Reducing Inter-Laboratory Differences between Semen Analyses Using Z Score and Regression Transformations
Publication year
2016Source
International Journal of Fertility & Sterility, 9, 4, (2016), pp. 534-40ISSN
Related links
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
Gynaecology
Journal title
International Journal of Fertility & Sterility
Volume
vol. 9
Issue
iss. 4
Page start
p. 534
Page end
p. 40
Subject
Radboudumc 17: Women's cancers RIHS: Radboud Institute for Health SciencesAbstract
BACKGROUND: Standardization of the semen analysis may improve reproducibility. We assessed variability between laboratories in semen analyses and evaluated whether a transformation using Z scores and regression statistics was able to reduce this variability. MATERIALS AND METHODS: We performed a retrospective cohort study. We calculated between-laboratory coefficients of variation (CVB) for sperm concentration and for morphology. Subsequently, we standardized the semen analysis results by calculating laboratory specific Z scores, and by using regression. We used analysis of variance for four semen parameters to assess systematic differences between laboratories before and after the transformations, both in the circulation samples and in the samples obtained in the prospective cohort study in the Netherlands between January 2002 and February 2004. RESULTS: The mean CVBwas 7% for sperm concentration (range 3 to 13%) and 32% for sperm morphology (range 18 to 51%). The differences between the laboratories were statistically significant for all semen parameters (all P<0.001). Standardization using Z scores did not reduce the differences in semen analysis results between the laboratories (all P<0.001). CONCLUSION: There exists large between-laboratory variability for sperm morphology and small, but statistically significant, between-laboratory variation for sperm concentration. Standardization using Z scores does not eliminate between-laboratory variability.
This item appears in the following Collection(s)
- Academic publications [243398]
- Electronic publications [129940]
- Faculty of Medical Sciences [92493]
- Open Access publications [104464]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.