Evidence map›Paper›PMID 21044350›Full record

ArticleBMC medical genetics2010

Chromosomal abnormalities in spontaneous abortion after assisted reproductive treatment.

Ji Won Kim, Woo Sik Lee, Tae Ki Yoon, Hyun Ha Seok, Jung Hyun Cho, You Shin Kim, Sang Woo Lyu, Sung Han Shim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06762704 (A Non-Invasive Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 5% of its field
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.

NCT06762704 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Non-Invasive Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy: a Multi-Center, Prospective, Non-Randomized Validation Study

TypeobservationalSponsorThe Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical SchoolRan2025 to 2027Enrolled1,408ConditionsThe Focus is to Validate the Accuracy of a Non-invasive Artificial Intelligence Model for the Prediction of the Human Blastocyst Ploidy, Preimplantation Genetic Testing (PGT)ArmsVideo recording
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Genomic aspects in reproductive medicine.Clinical and experimental reproductive medicine · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Case Report: Prenatal Identification of aFrontiers in genetics · 2022
    Article
  13. Article
  14. ALWAYS ICSI? A SWOT analysis.Journal of assisted reproduction and genetics · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Cytogenetic Analysis for Suspected Chromosomal Abnormalities; A Five Years Experience.Journal of clinical and diagnostic research : JCDR · 2016
    Article
  20. 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

8 authors at 2 institutions in 1 country.

Ji Won KimDepartment of Obstetrics and Gynecology, Fertility Center of CHA Gangnam Medical Center, CHA University, Seoul, Korea.
Woo Sik Lee
Tae Ki Yoon
Hyun Ha Seok
Jung Hyun Cho
You Shin Kim
Sang Woo Lyu
Sung Han Shim
CHA University · KRCHA University Gangnam Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated cytogenetic results occurring with first trimester pregnancy loss, and assessed the type and frequency of chromosomal abnormalities after assisted reproductive treatment (ART) and compared them with a control group. We also compared the rate of chromosomal abnormalities according to infertility causes in ICSI group.

methodsA retrospective cohort analysis was made of all patients who were referred to the Genetics Laboratory of Fertility Center of CHA Gangnam Medical Center from 2005 to 2009 because of clinical abortion with a subsequent dilation and evacuation (D&E) performed, and patients were grouped by type of conception as follows: conventional IVF (in vitro fertilization) (n = 114), ICSI (intracytoplasmic sperm injection) (n = 140), and control (natural conception or intrauterine insemination [IUI]) (n = 128). Statistical analysis was performed using SPSS software.

resultsA total 406 specimens were referred to laboratory, ten abortuses were excluded, and in 14 cases, we did not get any spontaneous metaphase, chromosomal constitutions of 382 specimens were successfully obtained with conventional cytogenetic methods. Overall, 52.62% of the miscarriages were found to be cytogenetically abnormal among all patients, the frequency was 48.4% in the control group, 54.3% of miscarriages after ICSI and 55.3% after conventional IVF (p = 0.503). The most prevalent abnormalities were autosomal trisomy, however, nine (11.69%) sex chromosome aneuploidy were noted in the ICSI group vs. four (6.45%) and two (3.23%) cases in the conventional IVF group and control group. We compared chromosomal abnormalities of miscarriages after ICSI according to infertility factor. 55.71% underwent ICSI due to male factors, 44.29% due to non-male factors. ICSI group having male factors showed significantly higher risk of chromosomal abnormalities than ICSI group having non-male factors (65.8% vs. 34.2%, p = 0.009, odds ratio = 1.529, 95% CI = 1.092-2.141).

conclusionsThere is no increased risk of chromosomal abnormalities due to ART was found with the exception of a greater number of sex chromosomal abnormalities in the ICSI group with male factor infertility. Therefore, these alterations could be correlated with the underlying parental risk of abnormalities and not with the ICSI procedure itself.

Indexed as

Chromosome AberrationsAbortion, SpontaneousAdultCase-Control StudiesCytogenetic AnalysisFemaleFertilization in VitroHumansMaleReproductive Techniques, AssistedSperm Injections, Intracytoplasmic

Identifiers

PMID21044350
PMCPMC2991301
OpenAlexW2062905671

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.