0475, p < .001). Subgroup analyses showed that the study region did not influence the correlation estimates, and sensitivity analysis showed no significant alteration in the pooled correlation estimate or 95% CI values. No publication bias was observed.

Conclusion: There was a weak, statistically insignificant correlation between AMH and HOMA-IR in patients with PCOS. The correlation estimates did not vary according to the study participants' regions.

Keywords: Homeostatic model assessment for insulin resistance; Insulin resistance; Meta-analysis; Polycystic ovary syndrome; Systematic review; anti-Müllerian hormone.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flowchart of the review process
Fig. 2
Fig. 2
Forest plot of the meta-analysis for the correlations between AMH and IR in PCOS patients
Fig. 3
Fig. 3
Subgroup analyses based on geographic region: a = Asia, b = Europe
Fig. 4
Fig. 4
Leave-one-out influential analysis
Fig. 5
Fig. 5
: Funnel plot for assessing publication bias in the included studies
See this image and copyright information in PMC

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