Prevalence and Metabolic Characterization of Polycystic Ovary Syndrome in a Cohort of Patients Diagnosed with Spina Bifida: Study Protocol

<b>Background:</b> Myelomeningocele, commonly known as spina bifida, is a congenital malformation of the spinal cord. Polycystic ovary syndrome (PCOS) is a complex endocrine-metabolic disorder affecting 9-21% of women of reproductive age and is characterized by hyperandrogenism and ovulatory dysfunction. Hyperhomocysteinemia, insulin resistance, metabolic syndrome, and alterations in inositol metabolism play a crucial pathophysiological role in both PCOS and spina bifida; however, the potential link between these two significant conditions has not been explored. <b>Objectives:</b> The primary objective of our study is to assess the prevalence of PCOS among female pediatric patients with a prior diagnosis of spina bifida. Additionally, we will evaluate differences in auxological and metabolic parameters between patients diagnosed with PCOS and those without the diagnosis. The secondary objectives of our study include the following: characterizing the metabolic profiles of patients with PCOS and differentiating between various phenotypic forms of PCOS. <b>Methods:</b> Prospective, cross-sectional, observational, and monocentric study. The study will have an overall duration of 24 months, with the potential for extension until the last patient is enrolled. The recruitment period is set at 12 months.

Authors

Institutions

Publication Details

Journal
Children
Published
2025-06-27
DOI
https://doi.org/10.3390/children12070851
Primary Topic
Assisted Reproductive Technology and Twin Pregnancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence and Metabolic Characterization of Polycystic Ovary Syndrome in a Cohort of Patients Diagnosed with Spina Bifida: Study Protocol

Giorgio Sodero, Claudia Rendeli, Federica Arzilli, Clelia Cipolla
Children
Assisted Reproductive Technology and Twin Pregnancy
article

Prevalence and Metabolic Characterization of Polycystic Ovary Syndrome in a Cohort of Patients Diagnosed with Spina Bifida: Study Protocol

Giorgio Sodero, Claudia Rendeli, Federica Arzilli, Clelia Cipolla
article en

Abstract

<b>Background:</b> Myelomeningocele, commonly known as spina bifida, is a congenital malformation of the spinal cord. Polycystic ovary syndrome (PCOS) is a complex endocrine-metabolic disorder affecting 9-21% of women of reproductive age and is characterized by hyperandrogenism and ovulatory dysfunction. Hyperhomocysteinemia, insulin resistance, metabolic syndrome, and alterations in inositol metabolism play a crucial pathophysiological role in both PCOS and spina bifida; however, the potential link between these two significant conditions has not been explored. <b>Objectives:</b> The primary objective of our study is to assess the prevalence of PCOS among female pediatric patients with a prior diagnosis of spina bifida. Additionally, we will evaluate differences in auxological and metabolic parameters between patients diagnosed with PCOS and those without the diagnosis. The secondary objectives of our study include the following: characterizing the metabolic profiles of patients with PCOS and differentiating between various phenotypic forms of PCOS. <b>Methods:</b> Prospective, cross-sectional, observational, and monocentric study. The study will have an overall duration of 24 months, with the potential for extension until the last patient is enrolled. The recruitment period is set at 12 months.

ChildrenVol. 12(7)
Università Cattolica del Sacro Cuore (IT), Agostino Gemelli University Polyclinic (IT), Ospedale A. Perrino (IT)
Good health and well-being
Openalex Percentile: Top 77%
Assisted Reproductive Technology and Twin Pregnancy
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.