Do the results of semen analysis predict future fertility? a survival analysis study
Open accessAbstract
The authors examined the results of the initial semen analysis from 1089 couples in an infertility clinic. The distributions of the values for various semen variables among couples who remained infertile were very similar to those among couples who later conceived. A cutoff point was selected in each pair of distributions to compare the cumulative probability of conception for couples with higher and lower results. The authors took into account the varying times to conception or loss to follow-up by using life table analysis. No statistically significant differences were found at the P = 0.05 level of significance. Cox's univariate and multiple regression models were then used to investigate the relationship between various semen characteristics and future fertility. Finding no significant influence of any semen characteristic on the cumulative probability of conception, the authors believe that using specific values of the semen analysis to estimate the potential for fertility of infertile couples is not useful.
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Polansky and Lamb (1988) did not find any significant influence of any semen characteristic on the probability of a spontaneous conception in a cohort of 1089 infertile couples.
“Polansky and Lamb (1988) did not find any significant influence of any semen characteristic on the probability of a spontaneous conception in a cohort of 1089 infertile couples.”
From Total motile sperm count: a better indicator for the severity of male factor infertility than the WHO sperm classification system (2015) · cites this paper as Polansky and Lamb (1988)
Polansky and Lamb (1988) did not find any significant correlation between semen parameters and probability of conception.
“Polansky and Lamb (1988) did not find any significant correlation between semen parameters and probability of conception.”
From Total motile sperm count: a better indicator for the severity of male factor infertility than the WHO sperm classification system (2015) · cites this paper as Polansky and Lamb (1988)
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Hamilton, J. A. M., Cissen, M., Brandes, M., Smeenk, J. M. J., de Bruin, J. P., Kremer, J. A. M., Nelen, W. L. D. M., & Hamilton, C. J. C. M. (2015) · Human Reproduction · doi:10.1093/humrep/dev058 · Cited by 236 · see citing works
Dickey, R. P., Pyrzak, R., Lu, P. Y., Taylor, S. N., & Rye, P. H. (1999) · Fertility and Sterility · doi:10.1016/s0015-0282(98)00519-6 · Cited by 163 · see citing works
- Authors
- Polansky, F. F., & Lamb, E. J.
- Affiliations
- Stanford Medicine (US)
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 1988-06
- Volume
- 49
- Issue
- 6
- Pages
- 1059-1065
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W2399042748
- Cited by
- 131
- References
- 0
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 2 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 2 · 2012: 2
- FWCI
- 7.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Fertility and Sterility (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Sperm and Testicular Function
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
- Health Sciences › Health Professions › General Health Professions › Male Reproductive Health Studies
- Keywords
- semen analysis, male infertility, fertility prediction, semen parameters, infertile couples, time to conception, cut-off values
- MeSH terms
- Actuarial Analysis, Adult, Female, Fertility, Follow-Up Studies, Humans, Infertility, Male, Male, Pregnancy, Probability, Regression Analysis, Semen, Sperm Count, Sperm Motility
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