ArticleJBRA assisted reproduction2020
The Kidscore
Article in JBRA assisted reproduction, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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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.
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Who cites it
20 citing papers in PubMed, 35 citations in OpenAlex.
- Trial emulation for validating the clinical efficacy of a foundational AI model in embryo selection.NPJ digital medicine · 2026Article
- Exploring the increasing aneuploidy stress effects on embryo morphokinetic development: non-linear and stage-specific disruption in developmental timing.Journal of assisted reproduction and genetics · 2026Article
- Clinical case: successful birth as a result of the transfer of an embryo at the blastocyst stage from an oocyte obtained from a tumoral ovary using the OTO-IVM method.Frontiers in medicine · 2026Article
- Development and validation of a predictive model for early blastocyst formation on day 4 post-fertilization.Frontiers in endocrinology · 2026Article
- The ART of Embryo Selection: A Review of Methods to Rank the Most Competent Embryo(s) for Transfer to Optimize IVF Success.Biomedicines · 2025Review
- Accurate machine learning model for human embryo morphokinetic stage detection.Journal of assisted reproduction and genetics · 2025Article
- Deep Learning Models: Their Relationship with Embryonic Euploidies and Reproductive Outcomes.Genes · 2025Review
- Time-lapse analysis of embryos classified as euploid, mosaic, and aneuploid after embryonic trophectoderm biopsy.Journal of assisted reproduction and genetics · 2025Article
- Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.Reproductive biology and endocrinology : RB&E · 2024Article
- Associations between the artificial intelligence scoring system and live birth outcomes in preimplantation genetic testing for aneuploidy cycles.Reproductive biology and endocrinology : RB&E · 2024Article
- The morphokinetic signature of human blastocysts with mosaicism and the clinical outcomes following transfer of embryos with low-level mosaicism.Journal of ovarian research · 2024Article
- Morphokinetic parameters of mouse oocyte meiotic maturation and cumulus expansion are not affected by reproductive age or ploidy status.Journal of assisted reproduction and genetics · 2023Article
- Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles.Journal of clinical medicine · 2023Article
- Development of an artificial intelligence based model for predicting the euploidy of blastocysts in PGT-A treatments.Scientific reports · 2023Article
- Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer.Clinical and experimental reproductive medicine · 2022Article
- Majority of transferred mosaic embryos developed healthy live births revealed by a preclinical study using embryonic morphology assessment and noninvasive PGT-A on cell-free DNA in blastocoel fluid.Journal of assisted reproduction and genetics · 2022Article
- Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics.F&S reports · 2022Article
- Pseudo contrastive labeling for predicting IVF embryo developmental potential.Scientific reports · 2022Article
- Change in the Strategy of Embryo Selection with Time-Lapse System Implementation-Impact on Clinical Pregnancy Rates.Journal of clinical medicine · 2021Article
- The morphokinetics algorithm based on data from day 5 blastocyst transfer (KIDScoreD5 version 3) is also useful for embryo selection in day 6 blastocyst transfer.Reproductive medicine and biologyArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the use of implantation data algorithm KIDscoreTM D5 (Vitrolife®, Canada) as an additional tool for morphological assessment and preimplantation genetic testing for aneuploidies (PGT-A) to improve implantation and ongoing pregnancy rates. MATERIALS AND
methodsThis study looked into 912 embryos from 270 patients who underwent IVF at the INMATER Fertility Clinic in Lima, Peru, between October 2016 and June 2018. All embryos were cultured for up to five or six days in an Embryoscope® time-lapse incubator (Vitrolife®, Canada) and evaluated based on the KIDscoreTM D5 algorithm (KS5). Biopsies for PGT-A screening were performed in 778 (85.31%) embryos. A total of 184 single embryo transfers (68% of patients) were performed during the study period and the embryos transferred were divided into four groups: 1) euploid embryos transferred without consideration to their KS5 scores (n=86); 2) euploid embryos transferred considering their KS5 scores (n=48); 3) embryos transferred without consideration to their KS5 scores and that were not evaluated by PGT-A (n=40); and 4) embryos transferred considering their KS5 scores and that were not evaluated by PGT-A (n=10). Implantation and ongoing pregnancy rates were compared between the groups and between euploid embryos with the highest KS5 scores (KS5=6, n=25) and euploid embryos with the lowest KS5 scores (KS5=1, n=51). The correlations between KS5 scores and embryo euploidy rates were also evaluated.
resultsEuploid embryo transfers in which KS5 scores were considered in the selection process had significantly higher Implantation and ongoing pregnancy rates compared to euploid embryo transfers in which selection was based on morphology (75.00% vs. 50.00%; p=0.002 and 66.66% vs. 48.83%; p=0.037, respectively). Additionally, implantation rates were significantly higher for blastocysts with the highest KS5 score (KS5=6) compared to blastocysts with the lowest score (KS5=1) (80.00% vs. 49.02%; p=0.045). Ongoing pregnancy rates were not significantly different (72.00% vs. 47.06%; p=0.105). Euploidy rates were significantly higher in the group of embryos with KS5=6 than in the group of embryos with KS5=1 (61.88% vs. 48.33%; p=0.006).
conclusionEmbryo selection based on the KS5 algorithm score improved the implantation rates of single euploid blastocyst transfers. Furthermore, embryos with the highest KS5 score had a higher probability of being euploid and implanting.
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