Clinical Trial: Development a Predictive Nomogram for Primary Ovarian Insufficiency

Study Status: Not yet recruiting
Recruit Status: Not yet recruiting
Study Type: Observational

Official Title: Development a Predictive Nomogram for Primary Ovarian Insufficiency

Brief Summary: The purpose of this research is to develop a predictive nomogram for primary ovarian insufficiency.

Detailed Summary:

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.


Sponsor: Guangzhou University of Traditional Chinese Medicine

Current Primary Outcome: Draw the Primary Ovarian insufficiency normogram [ Time Frame: 1years ]

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) .


Original Primary Outcome: Same as current

Current Secondary Outcome: Verify and evaluate the evaluation of Primary Ovarian insufficiency normogram [ Time Frame: 2years ]

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


Original Secondary Outcome: Same as current

Information By: Guangzhou University of Traditional Chinese Medicine

Dates:
Date Received: March 19, 2016
Date Started: June 2016
Date Completion: December 2018
Last Updated: June 8, 2016
Last Verified: June 2016