Evidence map›Paper›PMID 42324377›Full record

ArticleJournal of assisted reproduction and genetics2026

Impact of semen quality on the risk of direct cleavage in human embryos.

Pengcheng Xu, Shujuan Ma, Yating Li, Yifan Gu, Fei Gong, Ge Lin, Junhua Zhou, Shuoping Zhang

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pengcheng XuSchool of Public Health, Hunan Normal University, Changsha, China.
Shujuan MaClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive & Genetic Hospital CITIC-Xiangya, Changsha, China.
Yating LiSchool of Public Health, Hunan Normal University, Changsha, China.
Yifan GuClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive & Genetic Hospital CITIC-Xiangya, Changsha, China.
Fei GongClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive & Genetic Hospital CITIC-Xiangya, Changsha, China.
Ge LinClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive & Genetic Hospital CITIC-Xiangya, Changsha, China.
Junhua ZhouSchool of Public Health, Hunan Normal University, Changsha, China. zhoujunhua@hunnu.edu.cn.
Shuoping ZhangClinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive & Genetic Hospital CITIC-Xiangya, Changsha, China. baibaipang@hotmail.com.

Funding

Changsha City Natural Science Foundation KQ2502189Hunan Province Natural Science Foundation 2026JJ50556Hunan Province Social Science Achievement Evaluation Committee Project XSP25YBZ146Hunan Provincial Enterprise Joint Fund 2024JJ9093National Natural Science Foundation of China 72504291
6 · The paper itself

Abstract

purposeDirect cleavage (DC) is a prevalent abnormal cleavage pattern that adversely affects embryonic development. Though sperm dysfunction is thought to be involved in its pathogenesis, large-scale data confirming the link between routine semen parameters and DC risk are still lacking. This study aimed to investigate the relationship between semen parameters and DC occurrence in human embryos.

methodsThis retrospective study enrolled 4529 patients and analyzed morphokinetic data of 28,517 embryos retrieved at the Reproductive & Genetic Hospital of CITIC-XIANGYA, with the study period spanning from November 2022 and June 2025. All participants received semen parameter detection, covering sperm concentration, progressive motility, normal morphology, and acrosin activity within 1 year prior to oocyte retrieval. Embryos were categorized into DC and non-DC groups based on cleavage patterns observed at the first and second cleavage stages. Restriction cubic spline regression (RCS) was employed to analyze dose-response associations, and generalized linear mixed models (GLMMs) were used to account for hierarchical data from multiple embryos per patient. Sensitivity and subgroup analyses were conducted to verify the robustness of the findings.

resultsRCS analysis revealed a significant association between progressive motility and DC risk at the second cleavage stage (overall P = 0.006). GLMMs confirmed that elevated progressive motility was significantly associated with a decreased DC risk at this stage (OR = 0.922, 95% CI 0.870-0.977, P = 0.006). Higher acrosin activity was significantly associated with a lower DC risk at the second cleavage stage (OR = 0.910, 95% CI 0.830-0.999, P = 0.046). Sensitivity analyses, including limiting semen samples to those collected within 3 months before oocyte retrieval, excluding embryos from patients with severe oligo-, astheno-, or teratozoospermia, and restricting analyses to fresh semen specimens only, confirmed the consistency and robustness of the primary findings. Subgroup analyses additionally consolidated the reliable associations between progressive motility, acrosin activity, and DC.

conclusionsHigher sperm progressive motility and acrosin activity are independently associated with a lower DC risk in human embryos. This study highlights the impact of semen quality on early embryonic development.

Indexed as

Cleavage Stage, OvumEmbryonic DevelopmentSemen AnalysisSpermatozoaAcrosinAdultEmbryo TransferFemaleFertilization in VitroHumansMaleOocyte RetrievalPregnancyRetrospective StudiesSperm CountSperm MotilityAcrosinAcrosin activityDirect cleavageHuman embryosSemen parametersSperm progressive motility

Identifiers

PMID42324377
PMCPMC13598010

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.