ArticleJournal of assisted reproduction and genetics2023
Prediction of risk factors for first trimester pregnancy loss in frozen-thawed good-quality embryo transfer cycles using machine learning algorithms.
Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Determining risk factors predicting miscarriage among couples undergoing assisted reproductive treatment: a systematic review.BMC pregnancy and childbirth · 2026Pooled it
- Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.La Radiologia medica · 2025Pooled it
- Novel Models to Predict Pregnancy for Patients Receiving In-Vitro-Fertilization Embryo Transfer: The Significance of Clinical Indicators and Key Gene Expression in the Endometrium.Biochemical genetics · 2026Article
- Embryological and clinical predictors of implantation and live birth in 3000 single euploid embryo transfer cycles: a retrospective cohort study.Archives of gynecology and obstetrics · 2026Article
- Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol.PloS one · 2026Article
- Direct and indirect evidence for pyroptosis and immune dysregulation in IVF/ICSI-ET-related early pregnancy loss.Frontiers in immunology · 2026Review
- Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.Scientific reports · 2025Article
- Human placentation: foundations and implications for reproductive endocrinology and infertility.Systems biology in reproductive medicine · 2025Review
- Number of top-quality embryos transferred has no advantage in women over the age of 40 in FET cycles.BMC pregnancy and childbirth · 2025Article
- Impact of trophectoderm biopsy on serum β-hCG dynamics: PGT cycles vs. non-PGT cycles.Archives of gynecology and obstetrics · 2025Article
- Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications.Mayo Clinic proceedings. Digital health · 2024Review
- Enhancing uterine receptivity for embryo implantation through controlled collagenase intervention.Life science alliance · 2024Article
- [Establishment of a predictive nomogram for clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCan the risk factors that cause first trimester pregnancy loss in good-quality frozen-thawed embryo transfer (FET) cycles be predicted using machine learning algorithms?
methodsThis is a retrospective cohort study conducted at Sisli Memorial Hospital, ART and Reproductive Genetics Center, between January 2011 and May 2021. A total of 3805 good-quality FET cycles were included in the study. First trimester pregnancy loss rates were evaluated according to female age, paternal age, body mass index (BMI), diagnosis of infertility, endometrial preparation protocols (natural/artificial), embryo quality (top/good), presence of polycystic ovarian syndrome (PCOS), history of recurrent pregnancy loss (RPL), recurrent implantation failure (RIF), severe male infertility, adenomyosis and endometriosis.
resultsThe first trimester pregnancy loss rate was 18.2% (693/ 3805). The presence of RPL increased first trimester pregnancy loss (OR = 7.729, 95%CI = 5.908-10.142, P = 0.000). BMI, which is > 30, increased first trimester pregnancy loss compared to < 25 (OR = 1.418, 95%CI = 1.025-1.950, P = 0.033). Endometrial preparation with artificial cycle increased first trimester pregnancy loss compared to natural cycle (OR = 2.101, 95%CI = 1.630-2.723, P = 0.000). Female age, which is 35-37, increased first trimester pregnancy loss compared to < 30 (OR = 1.617, 95%CI = 1.120-2.316, P = 0.018), and female age, which is > 37, increased first trimester pregnancy loss compared to < 30 (OR = 2.286, 95%CI = 1.146-4,38, P = 0.016). The presence of PCOS increased first trimester pregnancy loss (OR = 1.693, 95%CI = 1.198-2.390, P = 0.002). The number of previous IVF cycles, which is > 3, increased first trimester pregnancy loss compared to < 3 (OR = 2.182, 95%CI = 1.708-2.790, P = 0.000).
conclusionsHistory of RPL, RIF, advanced female age, presence of PCOS, and high BMI (> 30 kg/m
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