» Articles » PMID: 16891297

A Systematic Review of Tests Predicting Ovarian Reserve and IVF Outcome

Overview
Date 2006 Aug 8
PMID 16891297
Citations 290
Authors
Affiliations
Soon will be listed here.
Abstract

The age-related decline of the success in IVF is largely attributable to a progressive decline of ovarian oocyte quality and quantity. Over the past two decades, a number of so-called ovarian reserve tests (ORTs) have been designed to determine oocyte reserve and quality and have been evaluated for their ability to predict the outcome of IVF in terms of oocyte yield and occurrence of pregnancy. Many of these tests have become part of the routine diagnostic procedure for infertility patients who undergo assisted reproductive techniques. The unifying goals are traditionally to find out how a patient will respond to stimulation and what are their chances of pregnancy. Evidence-based medicine has progressively developed as the standard approach for many diagnostic procedures and treatment options in the field of reproductive medicine. We here provide the first comprehensive systematic literature review, including an a priori protocolized information retrieval on all currently available and applied tests, namely early-follicular-phase blood values of FSH, estradiol, inhibin B and anti-Müllerian hormone (AMH), the antral follicle count (AFC), the ovarian volume (OVVOL) and the ovarian blood flow, and furthermore the Clomiphene Citrate Challenge Test (CCCT), the exogenous FSH ORT (EFORT) and the gonadotrophin agonist stimulation test (GAST), all as measures to predict ovarian response and chance of pregnancy. We provide, where possible, an integrated receiver operating characteristic (ROC) analysis and curve of all individual evaluated published papers of each test, as well as a formal judgement upon the clinical value. Our analysis shows that the ORTs known to date have only modest-to-poor predictive properties and are therefore far from suitable for relevant clinical use. Accuracy of testing for the occurrence of poor ovarian response to hyperstimulation appears to be modest. Whether the a priori identification of actual poor responders in the first IVF cycle has any prognostic value for their chances of conception in the course of a series of IVF cycles remains to be established. The accuracy of predicting the occurrence of pregnancy is very limited. If a high threshold is used, to prevent couples from wrongly being refused IVF, a very small minority of IVF-indicated cases (approximately 3%) are identified as having unfavourable prospects in an IVF treatment cycle. Although mostly inexpensive and not very demanding, the use of any ORT for outcome prediction cannot be supported. As poor ovarian response will provide some information on OR status, especially if the stimulation is maximal, entering the first cycle of IVF without any prior testing seems to be the preferable strategy.

Citing Articles

Female reproductive health trends and autism spectrum disorder prevalence between 2000 and 2024.

Al-Salihy A Sci Rep. 2025; 15(1):8507.

PMID: 40075145 PMC: 11904183. DOI: 10.1038/s41598-025-89979-x.


Assessing vitamin D's impact on pregnancy success: a predictive model for assisted reproductive technology outcomes.

Jiang S, Chen Z, Li L Front Reprod Health. 2025; 7:1510484.

PMID: 40040781 PMC: 11876408. DOI: 10.3389/frph.2025.1510484.


Ovarian sensitivity index affects clinical pregnancy and live birth rates in gonadotropin-releasing hormone agonist and antagonist fertilization cycles.

Hsu C, Hsu I, Dorjee S, Chen Y, Chen T, Chuang Y Front Endocrinol (Lausanne). 2024; 15:1457435.

PMID: 39735649 PMC: 11671251. DOI: 10.3389/fendo.2024.1457435.


The best ovarian reserve marker to predict ovarian response following controlled ovarian hyperstimulation: a systematic review and meta-analysis.

Salemi F, Jambarsang S, Kheirkhah A, Salehi-Abargouei A, Ahmadnia Z, Hosseini H Syst Rev. 2024; 13(1):303.

PMID: 39695880 PMC: 11657140. DOI: 10.1186/s13643-024-02684-0.


NSAID exposure delays time-to-pregnancy in patients with spondyloarthritis: an analysis of the GR2 prospective cohort.

Hamroun S, Couderc M, Flipo R, Sellam J, Richez C, Dernis E RMD Open. 2024; 10(4).

PMID: 39615886 PMC: 11624830. DOI: 10.1136/rmdopen-2024-004745.