Observational Study on the Causal Architecture of Polycystic Ovary Syndrome (PCOS)
An Observational Data Collection Study to Characterize the Hormonal, Metabolic, and Clinical Architecture of Polycystic Ovary Syndrome in Women Aged 18 to 45: A Global Recruitment Initiative
The goal of this observational study is to learn about the causal architecture of Polycystic Ovary Syndrome (PCOS) in women aged 18 to 45. The main questions it aims to answer are:
What does the hormonal, metabolic, and clinical architecture of PCOS look like across a diverse global population? Can the causal architecture of PCOS be reconstructed from existing lab results and clinical data? Are there distinct architectural patterns across different groups of women with PCOS? Participants who have been diagnosed with PCOS by a healthcare provider will complete an online questionnaire about their diagnosis, symptoms, clinical history, current treatment, and existing lab results. Participants will also be asked to submit copies of their most recent blood work and lab results. No intervention or treatment is involved. All data is de-identified.
Visão geral do estudo
Status
Condições
Intervenção / Tratamento
Descrição detalhada
Polycystic Ovary Syndrome (PCOS) affects approximately 1 in 10 women of reproductive age worldwide. Despite its prevalence, the causal architecture of PCOS remains poorly characterized. Current treatment approaches focus on symptom management rather than addressing underlying biological structure.
This study takes a different approach. Using a computational methodology called Biology First Intelligence, developed by AnnieGuard, the study aims to reconstruct the causal architecture of PCOS from participant-submitted clinical data. Rather than predicting outcomes from statistical correlations, the methodology maps how the condition is structurally built at the biological level, with the goal of identifying architectural patterns that may inform future treatment strategies.
The study collects data across six clinical domains: androgen profile (total testosterone, free testosterone, DHEA-S, androstenedione, SHBG), reproductive hormones (LH, FSH, AMH, estradiol, progesterone, prolactin), metabolic markers (fasting insulin, fasting glucose, HbA1c, HOMA-IR), thyroid function (TSH, free T4, free T3, TPO antibodies), lipid profile (total cholesterol, HDL, LDL, triglycerides), and inflammatory and nutritional markers (vitamin D, ferritin, B12, CRP, cortisol, 17-hydroxyprogesterone).
Participants complete a structured online questionnaire covering demographics, diagnosis history, Rotterdam criteria, current symptoms, comorbidities, family history, current medications, dietary approach, exercise habits, and self-reported lab values. Participants are also asked to submit copies of their lab results directly to the research team for verification.
The study recruits globally with no geographic restriction. Eligibility requires a confirmed PCOS diagnosis from a licensed healthcare provider, age 18 to 45, and willingness to share clinical data voluntarily.
The primary outcome is the computational reconstruction of the causal architecture of PCOS across the study cohort. Secondary outcomes include identification of cohort-level architectural patterns, characterization of PCOS subtypes based on biological architecture, and assessment of the relationship between current treatment approaches and underlying causal structure.
Tipo de estudo
Inscrição (Estimado)
Contactos e Locais
Contato de estudo
- Nome: Tiara Principal Investigator
- Número de telefone: 240-234-0449
- E-mail: info@annieguard.com
Critérios de participação
Critérios de elegibilidade
Idades elegíveis para estudo
- Adulto
Aceita Voluntários Saudáveis
Método de amostragem
População do estudo
Descrição
Inclusion Criteria:
- Female
- Aged 18 to 45 years
- Diagnosed with Polycystic Ovary Syndrome (PCOS) by a licensed healthcare provider
- Willing to voluntarily share existing lab results and clinical history
- Able to provide informed consent
Exclusion Criteria:
- Under 18 years of age
- Over 45 years of age
- No confirmed PCOS diagnosis from a licensed healthcare provider
- Unable or unwilling to provide informed consent
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
Coortes e Intervenções
Grupo / Coorte |
Intervenção / Tratamento |
|---|---|
|
PCOS Cohort
Women aged 18 to 45 diagnosed with Polycystic Ovary Syndrome (PCOS) by a licensed healthcare provider.
Participants complete an online questionnaire covering diagnosis history, symptoms, comorbidities, family history, current treatment, and self-reported lab values.
Participants also submit copies of their lab results for verification.
No intervention is administered.
|
This is an observational study.
No intervention or treatment is administered.
Participants submit existing lab results and clinical history through an online questionnaire.
|
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Computational Reconstruction of the Causal Architecture of PCOS
Prazo: Upon completion of data collection, approximately 2 months from study start
|
Reconstruction of the hormonal, metabolic, and clinical architecture of Polycystic Ovary Syndrome across the study cohort using computational analysis of participant-submitted lab results and clinical data.
|
Upon completion of data collection, approximately 2 months from study start
|
Medidas de resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Identification of Architectural Patterns Across PCOS Cohort
Prazo: Upon completion of data analysis, approximately 2 months from study start
|
Identification and characterization of distinct architectural patterns across participant cohorts based on hormonal, metabolic, thyroid, lipid, and inflammatory marker profiles.
|
Upon completion of data analysis, approximately 2 months from study start
|
|
Assessment of Current Treatment Approaches Relative to Causal Architecture
Prazo: Upon completion of data analysis, approximately 2 months from study start
|
Evaluation of the relationship between participants' current treatment approaches and the underlying causal architecture identified through computational reconstruction.
|
Upon completion of data analysis, approximately 2 months from study start
|
Colaboradores e Investigadores
Patrocinador
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Estimado)
Conclusão Primária (Estimado)
Conclusão do estudo (Estimado)
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Real)
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Termos MeSH relevantes adicionais
- Doenças urogenitais
- Doenças Genitais
- Doenças do Sistema Endócrino
- Neoplasias
- Doenças Urogenitais Femininas
- Doenças urogenitais femininas e complicações na gravidez
- Doenças Genitais Femininas
- Doenças ovarianas
- Doenças anexiais
- Distúrbios Gonadais
- Cistos ovarianos
- Cistos
- Síndrome dos ovários policísticos
Outros números de identificação do estudo
- AG-PCOS-2026-001
Plano para dados de participantes individuais (IPD)
Planeja compartilhar dados de participantes individuais (IPD)?
Informações sobre medicamentos e dispositivos, documentos de estudo
Estuda um medicamento regulamentado pela FDA dos EUA
Estuda um produto de dispositivo regulamentado pela FDA dos EUA
Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .