Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Holte, T. Brodin, Lars Berglund, N. Hadziosmanovic, M. Olovsson, T. Bergh (2011)
Antral follicle counts are strongly associated with live-birth rates after assisted reproduction, with superior treatment outcome in women with polycystic ovaries.Fertility and sterility, 96 3
T. Brodin, T. Bergh, Lars Berglund, N. Hadziosmanovic, J. Holte (2008)
Menstrual cycle length is an age-independent marker of female fertility: results from 6271 treatment cycles of in vitro fertilization.Fertility and sterility, 90 5
(2011)
The construction and validation of a prediction model to minimize twin rates at preserved live birth rates in ART
A. Wallace, S. Faye, Richard Fleming, Scott Nelson (2011)
A multicentre evaluation of the new Beckman Coulter anti-Müllerian hormone immunoassay (AMH Gen II)Annals of Clinical Biochemistry, 48
R. Fanchin, L. Schonäuer, C. Righini, J. Guibourdenche, R. Frydman, J. Taieb (2003)
Serum anti-Müllerian hormone is more strongly related to ovarian follicular status than serum inhibin B, estradiol, FSH and LH on day 3.Human reproduction, 18 2
K. Hansen, G. Hodnett, N. Knowlton, L. Craig (2011)
Correlation of ovarian reserve tests with histologically determined primordial follicle number.Fertility and sterility, 95 1
T. Brodin, N. Hadziosmanovic, Lars Berglund, M. Olovsson, J. Holte (2013)
Antimüllerian hormone levels are strongly associated with live-birth rates after assisted reproduction.The Journal of clinical endocrinology and metabolism, 98 3
L. Gianaroli, M. Magli, A. Ferraretti, D. Fortini, C. Tabanelli, M. Gergolet (2000)
Gonadal activity and chromosomal constitution of in vitro generated embryosMolecular and Cellular Endocrinology, 161
V. Biasoni, A. Patriarca, P. Dalmasso, A. Bertagna, C. Manieri, C. Benedetto, A. Revelli (2011)
Ovarian sensitivity index is strongly related to circulating AMH and may be used to predict ovarian response to exogenous gonadotropins in IVFReproductive Biology and Endocrinology : RB&E, 9
F. Broekmans, J. Kwee, D. Hendriks, B. Mol, C. Lambalk (2006)
A systematic review of tests predicting ovarian reserve and IVF outcome.Human reproduction update, 12 6
A. Weghofer, W. Feichtinger (2006)
The forgotten variable: impact of luteinizing hormone on the prediction of ovarian reserve.Fertility and sterility, 85 1
S. Broer, B. Mol, D. Hendriks, F. Broekmans (2009)
The role of antimullerian hormone in prediction of outcome after IVF: comparison with the antral follicle count.Fertility and sterility, 91 3
S. Broer, M. Dólleman, B. Opmeer, B. Fauser, B. Mol, F. Broekmans (2011)
AMH and AFC as predictors of excessive response in controlled ovarian hyperstimulation: a meta-analysis.Human reproduction update, 17 1
J. Smeenk, D. Braat, A. Stolwijk, J. Kremer, Mol Bwj, Coppus Sf, F. Veen, Bossuyt Evaluating, J. Steeg, P. Steures, M. Eijkemans, J. Dik, F. Habbema, P. Hompes, F. Broekmans, T. Dessel, P. Bossuyt, F. Veen, B. Mol (2007)
Pregnancy is predictable: a large-scale prospective external validation of the prediction of spontaneous pregnancy in subfertile couples.Human reproduction, 22 2
S. Broer, F. Broekmans, J. Laven, B. Fauser (2014)
Anti-Müllerian hormone: ovarian reserve testing and its potential clinical implications.Human reproduction update, 20 5
Annemarie Vet, J. Laven, F. Jong, A. Themmen, B. Fauser (2002)
Antimüllerian hormone serum levels: a putative marker for ovarian aging.Fertility and sterility, 77 2
M. Reuss, Jennie Kline, R. Santos, Bruce Levin, Ilan Timor-Tritsch (1996)
Age and the ovarian follicle pool assessed with transvaginal ultrasonography.American journal of obstetrics and gynecology, 174 2
S. Sunkara, V. Rittenberg, N. Raine-Fenning, S. Bhattacharya, J. Zamora, A. Coomarasamy (2011)
Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles.Human reproduction, 26 7
S. Broer, J. Disseldorp, K. Broeze, M. Dólleman, B. Opmeer, P. Bossuyt, M. Eijkemans, B. Mol, F. Broekmans (2013)
Added value of ovarian reserve testing on patient characteristics in the prediction of ovarian response and ongoing pregnancy: an individual patient data approach.Human reproduction update, 19 1
T. Brodin, T. Bergh, Lars Berglund, N. Hadziosmanovic, J. Holte (2009)
High basal LH levels in combination with low basal FSH levels are associated with high success rates at assisted reproduction.Human reproduction, 24 11
A. Marca, Gaspare Stabile, A. Artenisio, A. Volpe, A. Volpe (2006)
Serum anti-Mullerian hormone throughout the human menstrual cycle.Human reproduction, 21 12
J. Laven, A. Mulders, J. Visser, A. Themmen, F. Jong, B. Fauser (2004)
Anti-Müllerian hormone serum concentrations in normoovulatory and anovulatory women of reproductive age.The Journal of clinical endocrinology and metabolism, 89 1
T. Verhagen, D. Hendriks, L. Bancsi, B. Mol, F. Broekmans (2008)
The accuracy of multivariate models predicting ovarian reserve and pregnancy after in vitro fertilization: a meta-analysis.Human reproduction update, 14 2
