Evidence map›Paper›PMID 40913320›Full record

ArticleMolecular genetics & genomic medicine2025

Chromosomal Abnormalities in Couples Experiencing Recurrent Implantation Failure in West of Iran: A Case-Control Study.

Atefeh Asgari, Amir Mohammad Salehi, Fatemeh Shahbazi, Safieh Ghahremani, Ebrahim Kamrani Saleh

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Article in Molecular genetics & genomic medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Atefeh AsgariResearch Center for Molecular Medicine, Institute of Cancer, Avicenna Health Research Institute (AHRI), Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0003-0550-7217
Amir Mohammad SalehiStudent Research Committee, Hamadan University of Medical Sciences, School of Medicine, Hamadan, Iran.ORCID https://orcid.org/0000-0002-1724-6432
Fatemeh ShahbaziDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID https://orcid.org/0000-0003-2320-4885
Safieh GhahremaniCytogenetic Laboratories, Shahid Beheshti Hospital, Hamadan University of Medical Sciences, Hamadan, Iran.
Ebrahim Kamrani SalehCytogenetic Laboratories, Shahid Beheshti Hospital, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

Vice Chancellor for Research and Technology, Hamadan University of Medical Sciences 140007205960
6 · The paper itself

Abstract

backgroundRecurrent Implantation Failure (RIF) is defined as the inability to establish pregnancy despite high-quality embryo transfer after the application of at least three consecutive in vitro fertilization (IVF)/intracytoplasmic sperm injection-embryo transfer procedures. Chromosomal abnormalities are one of the primary reasons for pregnancy failure, miscarriage, and birth defects in both natural conception and IVF pregnancies. This study was to evaluate the incidence of chromosomal abnormalities in peripheral blood samples from 100 couples who experienced RIF.

methodsChromosomal structure analysis was conducted on peripheral blood samples from 100 couples who experienced RIF between 2018 and 2022. Additionally, cytogenetic assessments were conducted on 200 healthy individuals without clinical issues to ensure the accuracy. The GTG-Banding technique was employed in our research.

resultsOut of the 200 individuals who faced RIF, six (3%) exhibited chromosomal abnormalities, comprising five (83.3%) men and one (16.6%) woman. Translocation was the main type of autosomal structural abnormalities; also, we found one inversion and one pstk - (population polymorphism). Conversely, no chromosomal abnormalities were detected in the control group. We found chromosomal abnormalities in 3% of study participants who had experienced RIF.

conclusionChromosomal abnormalities significantly contribute to RIF. Therefore, it is imperative to conduct cytogenetic screening for both partners before initiating any assisted reproductive technology procedures.

Indexed as

Chromosome AberrationsEmbryo ImplantationAbortion, HabitualAdultCase-Control StudiesEmbryo TransferFemaleFertilization in VitroHumansIranMalePregnancySperm Injections, Intracytoplasmicassisted reproductive techniquechromosomal abnormalitiesgeneticinfertilityIVFkaryotyping

Identifiers

PMID40913320
PMCPMC12413484

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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.