ArticleFrontiers in endocrinology2021
Evaluation of Ovarian Reserve Tests and Age in the Prediction of Poor Ovarian Response to Controlled Ovarian Stimulation-A Real-World Data Analysis of 89,002 Patients.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The best ovarian reserve marker to predict ovarian response following controlled ovarian hyperstimulation: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- Efficacy of intra-ovarian injection of autologous platelet-rich plasma in women with poor responders: a systematic review and meta-analysis.Archives of gynecology and obstetrics · 2024Pooled it
- Systematic review of acupuncture to improve ovarian function in women with poor ovarian response.Frontiers in endocrinology · 2023Pooled it
- Endocrine and Molecular Mechanisms of Oocyte Aging: From Gonadotropin Signaling to Metabolic and Microenvironmental Dysfunction.Current issues in molecular biology · 2026Review
- Comparing the clinical pregnancy outcomes of fresh embryo transfer in young patients with poor prognosis using different ovarian stimulation protocols.Journal of ovarian research · 2026Article
- Predictive value of AMH in late reproductive age: a retrospective cohort study.Scientific reports · 2025Article
- Technical and Performance Characteristics Between Different Anti-Mullerian Hormone (AMH) Assay Methods and Antral Follicle Count (AFC) in Malaysian Women with Infertility: A University-Based Centre Cohort.Life (Basel, Switzerland) · 2025Article
- Article
- The predictive value of anti-Müllerian hormone on embryo quality in PGT-A cycles analysis.Frontiers in endocrinology · 2025Article
- Inter-cycle variability of anti-Müllerian hormone: implications for predicting controlled ovarian stimulation cycle outcomes.Journal of ovarian research · 2024Article
- Identification of metabolomic changes and potential therapeutic targets during ovarian aging.Aging · 2024Article
- Development and validation of a prediction model for suboptimal ovarian response in polycystic ovary syndrome (PCOS) patients undergoing GnRH-antagonist protocol in IVF/ICSI cycles.Journal of ovarian research · 2024Article
- Development and validation of a prediction model for unexpected poor ovarian response during IVF/ICSI.Frontiers in endocrinology · 2024Article
- Perceived stress and markers of ovarian reserve among subfertile women.Reproductive biomedicine online · 2023Observational
- Biomarkers of aging.Science China. Life sciences · 2023Review
- Anti-Müllerian Hormone and Follicle-Stimulating Hormone Are Poor Independent Predictors of Live Birth After Assisted Reproductive Technology.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Subfertile Chinese patients with diminished ovarian reserve: An analysis of pregnancy outcomes of ART cycles.Pakistan journal of medical sciencesArticle
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8 authors.
Funding
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Abstract
Aims: This study aimed to explore the value of ovarian reserve tests (ORTs) for predicting poor ovary response (POR) and whether an age cutoff could improve this forecasting, so as to facilitate clinical decision-making for women undergoing Methods: A retrospective cohort study was conducted on poor ovary response (POR) patients using real-world data from five reproductive centers of university-affiliated hospitals or large academic hospitals in China. A total of 89,002 women with infertility undergoing their first traditional ovarian stimulation cycle for Results: In this retrospective cohort, the frequency of POR in the first IVF cycle was 14.8%. Age, AFC, AMH, and bFSH were used as predicting factors for POR, of which AMH and AFC were the best indicators when using a single factor for prediction (AUC 0.862 and 0.842, respectively). The predictive values of the multivariate model included age and AMH (AUC 0.865), age and AFC (AUC 0.850), age and all three ORTs (AUC 0.873). Compared with using a single factor alone, the combinations of ORTs and female age can increase the predictive value of POR. Adding age to single AMH model improved the prediction accuracy compared with AMH alone (AUC 0.865 Conclusion: AFC and AMH demonstrated a high accuracy when using ROC regression to predict POR. When testing is reliable, AMH can be used alone to forecast POR. When AFC is used as a prediction parameter, age is suggested to be considered as well. Based on the results of the cutoff threshold analysis, AFC ≤ 5 and AMH ≤ 1.18 ng/ml should be recommended to predict POR more accurately in IVF/ICSI patients.
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