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The purpose of this research is to develop a predictive nomogram for primary ovarian insufficiency.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Primary Ovarian insufficiency group |
| ||
| The normal group |
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| Measure | Description | Time Frame |
|---|---|---|
| Draw the Primary Ovarian insufficiency normogram | 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) . | 1years |
| Measure | Description | Time Frame |
|---|---|---|
| Verify and evaluate the evaluation of Primary Ovarian insufficiency normogram | 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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Inclusion Criteria:
Exclusion Criteria:
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The study population will be recruted from gynaecology department clinic of GuangDong provincial hospital of Chinese Medicine and web advertisement from April 2016 and December 2018.
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| Name | Affiliation | Role |
|---|---|---|
| hongyan Yang, professor | Guangzhou University of Traditional Chinese Medicine | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Guangdong provicial hospital of Chinese Medicine | Guangzhou | Guangdong | 510000 | China |
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| ID | Term |
|---|---|
| D016649 | Primary Ovarian Insufficiency |
| ID | Term |
|---|---|
| D010049 | Ovarian Diseases |
| D000291 | Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
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Whole blood to be retained
| 2years |
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |
| D006058 | Gonadal Disorders |
| D004700 | Endocrine System Diseases |