Evidence map›Paper›PMID 41155401›Full record

ArticleInternational journal of molecular sciences2025

Clustering of Uterine Natural Killer Cells Around Uterine Glands in Women with Recurrent Implantation Failure and Recurrent Pregnancy Loss: An Immunohistochemical Study.

Lenka Lapides, Martin Klein, Ivan Varga, Jaroslav Voller, Pavel Babal

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Mesenchymal stem cells for recurrent miscarriage.Journal of translational medicine · 2026
    Review
  2. Review
  3. Article
  4. 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

5 authors.

Lenka LapidesFaculty of Medicine, Institute of Histology and Embryology, Comenius University, 811 08 Bratislava, Slovakia.
Martin KleinFaculty of Medicine, Institute of Histology and Embryology, Comenius University, 811 08 Bratislava, Slovakia.
Ivan VargaFaculty of Medicine, Institute of Histology and Embryology, Comenius University, 811 08 Bratislava, Slovakia.ORCID 0000-0002-0918-741X
Jaroslav VollerFaculty of Healthcare Studies, University of Western Bohemia, 301 00 Pilsen, Czech Republic.
Pavel BabalFaculty of Medicine, Institute of Pathology, Comenius University, 811 08 Bratislava, Slovakia.ORCID 0000-0001-8170-1850

Funding

Ministry of Education, Research, Development, and Youth of the Slovak Republic VEGA 1/0625/23Ministry of Education, Youth and Sports of the Czech Republic (MEYS) Institutional Support for the Long-term Conceptual Development of Research Organization (Activity 1311)
6 · The paper itself

Abstract

The immunological factor of sterility, specifically the abnormal count and activity of uterine NK (uNK) cells, may represent one of the potential contributors affecting specific subgroups of sterile couples undergoing assisted reproductive treatment (ART). Therefore, the primary purpose of the present paper was to assess uNK cell count. A total of 387 endometrial biopsies from patients with recurrent implantation failure (RIF) or recurrent pregnancy loss (RPL) were analyzed to identify abnormalities in uNK cell count, using immunohistopathological evaluation. ANOVA analysis revealed a strong association with factor 0.161 with

Indexed as

Abortion, HabitualEmbryo ImplantationKiller Cells, NaturalUterusAdultEndometriumFemaleHumansImmunohistochemistryPregnancyassisted reproductive treatmentimmunohistochemistryrecurrent implantation failurerecurrent pregnancy lossuNK cell clusters

Identifiers

PMID41155401
PMCPMC12563378

What OpenQuestion holds

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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.