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Reducing Inter-Laboratory Differences between Semen Analyses Using Z Score and Regression Transformations

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 ret...

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Detalles Bibliográficos
Autores principales: Leushuis, Esther, Wetzels, Alex, van der Steeg, Jan Willem, Steures, Pieternel, Bossuyt, Patrick M.M., van Trooyen, Netty, Repping, Sjoerd, van der Horst, Frans A.L., Hompes, Peter G.A. Hompes, Mol, Ben Willem J., van der Veen, Fulco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royan Institute 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793175/
https://www.ncbi.nlm.nih.gov/pubmed/26985342
Descripción
Sumario: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 (CV(B)) 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 CV(B)was 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.