Making IVF more effective through the evolution of prediction models: is prognosis the missing piece of the puzzle?-Reference-Cited by-同舟云学术

Making IVF more effective through the evolution of prediction models: is prognosis the missing piece of the puzzle?

Published:2018-08-08 Issue:5 Volume:64 Page:305-323
ISSN:1939-6368
Container-title:Systems Biology in Reproductive Medicine
language:en
Short-container-title:Systems Biology in Reproductive Medicine

Author:

Simopoulou Mara¹²,Sfakianoudis Konstantinos³,Antoniou Nikolaos¹,Maziotis Evangelos¹,Rapani Anna¹,Bakas Panagiotis²,Anifandis George⁴,Kalampokas Theodoros²,Bolaris Stamatis⁵,Pantou Agni³,Pantos Konstantinos³,Koutsilieris Michael¹

Affiliation:

1. Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece

2. Assisted Conception Unit, 2nd Department of Obstetrics and Gynecology, Aretaieion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece

3. Department of Assisted Conception, Human Reproduction Genesis Athens Clinic, Athens, Greece

4. Department of Histology and Embryology, Faculty of Medicine, University of Thessaly, Larissa, Greece

5. Department fo Obsterics and Gynaecology, Assisted Conception Unit, General-Maternity District Hospital “Elena Venizelou”, Athens, Greece

Publisher

Informa UK Limited

Subject

Urology,Reproductive Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/19396368.2018.1504347

Reference83 articles.

1. The IVF Outcome Counseling Based on the Model Combining DHEAS and Age in Patients with Low AMH Prior to the First Cycle of GnRH Antagonist Protocol of Ovarian Stimulation

2. A randomized controlled trial investigating the use of a predictive nomogram for the selection of the FSH starting dose in IVF/ICSI cycles

3. Effect of the Position of the Polar Body During ICSI on Fertilization Rate and Embryo Development

4. Simple adaptations to the Templeton model for IVF outcome prediction make it current and clinically useful

5. Predictive factors of early moderate/severe ovarian hyperstimulation syndrome in non-polycystic ovarian syndrome patients: a statistical model

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