Literature DB >> 2245836

Fertility prognosis for infertile men: results of follow-up study of semen analysis in infertile men from two different populations evaluated by the Cox regression model.

E Bostofte1, P Bagger, A Michael, G Stakemann.   

Abstract

Using the Cox proportional hazard regression model on one material (group I = 765, 1950 to 1951) we have identified four variables of semen analysis with significant prognostic information about fertility. The four variables were combined into a model for establishing the probability of the individual male to achieve pregnancy as a function of time. This model is tested first on another material (group II = 321, 1977 to 1985). A Goodness-of-fit test indicates excellent agreement between the expectations from the model and the observed number of pregnancies in group II. Second, the two groups are pooled (= 1,086). Then only three variables give significant prognostic information about the time until pregnancy: (1) the man's age at semen analysis (years); (2) the percentage of morphologically normal spermatozoa (ln %); and (3) the degree of motility (good/poor). These three important variables enter into a new and better prognostic model.

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Year:  1990        PMID: 2245836     DOI: 10.1016/s0015-0282(16)54012-6

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


  12 in total

1.  Relationships between sperm motility characteristics assessed by the computer-aided sperm analysis (CASA) and fertilization rates in vitro.

Authors:  Y Hirano; H Shibahara; H Obara; T Suzuki; S Takamizawa; C Yamaguchi; H Tsunoda; I Sato
Journal:  J Assist Reprod Genet       Date:  2001-04       Impact factor: 3.412

2.  Analysis of recombinant human semenogelin as an inhibitor of human sperm motility.

Authors:  Anurag Mitra; Richard T Richardson; Michael G O'Rand
Journal:  Biol Reprod       Date:  2009-11-04       Impact factor: 4.285

3.  Accuracy of sperm velocity assessment using the Sperm Quality Analyzer V.

Authors:  Yuki Hirano; Hiroaki Shibahara; Kazuhiko Shimada; Seiji Yamanaka; Tatsuya Suzuki; Satoru Takamizawa; Mitsuhiro Motoyama; Mitsuaki Suzuki
Journal:  Reprod Med Biol       Date:  2004-01-29

4.  Comparative study of Sperm Motility Analysis System and conventional microscopic semen analysis.

Authors:  Kazuhiko Komori; Akira Tsujimura; Sumio Ishijima; Phanu Tanjapatkul; Kazutoshi Fujita; Yasuhiro Matsuoka; Tetsuya Takao; Yasushi Miyagawa; Shingo Takada; Akihiko Okuyama
Journal:  Reprod Med Biol       Date:  2006-08-09

5.  Risk of testicular cancer in men with abnormal semen characteristics: cohort study.

Authors:  R Jacobsen; E Bostofte; G Engholm; J Hansen; J H Olsen; N E Skakkebaek; H Moller
Journal:  BMJ       Date:  2000-09-30

Review 6.  Use of diagnostic testing to detect infertility.

Authors:  Kathleen Hwang; Larry I Lipshultz; Dolores J Lamb
Journal:  Curr Urol Rep       Date:  2011-02       Impact factor: 3.092

Review 7.  Contemporary concepts in the evaluation and management of male infertility.

Authors:  Kathleen Hwang; R Chanc Walters; Larry I Lipshultz
Journal:  Nat Rev Urol       Date:  2011-01-18       Impact factor: 14.432

8.  Factors Leading to Pregnancies in Stimulated Intrauterine Insemination Cycles and the Use of Consecutive Ejaculations Within a Small Clinic Environment.

Authors:  Gulam Bahadur; Ofran Almossawi; Afeeza IIlahibuccus; Ansam Al-Habib; Stanley Okolo
Journal:  J Obstet Gynaecol India       Date:  2016-05-20

9.  Diet-induced obesity in rats leads to a decrease in sperm motility.

Authors:  Carla D B Fernandez; Fernanda F Bellentani; Glaura S A Fernandes; Juliana E Perobelli; Ana Paula A Favareto; André F Nascimento; Antonio C Cicogna; Wilma D G Kempinas
Journal:  Reprod Biol Endocrinol       Date:  2011-03-11       Impact factor: 5.211

10.  Semen analysis and sperm function tests: How much to test?

Authors:  S S Vasan
Journal:  Indian J Urol       Date:  2011-01
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