- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02795000
Development a Predictive Nomogram for Primary Ovarian Insufficiency
Study Overview
Status
Conditions
Detailed Description
Many researches show primary ovarian insufficiency(POI) etiology is related with gene,immunization,iatrogenic, infection factors and social factors etc. In fact, approximate 70-90% POI have no definite cause, so a lot of patients don't know what will happen when they in occult stage of POI. In this research, researchers will investigate all possible factors in POI patients and normal women and select the valuable risk factor by integrated by statistical method to establish the reasonable predictive model.
This study consists two stages.The fist stage is the model establishment, the second stage is the certificate and evaluate the model.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Guangdong
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GuangZhou, Guangdong, China, 510000
- Guangdong provicial hospital of Chinese Medicine
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age18--42
- Definite spontaneous last menstrual period
- Informed consent for participating this research and could answer the questionnaires faithfully.
Exclusion Criteria:
- Congenital gonadal dysgenesis and non organic diseases lead to menstrual disorders.
- Endocrine diseases such Polycystic ovary syndrome, hyperprolactinemia, dysfunctional uterine bleeding, low gonadotropin menstrual disorders and hyperthyreosis
- Reproductive toxicity of drugs used
- Release of chemotherapeutic drugs
- Accept sex hormone medicine in recent 3 months
- Pregnant and lactating women
- With serious heart, liver, kidney and other diseases
- With severe psychiatric disorders
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Primary Ovarian insufficiency group
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The normal group
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Draw the Primary Ovarian insufficiency normogram
Time Frame: 1years
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Retrospective Investigation on inclusion criteria populations through multivariate cox proportional hazards regression analysis of independent risk factors can enter the predictive model using R software based on regression coefficient related variables draw the corresponding nomogram (nomogram) .
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1years
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Verify and evaluate the evaluation of Primary Ovarian insufficiency normogram
Time Frame: 2years
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using the bootstrap method nomogram for internal verification to reduce overfitting bias, the evaluation of the model to predict the risk of premature menopause conformity.
In the study population data, select postmenopausal cases, the use of prediction of survival analysis model initial assessment model; select Not menopause an independent risk factor for the population were followed ovarian anti-Mullerian hormone (AMH) decreased the extent of menopause Age as a standard curve prediction, evaluation nomogram model predictive accuracy and clinical value of premature menopause, and finally provide the first Chinese people have the physical characteristics of premature menopause prediction model
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2years
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2014KT1165
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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