PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data

The diagnosis of polycystic ovary syndrome (PCOS) remains challenging due to limited data regarding normative cut-offs for the diagnostic features in different subpopulations. We aim to conduct a systematic review, build a comprehensive repository of de-identified individual participant data (IPD),...

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Autores principales:	Sylvia Kiconco, Aya Mousa, Ricardo Azziz, Joanne Enticott, Larisa V. Suturina, Xiaomiao Zhao, Alessandra Gambineri, Fahimeh Ramezani Tehrani, Bulent O. Yildiz, Jin-Ju Kim, Helena J. Teede, Anju E. Joham
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	PCOS polycystic ovaries Stein-Leventhal epidemiology normative cut-offs phenotype Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/7ddb605fbabd44c6bc8913faeb89af46
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spelling	oai:doaj.org-article:7ddb605fbabd44c6bc8913faeb89af462021-11-25T17:20:11ZPCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data10.3390/diagnostics111119532075-4418https://doaj.org/article/7ddb605fbabd44c6bc8913faeb89af462021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/1953https://doaj.org/toc/2075-4418The diagnosis of polycystic ovary syndrome (PCOS) remains challenging due to limited data regarding normative cut-offs for the diagnostic features in different subpopulations. We aim to conduct a systematic review, build a comprehensive repository of de-identified individual participant data (IPD), and define normative ranges and diagnostic cut-offs for all PCOS diagnostic features. We will conduct a systematic search of MEDLINE and EMBASE databases for studies that assessed PCOS diagnostic features in unselected women. Two reviewers will assess eligibility and perform quality appraisal. Authors of included studies will be invited to contribute IPD. Primary variables include directly assessed modified Ferriman Gallwey (mFG) scores; menstrual cycle lengths; follicle number per ovary (FNPO), ovarian volume (OV), anti-Müllerian hormone (AMH); circulating androgens, including total testosterone (TT), free testosterone, bioavailable testosterone, free androgen index (FAI), androstenedione (A4), and dehydroepiandrosterone sulphate (DHEAS). Normative ranges and cut-offs will be defined using cluster analysis. Monash University Human Research Ethics Committee granted ethical approval (26938/0 1/12/2020), all IPD will be de-identified and primary studies have ethical approval from their institutional ethics committees. Findings will clarify distinction between PCOS and non-PCOS populations, and inform the update of the international evidence-based guidelines for the assessment and management of PCOS.Sylvia KiconcoAya MousaRicardo AzzizJoanne EnticottLarisa V. SuturinaXiaomiao ZhaoAlessandra GambineriFahimeh Ramezani TehraniBulent O. YildizJin-Ju KimHelena J. TeedeAnju E. JohamMDPI AGarticlePCOSpolycystic ovariesStein-Leventhalepidemiologynormative cut-offsphenotypeMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 1953, p 1953 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	PCOS polycystic ovaries Stein-Leventhal epidemiology normative cut-offs phenotype Medicine (General) R5-920
spellingShingle	PCOS polycystic ovaries Stein-Leventhal epidemiology normative cut-offs phenotype Medicine (General) R5-920 Sylvia Kiconco Aya Mousa Ricardo Azziz Joanne Enticott Larisa V. Suturina Xiaomiao Zhao Alessandra Gambineri Fahimeh Ramezani Tehrani Bulent O. Yildiz Jin-Ju Kim Helena J. Teede Anju E. Joham PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
description	The diagnosis of polycystic ovary syndrome (PCOS) remains challenging due to limited data regarding normative cut-offs for the diagnostic features in different subpopulations. We aim to conduct a systematic review, build a comprehensive repository of de-identified individual participant data (IPD), and define normative ranges and diagnostic cut-offs for all PCOS diagnostic features. We will conduct a systematic search of MEDLINE and EMBASE databases for studies that assessed PCOS diagnostic features in unselected women. Two reviewers will assess eligibility and perform quality appraisal. Authors of included studies will be invited to contribute IPD. Primary variables include directly assessed modified Ferriman Gallwey (mFG) scores; menstrual cycle lengths; follicle number per ovary (FNPO), ovarian volume (OV), anti-Müllerian hormone (AMH); circulating androgens, including total testosterone (TT), free testosterone, bioavailable testosterone, free androgen index (FAI), androstenedione (A4), and dehydroepiandrosterone sulphate (DHEAS). Normative ranges and cut-offs will be defined using cluster analysis. Monash University Human Research Ethics Committee granted ethical approval (26938/0 1/12/2020), all IPD will be de-identified and primary studies have ethical approval from their institutional ethics committees. Findings will clarify distinction between PCOS and non-PCOS populations, and inform the update of the international evidence-based guidelines for the assessment and management of PCOS.
format	article
author	Sylvia Kiconco Aya Mousa Ricardo Azziz Joanne Enticott Larisa V. Suturina Xiaomiao Zhao Alessandra Gambineri Fahimeh Ramezani Tehrani Bulent O. Yildiz Jin-Ju Kim Helena J. Teede Anju E. Joham
author_facet	Sylvia Kiconco Aya Mousa Ricardo Azziz Joanne Enticott Larisa V. Suturina Xiaomiao Zhao Alessandra Gambineri Fahimeh Ramezani Tehrani Bulent O. Yildiz Jin-Ju Kim Helena J. Teede Anju E. Joham
author_sort	Sylvia Kiconco
title	PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
title_short	PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
title_full	PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
title_fullStr	PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
title_full_unstemmed	PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data
title_sort	pcos phenotype in unselected populations study (p-pup): protocol for a systematic review and defining pcos diagnostic features with pooled individual participant data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7ddb605fbabd44c6bc8913faeb89af46
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PCOS Phenotype in Unselected Populations Study (P-PUP): Protocol for a Systematic Review and Defining PCOS Diagnostic Features with Pooled Individual Participant Data

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