ArticleBMC pregnancy and childbirth2022
Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer.
Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Effect of Acupuncture on Endometrial Blood Flow in Women Undergoing in vitro Fertilization Embryo Transfer: A Single Blind, Randomized Controlled Trial.Chinese journal of integrative medicine · 2024Trial
- Predictive value of a nomogram based on multiparameter quantitative ultrasound for pregnancy outcomes in infertile women attempting natural conception.Quantitative imaging in medicine and surgery · 2026Article
- Development and internal temporal validation of an explainable XGBoost model for predicting clinical pregnancy after frozen embryo transfer.Frontiers in endocrinology · 2026Article
- Interpretable machine learning prediction of live birth after freeze-all FET cycles across transfer-order subgroups.Frontiers in endocrinology · 2026Article
- The development of nomograms to predict multiple pregnancy and multiple birth in frozen- thawed embryo transfer cycles: a retrospective study.Frontiers in endocrinology · 2026Article
- Machine learning-based preliminary screening tool for clinical pregnancy prediction: towards management of IVF/ICSI stages.Annals of medicine · 2025Article
- Comparison of clinical outcomes and predictive model analysis between short-term culture and overnight culture after embryo recovery at cleavage stage.Scientific reports · 2025Article
- Effect of Chinese Herbal Medicine on Pregnancy Outcomes in IVF Patients with Low Ovarian Reserve: A Predictive Model.Medicina (Kaunas, Lithuania) · 2025Article
- Nomogram for predicting live birth in ovulatory women undergoing frozen-thawed embryo transfer.BMC pregnancy and childbirth · 2024Article
- Analysis of cancer-specific survival in patients with metastatic colorectal cancer: A evidence-based medicine study.World journal of gastrointestinal surgery · 2024Article
- Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist.Seminars in reproductive medicine · 2024Review
- Ultrasound‑assessed endometrial receptivity measures for the prediction of in vitro fertilization‑embryo transfer clinical pregnancy outcomes: A meta‑analysis and systematic review.Experimental and therapeutic medicine · 2023Article
- A validated model for individualized prediction of pregnancy outcome in woman after fresh cycle of Day 5 single blastocyst transfer.Scientific reports · 2023Article
- Predictive value of 3D ultrasound assessment of endometrial receptivity for PGD/PGS for transfer pregnancy outcome.BMC pregnancy and childbirth · 2023Article
- From past to future: Bibliometric analysis of global research productivity on nomogram (2000-2021).Frontiers in public health · 2022Review
- Development and Validation of a Combined Model Integrating Early Pregnancy Ultrasound Radiomics and Clinical Features to Predict Live Birth Following Single Vitrified-Warmed Blastocyst Transfer.Reproductive medicine and biologyArticle
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5 authors.
Funding
Abstract
backgroundThis study aimed to identify multiple endometrial receptivity related factors by applying non-invasive, repeatable multimodal ultrasound methods. Combined with basic clinical data, we further established a practical prediction model for early clinical outcomes in Freeze-thawed Embryo Transfer (FET).
methodsRetrospective analysis of clinical data of infertility patients undergoing FET cycle in our Center from January 2017 to September 2019. Receiver operating characteristic (ROC) curve and decision curve analyses were performed by 500 bootstrap resamplings to assess the determination and clinical value of the nomogram, respectively.
resultsA total of 2457 FET cycles were included. We developed simple nomograms that predict the early clinical outcomes in FET cycles by using the parameters of age, BMI, type and number of embryos transferred, endometrial thickness, FI, RI, PI and number of endometrial and sub-endometrial blood flow. In the training cohort, the area under the ROC curve (AUC) showed statistical accuracy (AUC = 0.698), and similar results were shown in the subsequent validation cohort (AUC = 0.699). Decision curve analysis demonstrated the clinical value of this nomogram.
conclusionsOur nomogram can predict clinical outcomes and it can be used as a simple, affordable and widely implementable tool to provide guidance and treatment recommendations for FET patients.
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