Development a Predictive Nomogram for Primary Ovarian Insufficiency

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

Study Overview

Status

Unknown

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

Observational

Enrollment (Anticipated)

260

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Guangdong
      • GuangZhou, Guangdong, China, 510000
        • Guangdong provicial hospital of Chinese Medicine

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 42 years (ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

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.

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Primary Ovarian insufficiency group
  1. amenorrhea one year or more than one year
  2. amenorrhea more than 4 months and FSH≥40IU/L
  3. ≤42 years old and AMH≤0.071
The normal group
  1. normal regular menorrhea
  2. ≤42 years old
  3. normal FSH and AMH level

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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) .
1years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
2years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

October 1, 2016

Primary Completion (ANTICIPATED)

May 1, 2018

Study Completion (ANTICIPATED)

July 1, 2018

Study Registration Dates

First Submitted

March 19, 2016

First Submitted That Met QC Criteria

June 8, 2016

First Posted (ESTIMATE)

June 9, 2016

Study Record Updates

Last Update Posted (ACTUAL)

April 10, 2018

Last Update Submitted That Met QC Criteria

April 9, 2018

Last Verified

June 1, 2016

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Primary Ovarian Insufficiency

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