Evidence map›Paper›PMID 41587017›Full record

ArticleJournal of assisted reproduction and genetics2026

Epigenetic sperm quality testing for predicting fertility treatment success: a real-world and multi-site analysis.

Kristin Brogaard, Susan Hudson, Carrie Bedient, Abby Eblen, Kristin Van Heertum, Emma Giuliani, Meghan Smith, Madeline Kaye, Amy Schutt, Lisa Hansard and 15 more

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2026. 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

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

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

25 authors.

Kristin BrogaardPath Fertility, Salt Lake City, United States.
Susan HudsonTexas Fertility Center, Austin, United States.
Carrie BedientThe Fertility Center of Las Vegas, Las Vegas, United States.
Abby EblenNashville Fertility Center, Nashville, United States.
Kristin Van HeertumNashville Fertility Center, Nashville, United States.
Emma GiulianiThe Fertility Center of Grand Rapids, Grand Rapids, United States.
Meghan SmithNashville Fertility Center, Nashville, United States.
Madeline KayeTexas Fertility Center, Austin, United States.
Amy SchuttTexas Fertility Center, Austin, United States.
Lisa HansardTexas Fertility Center, Austin, United States.
Valerie ShavellThe Fertility Center of Grand Rapids, Grand Rapids, United States.
Kaylen SilverbergTexas Fertility Center, Austin, United States.
Mili ThakurThe Fertility Center of Grand Rapids, Grand Rapids, United States.
Andrew OlsonPath Fertility, Salt Lake City, United States.
Ryan MillerBrigham Young University, Provo, United States.
Lorry SchneiderPath Fertility, Salt Lake City, United States.
Derek PetersenPath Fertility, Salt Lake City, United States.
Bryce DainesPath Fertility, Salt Lake City, United States.
Lakingya RobinsonOvation Fertility, Austin, United States.
Alexis ReynoldsOvation Fertility, Austin, United States.
Nirvika SinghOvation Fertility, Austin, United States.
Khalied KaskarOvation Fertility, Austin, United States.
Jordan KassabDepartment of Urology, Baylor College of Medicine, Houston, United States.
Larry LipshultzDepartment of Urology, Baylor College of Medicine, Houston, United States.
Matthew VerMilyeaOvation Fertility, Austin, United States. Tex.VerMilyea@usfertility.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInfertility affects 1 in 6 couples, yet male fertility assessments often rely on semen analysis alone, which has limited predictive value for treatment success. This study evaluates an epigenetic tool for assessing sperm quality, aiming to provide a more comprehensive view of male fertility and improve personalized treatment strategies.

methodsDe-identified pregnancy outcomes from 537 couples treated at 10 US fertility clinics were analyzed. Partner ages, total motile sperm count, treatment type, and sperm epigenetic quality were considered to assess associations with fertility treatment outcomes.

resultsMen with abnormal sperm epigenetic profiles had significantly lower pregnancy success rates with intrauterine insemination (IUI) compared to those with normal profiles, despite similar sperm motility and concentration. In contrast, pregnancy rates did not differ between abnormal and normal profiles among couples undergoing in vitro fertilization (IVF) with intracytoplasmic sperm injection (ICSI), suggesting that ICSI may overcome sperm epigenetic quality issues.

conclusionThis real-world analysis was limited by the availability of detailed clinical and phenotypic data, which may introduce potential confounders. Nevertheless, the findings highlight the clinical value of epigenetic sperm assessment as part of male fertility evaluation and support its potential to guide more effective, personalized fertility treatment pathways.

Indexed as

Epigenesis, GeneticFertilityInfertility, MaleSemen AnalysisSpermatozoaAdultFemaleFertilization in VitroHumansMalePregnancyPregnancy OutcomePregnancy RateSperm CountSperm Injections, IntracytoplasmicSperm MotilityEpigeneticsInfertilityIntrauterine insemination (IUI)IVF-ICSIMethylationSperm

Identifiers

PMID41587017
PMCPMC13103210

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.