Internal quality control of semen analysis
Open accessAbstract
Objective To test a scheme for quality control of semen analysis. Design The reproducibility of assessment of sperm concentration, motility, and morphology was obtained for the same sample measured by different technicians (between or intertechnician variation) and for different samples assessed by each technician with time (within or intratechnician variation). Setting Andrology Laboratory. Patients Semen samples were analyzed from all patients attending the clinic. Interventions None. Main outcome measures Within technician and between technician coefficients of variation for concentration, motility, and morphology. Results When 100 sperm were routinely assessed, both intratechnician variation, as assessed from the precision of duplicate measurements, and intertechnician variation revealed hyperbolic curves with increasing variation at low percentages (less than 20) of motile or morphological forms. When these low values were excluded, mean intratechnician variations were 5.0%, 8.4%, and 2.8% for concentration, motility, and morphology, respectively, and mean intertechnician variations were, respectively, 6.1%, 5.6%, and 5.6%. Similar mean intertechnician variation for morphology was obtained for repeated assessment of prestained (7.3%) or presmeared (5.9%) slides. The use of cryopreserved semen to monitor longitudinal changes in the technicians' assessments revealed variations of 8.1% to 12% in concentration and 9.7% to 14% in motility. Computing the monthly means for sper…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Classification drift exists between different classification systems (e.g., WHO 2nd, 3rd).
“Furthermore, studies have identified a classification drift between different classification systems (i.e., WHO 2nd, 3rd, etc.)56”
From Men with a complete absence of normal sperm morphology exhibit high rates of success without assisted reproduction (2017) · cites this paper as [5]
Cited by
Sorted by citations
Smith, R., Kovac, J., Cajipe, M., Lamb, D., & Lipshultz, L. (2017) · Asian Journal of Andrology · doi:10.4103/1008-682x.189211 · Cited by 66 · see citing works
Sperm morphology: classification drift over time and clinical implications
Morbeck, D. E., Leonard, P. H., Weaver, A. L., Shimek, K. M., Bouwsma, E. V. A., & Coddington, C. C. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.08.036 · Cited by 24 · see citing works
- Authors
- Cooper, T. G., Neuwinger, J., Bahrs, S., & Nieschlag, E.
- Affiliations
- University of Münster (DE)
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 1992-07
- Volume
- 58
- Issue
- 1
- Pages
- 172-178
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W2411902522
- Cited by
- 164
- References
- 0
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 7 · 2015: 2 · 2014: 2 · 2013: 5 · 2012: 3
- FWCI
- 4.74
- 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 › Physiology › Clinical Laboratory Practices and Quality Control
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- semen analysis, internal quality control, sperm concentration, sperm motility, sperm morphology, andrology laboratory, frozen semen
- MeSH terms
- Humans, Male, Quality Control, Semen, Semen Preservation, Sperm Count, Sperm Motility, Spermatozoa, World Health Organization, Cryopreservation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review