Predictive values of anti-müllerian hormone, antral follicle count and ovarian response prediction index (ORPI) for assisted reproductive technology outcomes-Reference-Cited by-同舟云学术

Predictive values of anti-müllerian hormone, antral follicle count and ovarian response prediction index (ORPI) for assisted reproductive technology outcomes

Published:2016-12-15 Issue:1 Volume:37 Page:82-88
ISSN:0144-3615
Container-title:Journal of Obstetrics and Gynaecology
language:en
Short-container-title:Journal of Obstetrics and Gynaecology

Author:

Ashrafi Mahnaz¹²,Hemat Mandana¹,Arabipoor Arezoo¹,Salman Yazdi Reza³,Bahman-Abadi Akram¹,Cheraghi Rezvaneh⁴

Affiliation:

1. Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran;

2. Department of Obstetrics and Gynaecology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran;

3. Department of Andrology, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran;

4. Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran

Publisher

Informa UK Limited

Subject

Obstetrics and Gynecology

Link

https://www.tandfonline.com/doi/pdf/10.1080/01443615.2016.1225025

Reference42 articles.

1. Prediction of high ovarian response to controlled ovarian hyperstimulation: anti-Müllerian hormone versus small antral follicle count (2–6 mm)

2. Antimüllerian hormone in gonadotropin releasing-hormone antagonist cycles: prediction of ovarian response and cumulative treatment outcome in good-prognosis patients

3. AMH and AFC as predictors of excessive response in controlled ovarian hyperstimulation: a meta-analysis

4. The role of antimullerian hormone in prediction of outcome after IVF: comparison with the antral follicle count

5. Added value of ovarian reserve testing on patient characteristics in the prediction of ovarian response and ongoing pregnancy: an individual patient data approach

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