M. Rosen, E. Johnstone, C. McCulloch, Sonya Schuh-Huerta, B. Sternfeld, R. Reijo-Pera, M. Cedars (2012)
A characterization of the relationship of ovarian reserve markers with age.Fertility and sterility, 97 1
M. Huber, N. Hadziosmanovic, Lars Berglund, J. Holte (2013)
Using the ovarian sensitivity index to define poor, normal, and high response after controlled ovarian hyperstimulation in the long gonadotropin-releasing hormone-agonist protocol: suggestions for a new principle to solve an old problem.Fertility and sterility, 100 5
S. Broer, M. Dólleman, J. Disseldorp, K. Broeze, B. Opmeer, P. Bossuyt, M. Eijkemans, B. Mol, F. Broekmans (2013)
Prediction of an excessive response in in vitro fertilization from patient characteristics and ovarian reserve tests and comparison in subgroups: an individual patient data meta-analysis.Fertility and sterility, 100 2
O. Rustamov, P. Pemberton, S. Roberts, Alexander Smith, A. Yates, S. Patchava, L. Nardo (2011)
The reproducibility of serum anti-Müllerian hormone in subfertile women: within and between patient variability.Fertility and sterility, 95 3
S. Broer, B. Mol, M. Dólleman, B. Fauser, F. Broekmans (2010)
The role of anti-Müllerian hormone assessment in assisted reproductive technology outcomeCurrent Opinion in Obstetrics and Gynecology, 22
S. Nelson, R. Yates, R. Fleming (2007)
Serum anti-Müllerian hormone and FSH: prediction of live birth and extremes of response in stimulated cycles--implications for individualization of therapy.Human reproduction, 22 9
H. Li, V. Lee, P. Ho, E. Ng (2014)
Ovarian sensitivity index is a better measure of ovarian responsiveness to gonadotrophin stimulation than the number of oocytes during in-vitro fertilization treatmentJournal of Assisted Reproduction and Genetics, 31
I.A.J. Rooij, F. Broekmans, E. Velde, B. Fauser, L. Bancsi, F. Jong, A. Themmen (2002)
Serum anti-Müllerian hormone levels: a novel measure of ovarian reserve.Human reproduction, 17 12
O. Rustamov, Alexander Smith, S. Roberts, A. Yates, C. Fitzgerald, M. Krishnan, L. Nardo, P. Pemberton (2012)
Anti-Mullerian hormone: poor assay reproducibility in a large cohort of subjects suggests sample instability.Human reproduction, 27 10
D. Hendriks, B. Mol, L. Bancsi, E. Velde, F. Broekmans (2005)
Antral follicle count in the prediction of poor ovarian response and pregnancy after in vitro fertilization: a meta-analysis and comparison with basal follicle-stimulating hormone level.Fertility and sterility, 83 2
S. Iliodromiti, T. Kelsey, O. Wu, R. Anderson, S. Nelson (2014)
The predictive accuracy of anti-Müllerian hormone for live birth after assisted conception: a systematic review and meta-analysis of the literature.Human reproduction update, 20 4
R. Scott, J. Toner, S. Muasher, S. Oehninger, S. Robinson, Z. Rosenwaks (1989)
Follicle-stimulating hormone levels on cycle day 3 are predictive of in vitro fertilization outcome.Fertility and sterility, 51 4
Introduction We compared the ability of four different ovarian reserve tests (ORTs) to predict live births per started in vitro fertilization–intracytoplasmic sperm injection (IVF‐ICSI) cycle, and poor and excessive response to controlled ovarian hyperstimulation. Material and methods This was a cohort study in a private infertility center in collaboration with Uppsala University, comprising 1230 IVF‐ICSI cycles in 892 consecutive women between April 2008 and June 2011. Anti‐Müllerian hormone (AMH) levels, antral follicle counts (AFC), combinations of basal levels of follicle‐stimulating hormone and luteinizing hormone, and menstrual cycle lengths were analyzed for correlation and treatment outcome prediction in age‐adjusted statistical models. Stepwise multivariable generalized estimating equation analyses were carried out in a sub‐group with complete data on all four ORTs (620 cycles in 443 women). Odds ratios and c‐statistics were calculated in the largest available set of data for each significant variable. Primary outcomes were live birth rate per started cycle and poor and excessive ovarian response to controlled ovarian hyper‐stimulation (defined by the ovarian sensitivity index). Results All ORTs correlated significantly with each other, with the strongest correlation between AFC and AMH (r = 0.71, p < 0.0001). Univariately, AMH and age equivalently predicted live birth (c‐statistic 0.61), and together they provided a significantly better model (c‐statistic 0.64). For prediction of poor and excessive response the best model included AMH, AFC and age (c‐statistic 0.89). Conclusions AMH improves the ability to estimate live birth rates after assisted reproduction compared with female age alone. AMH, AFC and age together constituted the best model for prediction of ovarian response.
Acta Obstetricia Et Gynecologica Scandinavica – Wiley
Published: Oct 1, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.