Evidence map›Paper›PMID 42133854›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

SwimCount Harvester™ versus Density Gradient Centrifugation: A Pilot Study exploring Sperm DNA Fragmentation and Motile Sperm Recovery.

Mette Brix Jensen, Betina Boel Povlsen, Natalie Heide, Jette Lykkegaard, Maria Gabriela Mulato, Sandra Sousa, Peter Humaidan, Sandro C Esteves

Abstract readComparative Study
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mette Brix JensenUniversity Clinic for Fertility, Skive Regional Hospital, Denmark.
Betina Boel PovlsenUniversity Clinic for Fertility, Skive Regional Hospital, Denmark.
Natalie HeideUniversity Clinic for Fertility, Skive Regional Hospital, Denmark.
Jette LykkegaardUniversity Clinic for Fertility, Skive Regional Hospital, Denmark.
Maria Gabriela MulatoANDROFERT, Clínica de Andrologia e Reprodução Humana, Campinas, SP, Brasil.
Sandra SousaANDROFERT, Clínica de Andrologia e Reprodução Humana, Campinas, SP, Brasil.
Peter HumaidanUniversity Clinic for Fertility, Skive Regional Hospital, Denmark.
Sandro C EstevesANDROFERT, Clínica de Andrologia e Reprodução Humana, Campinas, SP, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare SwimCount Harvester™, a non-centrifugal sperm selection system, with Density Gradient Centrifugation (DGC) in terms of sperm DNA fragmentation (SDF), agreement between analytical methods, and total motile sperm recovery. MATERIALS AND

methodsThis pilot study evaluated semen samples processed using DGC and SwimCount Harvester™. SDF was assessed in raw and processed samples using the Sperm Chromatin Dispersion (SCD; Halosperm®) assay, analyzed both manually and via computer-assisted sperm analysis (SCA® CASA). Agreement between manual and CASA classification (>20% threshold) was evaluated using Cohen's kappa with bootstrap confidence intervals (10,000 resamples). Total motile sperm count (TMSC) was compared between DGC and Harvester (n=36), and effect size was calculated using Cohen's d.

resultsBoth DGC and Harvester significantly reduced SDF compared with raw semen (p<0.001 for all comparisons), with no significant difference between techniques (CASA p=0.219; manual p=0.341). Agreement between manual and CASA assessment improved following processing, reaching perfect concordance after Harvester (κ=1.00; bootstrap 95% CI 0.54-1.00). Harvester yielded significantly higher TMSC compared with DGC (p=0.001), with a large effect size (Cohen's d=0.81).

conclusionSwimCount Harvester™ achieves SDF reduction comparable to DGC while significantly increasing motile sperm recovery. These findings support the potential of non-centrifugal sperm selection as an alternative to conventional methods. Larger studies are required to confirm these results and determine their clinical implications.

Indexed as

DNA FragmentationSemen AnalysisSpermatozoaSperm MotilityCentrifugation, Density GradientHumansMalePilot ProjectsReproducibility of ResultsSperm CountMicrofluidicsSemen Quality AnalysisSpermatozoa

Identifiers

PMID42133854
PMCPMC13682752

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