Evidence map›Paper›PMID 36482497›Full record

ArticleClinical and experimental reproductive medicine2022

Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer.

Jihyun Kim, Jaewang Lee, Jin Hyun Jun

Open access · diamondAbstract read
In one paragraph

Article in Clinical and experimental reproductive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% 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.

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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Observational
  3. Micro magnetic resonance spectroscopy for noninvasive metabolic screening of mammalian embryos and oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. The Integration of Artificial Intelligence inJournal of pharmacy & bioallied sciences · 2025
    Review
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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

3 authors at 2 institutions in 1 country.

Jihyun KimDepartment of Obstetrics and Gynaecology, Seoul Medical Center, Seoul, Republic of Korea.
Jaewang LeeDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, Republic of Korea.
Jin Hyun JunDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, Republic of Korea.
Eulji University · KRSeoul Medical Center · KR

Funding

National Research Foundation of Korea NRF-2018R1D-1A1B07046419National Research Foundation of Korea NRF2020R1F-1A1071918
6 · The paper itself

Abstract

The ultimate goal of human assisted reproductive technology is to achieve a healthy pregnancy and birth, ideally from the selection and transfer of a single competent embryo. Recently, techniques for efficiently evaluating the state and quality of preimplantation embryos using time-lapse imaging systems have been applied. Artificial intelligence programs based on deep learning technology and big data analysis of time-lapse monitoring system during in vitro culture of preimplantation embryos have also been rapidly developed. In addition, several molecular markers of the secretome have been successfully analyzed in spent embryo culture media, which could easily be obtained during in vitro embryo culture. It is also possible to analyze small amounts of cell-free nucleic acids, mitochondrial nucleic acids, miRNA, and long non-coding RNA derived from embryos using real-time polymerase chain reaction (PCR) or digital PCR, as well as next-generation sequencing. Various efforts are being made to use non-invasive evaluation of embryo quality (NiEEQ) to select the embryo with the best developmental competence. However, each NiEEQ method has some limitations that should be evaluated case by case. Therefore, an integrated analysis strategy fusing several NiEEQ methods should be urgently developed and confirmed by proper clinical trials.

Indexed as

Assisted reproductive technologyCell-free nucleic acidsCulture mediaEmbryoMicroRNANon-invasiveSecretome

Identifiers

PMID36482497
PMCPMC9732075
OpenAlexW4310113721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.