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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royan Institute
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793175/ https://www.ncbi.nlm.nih.gov/pubmed/26985342 |
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author | 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 |
author_facet | 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 |
author_sort | Leushuis, Esther |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4793175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Royan Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-47931752016-03-16 Reducing Inter-Laboratory Differences between Semen Analyses Using Z Score and Regression Transformations 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 Int J Fertil Steril Original Article 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. Royan Institute 2016 2015-12-23 /pmc/articles/PMC4793175/ /pubmed/26985342 Text en Any use, distribution, reproduction or abstract of this publication in any medium, with the exception of commercial purposes, is permitted provided the original work is properly cited http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article 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 Reducing Inter-Laboratory Differences between Semen Analyses Using Z Score and Regression Transformations |
title | Reducing Inter-Laboratory Differences between Semen Analyses
Using Z Score and Regression Transformations |
title_full | Reducing Inter-Laboratory Differences between Semen Analyses
Using Z Score and Regression Transformations |
title_fullStr | Reducing Inter-Laboratory Differences between Semen Analyses
Using Z Score and Regression Transformations |
title_full_unstemmed | Reducing Inter-Laboratory Differences between Semen Analyses
Using Z Score and Regression Transformations |
title_short | Reducing Inter-Laboratory Differences between Semen Analyses
Using Z Score and Regression Transformations |
title_sort | reducing inter-laboratory differences between semen analyses
using z score and regression transformations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793175/ https://www.ncbi.nlm.nih.gov/pubmed/26985342 |
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