Literature DB >> 17176280

Ovarian reserve tests for predicting fertility outcomes for assisted reproductive technology: the International Systematic Collaboration of Ovarian Reserve Evaluation protocol for a systematic review of ovarian reserve test accuracy.

N P Johnson1, E M Bagrie, A Coomarasamy, S Bhattacharya, A N Shelling, S Jessop, C Farquhar, K S Khan.   

Abstract

BACKGROUND: The presence of a wide range of tests of ovarian reserve suggests that no single test provides a sufficiently accurate result. Many tests are used without reference to an evidence base. So far, individual studies conducted on these tests are too small to give precise estimates of prognostic accuracy.
OBJECTIVES: To systematically assess the accuracy of the available tests of ovarian reserve in terms of prediction of fertility outcomes. SEARCH STRATEGY: The search will be conducted using the name of the respective index test being studied (as listed on the MESH database), if more than 2000 citations are listed, 'ovary' and or 'ovarian', 'fertility' and or 'reserve' will be combined with the original search term as required. Studies of the accuracy of tests of ovarian reserve will be obtained without language restrictions from 1980 to 2005 using the following electronic databases and Ovid software: MEDLINE, EMBASE, PUBmed, Biological extracts, Pascal, Cochrane Library (CDSR, DARE, CCTR, HTA), Best Evidence databases, SCISEARCH, Conference Proceedings (ISI Proceedings, Healthstar, Current Contents, Science Citation Index, Cancerlit and Econlit and NHS Economic Evaluation database. The National Research Register, the Medical Research Council's Clinical Trials Register, MEDION, DARE, and the US Clinical Trials register. SELECTION CRITERIA: Studies will be selected if accuracy of tests are compared with a reference standard and include data that can be abstracted into a two-by-two table to calculate sensitivity and specificity. The studies to be included in this review will examine one of the following index 'tests' within a study population of women undergoing assisted reproductive technology: * Clinical variables--age, history of cancelled cycles. * Basal blood tests--follicle-stimulating hormone (FSH), lutenising hormone (LH), FSH:LH ratios, estradiol (E(2)), inhibin A and B, progesterone (P(4)), P(4):E(2) ratios, antimullerian hormone, testosterone, vascular endothelial growth factor, insulin-like growth factor-1:insulin-like growth factor binding protein-1 ratios. * Dynamic tests--clomiphene citrate challenge test, gonadotropin analogue stimulating test, exogenous FSH ovarian reserve test. * Ultrasound tests-antral follicle count, ovarian volume, ovarian stromal peak systolic velocity, including waveform and pulsatility index, ovarian follicular vascularity. * Histology--ovarian biopsy. Data collection and analysis Two independent reviewers will perform quality assessment and data extraction. Prognostic accuracy will be determined by calculating positive and negative likelihood ratios for the following outcomes or reference standards: live birth, ongoing pregnancy, clinical pregnancy, biochemical pregnancy, embryos available for transfer, eggs obtained at oocyte retrieval, cycles cancelled prior to oocyte retrieval. Main results and conclusions N/A.

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Year:  2006        PMID: 17176280     DOI: 10.1111/j.1471-0528.2006.01068.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  9 in total

Review 1.  What is the best treatment option for infertile women aged 40 and over?

Authors:  Sarah Armstrong; Valentine Akande
Journal:  J Assist Reprod Genet       Date:  2013-03-29       Impact factor: 3.412

2.  Evaluation of antral follicle growth in the macaque ovary during the menstrual cycle and controlled ovarian stimulation by high-resolution ultrasonography.

Authors:  Cecily V Bishop; Michelle L Sparman; Jessica E Stanley; Alistair Bahar; Mary B Zelinski; Richard L Stouffer
Journal:  Am J Primatol       Date:  2009-05       Impact factor: 2.371

3.  Prediction of Poor Ovarian response by Biochemical and Biophysical Markers: A Logistic Regression Model.

Authors:  S P Jaiswar; S M Natu; P L Sankhwar; Gupta Manjari
Journal:  J Obstet Gynaecol India       Date:  2014-12-25

4.  Imputation techniques on missing values in breast cancer treatment and fertility data.

Authors:  Xuetong Wu; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Zobaida Edib; Michelle Peate
Journal:  Health Inf Sci Syst       Date:  2019-10-03

5.  Menstrual cycle length: a surrogate measure of reproductive health capable of improving the accuracy of biochemical/sonographical ovarian reserve test in estimating the reproductive chances of women referred to ART.

Authors:  Salvatore Gizzo; Alessandra Andrisani; Marco Noventa; Michela Quaranta; Federica Esposito; Decio Armanini; Michele Gangemi; Giovanni B Nardelli; Pietro Litta; Donato D'Antona; Guido Ambrosini
Journal:  Reprod Biol Endocrinol       Date:  2015-04-10       Impact factor: 5.211

6.  Impact of COVID-19 on female fertility: a systematic review and meta-analysis protocol.

Authors:  Fangyuan Li; Hua Lu; Qi Zhang; Xinyun Li; Tong Wang; Qianchen Liu; Qian Yang; Lingxia Qiang
Journal:  BMJ Open       Date:  2021-02-25       Impact factor: 2.692

7.  Does measuring early basal serum follicular luteinising [correction of lutinising] hormone assist in predicting in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) outcome?

Authors:  Ahmed Kassab; Luca Sabatini; Gidon Lieberman; Amanda Tozer; Ariel Zosmer; Colin Davis; Talha Al-Shawaf
Journal:  Reprod Biol Endocrinol       Date:  2007-07-20       Impact factor: 5.211

8.  Recurrent implantation failure is more frequently seen in female patients with poor prognosis.

Authors:  Pelin Ocal; Tayfur Cift; Berk Bulut; Eray Balcan; Ismail Cepni; Begum Aydogan; Tulay Irez
Journal:  Int J Fertil Steril       Date:  2012-06-19

9.  ABO blood type is associated with ovarian reserve in Chinese women with subfertility.

Authors:  Liangshan Mu; Wumin Jin; Haiyan Yang; Xia Chen; Jiexue Pan; Jia Lin; Peiyu Wang; Xuefeng Huang
Journal:  Oncotarget       Date:  2016-08-09
  9 in total

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