Literature DB >> 8293843

The prediction of the chance to conceive in subfertile couples.

J M Eimers1, E R te Velde, R Gerritse, E T Vogelzang, C W Looman, J D Habbema.   

Abstract

OBJECTIVE: To develop a model that can predict the chance to conceive spontaneously in subfertile couples.
DESIGN: In a cohort study, a consecutive series of patients consulting infertility was followed up. We related information from previous history, physical examination, postcoital tests (PCT), semen analyses, and sperm penetration meter tests with the occurrence of a spontaneous pregnancy.
SETTING: Fertility center in a university hospital. PATIENTS: Nine hundred ninety-six couples consulting for infertility due to cervical hostility, male subfertility, or unexplained infertility.
INTERVENTIONS: None. MAIN OUTCOME MEASURE(S): Time between intake and occurrence of the first spontaneous pregnancy.
RESULTS: Information from the previous history (duration of infertility, primary or secondary female infertility, age of the woman, fertility problems in male's family), the percentage motile sperm in the first semen analysis, and the result of the first PCT are sufficient to predict the chance to conceive. A pocket chart is presented for easy use of the model.
CONCLUSIONS: With a limited amount of diagnostic information, the chance to conceive spontaneously can be predicted.

Entities:  

Mesh:

Year:  1994        PMID: 8293843     DOI: 10.1016/s0015-0282(16)56451-6

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


  9 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.  Natural procreative technology for infertility and recurrent miscarriage: outcomes in a Canadian family practice.

Authors:  Elizabeth Tham; Karen Schliep; Joseph Stanford
Journal:  Can Fam Physician       Date:  2012-05       Impact factor: 3.275

3.  Predictive models of pregnancy based on data from a preconception cohort study.

Authors:  Jennifer J Yland; Taiyao Wang; Zahra Zad; Sydney K Willis; Tanran R Wang; Amelia K Wesselink; Tammy Jiang; Elizabeth E Hatch; Lauren A Wise; Ioannis Ch Paschalidis
Journal:  Hum Reprod       Date:  2022-03-01       Impact factor: 6.918

4.  Predictive value of sperm motility characteristics assessed by computer-assisted sperm analysis in intrauterine insemination with superovulation in couples with unexplained infertility.

Authors:  Joung Sub Youn; Sun Hwa Cha; Chan Woo Park; Kwang Moon Yang; Jin Yeong Kim; Mi Kyoung Koong; Inn Soo Kang; In Ok Song; Sang Chul Han
Journal:  Clin Exp Reprod Med       Date:  2011-03-31

Review 5.  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

6.  A concise infertility work-up results in fewer pregnancies.

Authors:  J A M Hamilton; J W van der Steeg; C J C M Hamilton; J P de Bruin
Journal:  Hum Reprod Open       Date:  2021-08-20

Review 7.  Approaches to improve the diagnosis and management of infertility.

Authors:  P Devroey; B C J M Fauser; K Diedrich
Journal:  Hum Reprod Update       Date:  2009-04-20       Impact factor: 15.610

Review 8.  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

9.  The postcoital test in the development of new vaginal contraceptives†.

Authors:  Christine K Mauck; Kathleen L Vincent
Journal:  Biol Reprod       Date:  2020-08-04       Impact factor: 4.285

  9 in total

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