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Journal of Obstetrics and Gynaecology Volume 37, 2017 - Issue 1
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Original Article

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

Mahnaz Ashrafia Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran; ;b Department of Obstetrics and Gynaecology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran;
,
Mandana Hemata Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran; Correspondence[email protected]
,
Arezoo Arabipoora Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran;
,
Reza Salman Yazdic Department of Andrology, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran;
,
Akram Bahman-Abadia Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran;
&
Rezvaneh Cheraghid Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Centre, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
Pages 82-88 | Received 06 Sep 2015, Accepted 02 Aug 2016, Published online: 15 Dec 2016

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Dorothy Yuet Tao Ng, Jennifer Ka Yee Ko, Hang Wun Raymond Li, Estella Yee Lan Lau, William Shu Biu Yeung, Pak Chung Ho & Ernest Hung Yu Ng. (2022) Performance of ovarian response prediction index (ORPI) in predicting ovarian response and livebirth in the in-vitro fertilisation cycle using a standard stimulation with corifollitropin alpha in a GnRH antagonist protocol. Human Fertility 25:2, pages 377-383.
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Carla Peluso, Renato de Oliveira, Gabriel Zorello Laporta, Denise Maria Christofolini, Fernando Luiz Affonso Fonseca, Antonio Simone Laganà, Caio Parente Barbosa & Bianca Bianco. (2021) Are ovarian reserve tests reliable in predicting ovarian response? Results from a prospective, cross-sectional, single-center analysis . Gynecological Endocrinology 37:4, pages 358-366.
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M. Depmann, S. L. Broer, M. J. C. Eijkemans, I. A. J. van Rooij, G. J. Scheffer, J. Heimensem, B. W. Mol & F. J. M. Broekmans. (2017) Anti-Müllerian hormone does not predict time to pregnancy: results of a prospective cohort study. Gynecological Endocrinology 33:8, pages 644-648.
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Articles from other publishers (14)

Philippe Arvis, Catherine Rongières, Olivier Pirrello & Philippe Lehert. (2023) Predicting the ovarian response: towards a determinant model and implications for practice. Journal of Assisted Reproduction and Genetics 41:1, pages 213-222.
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Zhilan Chen, Wei Li, Shufang Ma, Yanmin Li, Liqun Lv, Kecheng Huang & Aidong Gong. (2023) Evaluative effectiveness of follicular output rate, ovarian sensitivity index, and ovarian response prediction index for the ovarian reserve and response of low-prognosis patients according to the POSEIDON criteria: a retrospective study. Zygote 31:6, pages 557-569.
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Maeliss Peigné, Valérie Bernard, Laura Dijols, Hélène Creux, Geoffroy Robin, Claude Hocké, Michaël Grynberg, Didier Dewailly & Charlotte Sonigo. (2023) Using serum anti-Müllerian hormone levels to predict the chance of live birth after spontaneous or assisted conception: a systematic review and meta-analysis. Human Reproduction 38:9, pages 1789-1806.
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Yang Liu, Zhengmei Pan, Yanzhi Wu, Jiamei Song & Jingsi Chen. (2023) Comparison of anti-Müllerian hormone and antral follicle count in the prediction of ovarian response: a systematic review and meta-analysis. Journal of Ovarian Research 16:1.
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桂珍 贺. (2023) Research Progress of Indicators for Evaluating Ovarian Responsiveness. Advances in Clinical Medicine 13:03, pages 3556-3561.
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Mihai Surcel, Bogdan Doroftei, Iulia Adina Neamtiu, Daniel Muresan, Gabriela Caracostea, Iulian Goidescu, Adelina Staicu, Georgiana Nemeti, Michael S. Bloom & Cristina Zlatescu-Marton. (2022) Impact of Follicle Stimulating Hormone Receptor (FSHR) Polymorphism on the Efficiency of Co-Treatment with Growth Hormone in a Group of Infertile Women from Romania. Diagnostics 12:10, pages 2371.
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Mona M. Aboulghar & Yomna Islam. 2022. Ovarian Stimulation. Ovarian Stimulation 265 281 .
MohammedM. Laqqan & MagedM. Yassin. (2022) Anti–Müllerian hormone and antral follicle count predict ovarian response in women less than 45 years following GnRH antagonist multiple–dose protocol. Asian Pacific Journal of Reproduction 11:5, pages 208.
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Shan-Jie Zhou, Ming-Jia ZhaoCui LiXing Su. (2020) The comparison of evaluative effectiveness between antral follicle count/age ratio and ovarian response prediction index for the ovarian reserve and response functions in infertile women. Medicine 99:36, pages e21979.
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Camila Bessow, Rafaela Donato, Tatiane de Souza, Rita Chapon, Vanessa Genro & João Sabino Cunha-Filho. (2019) Antral follicle responsiveness assessed by follicular output RaTe(FORT) correlates with follicles diameter. Journal of Ovarian Research 12:1.
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Valentina Grisendi, Elisa Mastellari & Antonio La Marca. (2019) Ovarian Reserve Markers to Identify Poor Responders in the Context of Poseidon Classification. Frontiers in Endocrinology 10.
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Joana Peñarrubia, Juan Antonio García-Velasco & Jose Landeras. (2019) Modelos predictivos en reproducción asistida: revisión sistemática y análisis crítico. Medicina Reproductiva y Embriología Clínica 6:2-3, pages 63-74.
Crossref
Mahnaz Ashrafi, Elham Amirchaghmaghi, Arezoo Arabipoor, Samira Vesali & Reza Salman-Yazdi. (2018) The effects of superovulation with gonadotropins on autoantibody levels in patients undergoing assisted reproductive cycles. Archives of Gynecology and Obstetrics 298:1, pages 183-189.
Crossref
Jiali Cai, Lanlan Liu, Juan Zheng, Ling Zhang, Xiaoming Jiang, Ping Li, Aiguo Sha & Jianzhi Ren. (2017) Differential response of AMH to GnRH agonist among individuals: the effect on ovarian stimulation outcomes. Journal of Assisted Reproduction and Genetics 35:3, pages 467-473.
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