Evidence map›Paper›PMID 39537973›Full record

ArticleScientific reports2024

The Motility Ratio method as a novel approach to qualify semen assessment.

Agnès Camus, Charlène Rouillon, Lucie Gavin-Plagne, Eric Schmitt

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Agnès Camus *IMV Technologies, ZI no 1 Est, 61270, Saint Ouen sur Iton, France. agnes.camus@imv-technologies.com.
Charlène Rouillon *IMV Technologies, ZI no 1 Est, 61270, Saint Ouen sur Iton, France.
Lucie Gavin-PlagneIMV Technologies, ZI no 1 Est, 61270, Saint Ouen sur Iton, France.
Eric SchmittIMV Technologies, ZI no 1 Est, 61270, Saint Ouen sur Iton, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many scientific studies often assumed that the most reliable methods for assessing sperm motility are those that give the highest values, and this leads to misinterpretation of the results. This study aims to propose an objective method to validate sperm motility reliability. Bovine and porcine semen samples were split into two equal fractions. Fraction A was kept alive with a motile population considered at maximum proportion, while fraction B was killed with 0% motile population. A range of motile/non motile sperm was performed by mixing both fractions. The Motility Ratio method, comparing measured and theoretical motility, was validated using LEJA slide and IVOS II and applied to other slides. All slides showed strong Concordance Correlation Coefficient between measured and theoretical motility. However, with IVOS II, LEJA slide showed the lowest bias (< 1) while MAKLER or coverslip showed higher bias (> 2 and > 7 respectively) between measured and theoretical motility. This study shows that the best sperm motility is not always the true motility and highlights the importance of implementing a gold standard methodology for motility reliability such as The Motility Ratio method.

Indexed as

Semen AnalysisSperm MotilityAnimalsCattleMaleReproducibility of ResultsSemenSpermatozoaSwineAccurate analysisBovine spermMotility RatioPorcine spermReliable resultsSemen motility

Identifiers

PMID39537973
PMCPMC11561241

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.