Literature DB >> 2910705

Prediction of outcome in human in vitro fertilization based on follicular and stimulation response variables.

P L Nayudu1, D A Gook, G Hepworth, A Lopata, W I Johnston.   

Abstract

Since in vitro fertilization (IVF) pregnancy rates have reached a plateau in recent years, there is need for a system of assessment, which could provide a guide for improvements. The follicular characteristics, the response to stimulation, the quality of sperm used for insemination, and the embryonic human chorionic gonadotropin production of 222 women who had undergone routine IVF treatment have been analyzed. Models, predictive of IVF outcome, have been developed using these parameters in various combinations. The results have shown that follicular health and maturity are critical to IVF outcome and that certain patterns of response to ovarian stimulation are associated with the more frequent occurrence of oocytes capable of normal embryonic development after fertilization.

Entities:  

Mesh:

Year:  1989        PMID: 2910705     DOI: 10.1016/s0015-0282(16)60439-9

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  4 in total

1.  Hormone release from cultured luteinized-granulosa cells mimics differences seen in vivo in patients undergoing IVF-ET.

Authors:  S D Prien; M S Canez; R H Messer
Journal:  J Assist Reprod Genet       Date:  1995-03       Impact factor: 3.412

2.  Basal serum pituitary hormone levels and outcome of in vitro fertilization utilizing a flare nasal gonadotropin releasing hormone agonist and fixed low-dose follicle-stimulating hormone/human menopausal gonadotropin regimen.

Authors:  Y F Chan; P C Ho; W W So; W S Yeung
Journal:  J Assist Reprod Genet       Date:  1993-05       Impact factor: 3.412

Review 3.  Prediction models in in vitro fertilization; where are we? A mini review.

Authors:  Laura van Loendersloot; S Repping; P M M Bossuyt; F van der Veen; M van Wely
Journal:  J Adv Res       Date:  2013-05-09       Impact factor: 10.479

Review 4.  Models Predicting Success of Infertility Treatment: A Systematic Review.

Authors:  Alireza Zarinara; Hojjat Zeraati; Koorosh Kamali; Kazem Mohammad; Parisa Shahnazari; Mohammad Mehdi Akhondi
Journal:  J Reprod Infertil       Date:  2016 Apr-Jun
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.