ArticleFrontiers in endocrinology2025
Maternal age and progesterone levels at trigger day as independent predictors of clinical pregnancy in poor ovarian responders undergoing IVF/ICSI: a retrospective analysis.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- Association of estradiol and progesterone levels on human chorionic gonadotropin day with pregnancy outcomes in IVF/ICSI fresh embryo transfer.Frontiers in endocrinology · 2026Article
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4 authors.
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Abstract
Background: Poor ovarian response (POR) during Methods: This retrospective study included 652 poor ovarian responders treated with IVF/ICSI between January 2018 and December 2021 at a tertiary fertility center. POR was defined according to the Bologna criteria. Various ovarian stimulation protocols (antagonist, modified natural cycle, short agonist, and long agonist protocols) were employed based on individualized patient assessment. Demographic data, ovarian stimulation details, cycle outcomes, and hormonal levels at trigger day were analyzed. Multivariate logistic regression was performed to identify independent predictors of clinical pregnancy. Results: Of the 652 patients analyzed, the clinical pregnancy rate was 5.5%. Age, body mass index (BMI), stimulation protocols, and other clinical variables showed no significant differences between pregnant and non-pregnant groups. Multivariate logistic regression analysis identified maternal age (adjusted OR: 1.035; 95% CI: 1.024-1.078; P=0.047) and progesterone levels at the trigger day (adjusted OR: 1.422; 95% CI: 1.380-1.564; P=0.034) as independent predictors of clinical pregnancy. Conclusions: Maternal age and progesterone levels on the trigger day are independent predictors of clinical pregnancy in poor ovarian responders undergoing IVF/ICSI. Tailoring ovarian stimulation strategies according to these predictive factors may enhance clinical outcomes in this challenging patient population. Further studies exploring advanced techniques and individual patient characteristics are necessary to optimize management strategies for POR patients.
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