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Completed No phase listed Observational

Assisted Reproductive Technology (ART) Predictors Study

ClinicalTrials.gov ID: NCT00988611

Public ClinicalTrials.gov record NCT00988611. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

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Official title

Novel Predictors of ART Outcomes

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

The goals of this research proposal are to further our understanding of the reproductive aging process in women and to improve our ability to clinically assess and model reproductive aging. Reproductive aging is a continuous process that begins many years prior to menopause. Women in their late 30s and early 40s usually maintain normal menstrual function and ovulatory status, yet fertility in these women is considerably compromised compared to younger women. The primary mechanism of reproductive aging is through the process of ovarian primordial follicle (egg) depletion, a process that exhibits considerable variation between women. As a result, the age at which an individual begins to experience infertility and menstrual cycle changes secondary to follicle depletion also varies significantly and is difficult to predict. The clinical assessment of the number of primordial follicles remaining in the ovary has traditionally relied upon the measurement of ovarian or pituitary hormones such as FSH, estradiol, and inhibin B. Unfortunately, these measures are all indirect and poorly sensitive in the assessment of ovarian reserve. More recently, serum levels of anti-Müllerian hormone (AMH) and the ovarian antral follicle count have been utilized as clinical measures of ovarian reserve. Both have been correlated with chronological age and have some predictive power in determining stimulation quantity (the number of oocytes obtained at the time of egg-recovery) in in-vitro fertilization (IVF) treatment cycles. Reproductive aging in women; however, is more than just the depletion of oocytes from a woman's ovaries, but also involves a decline in oocyte quality. The predictive value of these clinical markers of ovarian reserve with regards to oocyte quality is unknown. Additionally, new tools developed to assess biological aging in other organ systems such as white blood cell telomere length and the measurement of advanced glycation end products (AGEs) through skin autofluorescence have not been evaluated with respect to the reproductive aging process. This proposal seeks to develop better models of normal female reproductive aging by identifying novel markers of ovarian reserve and determining their relationship with both oocyte quantity and quality obtained during IVF treatment cycles.

Study identification

NCT ID
NCT00988611
Recruitment status
Completed
Study type
Observational
Phase
Not listed
Lead sponsor
University of Oklahoma
Other
Enrollment
138 participants

Conditions and interventions

Eligibility (public fields only)

Age range
18 Years to 44 Years
Sex
Female
Healthy volunteers
Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Aug 31, 2009
Primary completion
Nov 30, 2016
Completion
Nov 30, 2016
Last update posted
Mar 19, 2017

2009 – 2016

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
University of Oklahoma Health Sciences Center Oklahoma City Oklahoma 73103

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT00988611, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Mar 19, 2017 · Synced Sep 10, 2026

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