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.
연구 개요
상태
상세 설명
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.
연구 유형
등록 (추정된)
연락처 및 위치
연구 연락처
- 이름: Tiara Principal Investigator
- 전화번호: 240-234-0449
- 이메일: info@annieguard.com
참여기준
자격 기준
공부할 수 있는 나이
- 성인
건강한 자원 봉사자를 받아들입니다
샘플링 방법
연구 인구
설명
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
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
|---|---|
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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.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Computational Reconstruction of the Causal Architecture of PCOS
기간: Upon completion of data collection, approximately 2 months from study start
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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.
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Upon completion of data collection, approximately 2 months from study start
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Identification of Architectural Patterns Across PCOS Cohort
기간: Upon completion of data analysis, approximately 2 months from study start
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Identification and characterization of distinct architectural patterns across participant cohorts based on hormonal, metabolic, thyroid, lipid, and inflammatory marker profiles.
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Upon completion of data analysis, approximately 2 months from study start
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Assessment of Current Treatment Approaches Relative to Causal Architecture
기간: Upon completion of data analysis, approximately 2 months from study start
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Evaluation of the relationship between participants' current treatment approaches and the underlying causal architecture identified through computational reconstruction.
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Upon completion of data analysis, approximately 2 months from study start
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공동 작업자 및 조사자
스폰서
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- AG-PCOS-2026-001
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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