Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis

Abstract Background Increasingly studies reported that the Anti-Müllerian hormone (AMH) seems to be a promising and reliable marker of functional ovarian follicle reserve, even better than the AFC test. Our study aimed to conduct a meta-analysis to assess the predictive value of AMH and AFC for pred...

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Main Authors: Yang Liu, Zhengmei Pan, Yanzhi Wu, Jiamei Song, Jingsi Chen
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Journal of Ovarian Research
Subjects:
Online Access:https://doi.org/10.1186/s13048-023-01202-5
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author Yang Liu
Zhengmei Pan
Yanzhi Wu
Jiamei Song
Jingsi Chen
author_facet Yang Liu
Zhengmei Pan
Yanzhi Wu
Jiamei Song
Jingsi Chen
author_sort Yang Liu
collection DOAJ
description Abstract Background Increasingly studies reported that the Anti-Müllerian hormone (AMH) seems to be a promising and reliable marker of functional ovarian follicle reserve, even better than the AFC test. Our study aimed to conduct a meta-analysis to assess the predictive value of AMH and AFC for predicting poor or high response in IVF treatment. An electronic search was conducted, and the following databases were used: PubMed, EMBASE, and the Cochrane Library (up to 7 May 2022). The bivariate regression model was used to calculate the pooled sensitivity, specificity, and area under the receiver operator characteristic (ROC) curve. Subgroup analyses and meta-regression also were used in the presented study. Overall performance was assessed by estimating pooled ROC curves between AMH and AFC. Results Forty-two studies were eligible for this meta-analysis. Comparison of the summary estimates for the prediction of poor or high response showed significant difference in performance for AMH compared with AFC [poor (sensitivity: 0.80 vs 0.74, P < 0.050; specificity: 0.81 vs 0.85, P < 0.001); high (sensitivity: 0.81 vs 0.87, P < 0.001)]. However, there were no significant differences between the ROC curves of AMH and AFC for predicting high (P = 0.835) or poor response (P = 0.567). The cut-off value was a significant source of heterogeneity in the present study. Conclusions The present meta-analysis demonstrated that both AMH and AFC have a good predictive ability to the prediction of poor or high responses in IVF treatment.
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spelling doaj.art-f3b79eb45cd942a38e4fa5874cd47b772023-07-02T11:23:06ZengBMCJournal of Ovarian Research1757-22152023-06-0116111110.1186/s13048-023-01202-5Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysisYang Liu0Zhengmei Pan1Yanzhi Wu2Jiamei Song3Jingsi Chen4Department of Reproduction, The Second Affiliated Hospital of Kunming Medical UniversityDepartment of Reproduction, The Second Affiliated Hospital of Kunming Medical UniversityDepartment of Reproduction, The Second Affiliated Hospital of Kunming Medical UniversityDepartment of Reproduction, The Second Affiliated Hospital of Kunming Medical UniversityDepartment of Reproduction, The Second Affiliated Hospital of Kunming Medical UniversityAbstract Background Increasingly studies reported that the Anti-Müllerian hormone (AMH) seems to be a promising and reliable marker of functional ovarian follicle reserve, even better than the AFC test. Our study aimed to conduct a meta-analysis to assess the predictive value of AMH and AFC for predicting poor or high response in IVF treatment. An electronic search was conducted, and the following databases were used: PubMed, EMBASE, and the Cochrane Library (up to 7 May 2022). The bivariate regression model was used to calculate the pooled sensitivity, specificity, and area under the receiver operator characteristic (ROC) curve. Subgroup analyses and meta-regression also were used in the presented study. Overall performance was assessed by estimating pooled ROC curves between AMH and AFC. Results Forty-two studies were eligible for this meta-analysis. Comparison of the summary estimates for the prediction of poor or high response showed significant difference in performance for AMH compared with AFC [poor (sensitivity: 0.80 vs 0.74, P < 0.050; specificity: 0.81 vs 0.85, P < 0.001); high (sensitivity: 0.81 vs 0.87, P < 0.001)]. However, there were no significant differences between the ROC curves of AMH and AFC for predicting high (P = 0.835) or poor response (P = 0.567). The cut-off value was a significant source of heterogeneity in the present study. Conclusions The present meta-analysis demonstrated that both AMH and AFC have a good predictive ability to the prediction of poor or high responses in IVF treatment.https://doi.org/10.1186/s13048-023-01202-5Anti-Müllerian hormoneAntral follicle countOvarian responseIn vitro fertilizationMeta-analysis
spellingShingle Yang Liu
Zhengmei Pan
Yanzhi Wu
Jiamei Song
Jingsi Chen
Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
Journal of Ovarian Research
Anti-Müllerian hormone
Antral follicle count
Ovarian response
In vitro fertilization
Meta-analysis
title Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
title_full Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
title_fullStr Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
title_full_unstemmed Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
title_short Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis
title_sort comparison of anti mullerian hormone and antral follicle count in the prediction of ovarian response a systematic review and meta analysis
topic Anti-Müllerian hormone
Antral follicle count
Ovarian response
In vitro fertilization
Meta-analysis
url https://doi.org/10.1186/s13048-023-01202-5
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