Anti-Müllerian Hormone Levels Across Phenotypes in Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis

AMH levels differ markedly across PCOS phenotypes, with polycystic ovarian morphology exerting the greatest influence, followed by oligoanovulation and hyperandrogenism. Findings support the use of AMH in phenotype differentiation and emphasize the need for assay standardization and population-specific interpretation.

Authors

Institutions

Publication Details

Journal
Journal of the Endocrine Society
Published
2025-12-13
DOI
https://doi.org/10.1210/jendso/bvaf199
Citations
1
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anti-Müllerian Hormone Levels Across Phenotypes in Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis

José Maria Soares, Patrícia Jorge Schwenck de Carvalho, Giovana De Nardo Maffazioli, Renata Ferri Macchione et al.
1 citations
Journal of the Endocrine Society
Ovarian function and disorders
1.70
article

Anti-Müllerian Hormone Levels Across Phenotypes in Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis

José Maria Soares, Patrícia Jorge Schwenck de Carvalho, Giovana De Nardo Maffazioli, Renata Ferri Macchione, Ricardo Santos Simões, Gustavo Arantes Rosa Maciel, Edmund Chada Baracat, Sebastião Freitas de Medeiros
article en
1 citations

Abstract

AMH levels differ markedly across PCOS phenotypes, with polycystic ovarian morphology exerting the greatest influence, followed by oligoanovulation and hyperandrogenism. Findings support the use of AMH in phenotype differentiation and emphasize the need for assay standardization and population-specific interpretation.

Journal of the Endocrine SocietyVol. 10(3)
Universidade Federal de Mato Grosso (BR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Openalex Percentile: Top 11%
Ovarian function and disorders
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Anti-Müllerian Hormone Levels Across Phenotypes in Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis — José Maria Soares, Patrícia Jorge Schwenck de Carvalho, et al. · Journal of the Endocrine Society (2025) | TGRS Research Map | TGRS