ArticleReproductive medicine and biology
The gonadotropins starting dose calculator, which can be adjusted the target number of oocytes and stimulation duration days to achieve individualized controlled ovarian stimulation in Japanese patients.
Article in Reproductive medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Predicting the optimal timing for triggering in controlled ovarian stimulation: mature oocytes retrieval predictor.Reproductive biology and endocrinology : RB&E · 2025Article
- Progestin-only pretreatment enhances follicular synchronization and embryo development: a three-arm retrospective cohort study in GnRH antagonist cycles.Contraception and reproductive medicine · 2025Article
- Development of a novel calculator to predict gonadotropin dose and oocyte yield in oocyte cryopreservation cycles.Journal of assisted reproduction and genetics · 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
- The gonadotropins starting dose calculator, which can be adjusted the target number of oocytes and stimulation duration days to achieve individualized controlled ovarian stimulation in Japanese patients.Reproductive medicine and biologyArticle
- Verification of the utility of the gonadotropin starting dose calculator in progestin-primed ovarian stimulation: A comparison of empirical and calculated controlled ovarian stimulation.Reproductive medicine and biologyArticle
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To create a gonadotropin starting dose calculator for controlled ovarian stimulation, which can adjust the target number of oocytes and stimulation duration for each facility to achieve individualized controlled ovarian stimulation among the Japanese patients. Methods: The patients received controlled ovarian stimulation using the gonadotropin-releasing hormone antagonist protocol, and oocytes were retrieved. Using single regression analysis, we selected age, anti-Müllerian hormone (AMH), and initial serum follicle-stimulating hormone as variables to predict the number of oocytes retrieved per gonadotropin dose (oocyte sensitivity index). Each variable was then analyzed using backward stepwise multiple regression. Results: Age and AMH were selected as predictive variables from the backward stepwise multiple regression, and we developed a multiple regression equation. We decomposed the equation as the number of oocytes retrieved/(gonadotropin starting dose × stimulation duration days) and created a calculation formula to predict the gonadotropin starting dose from the target number of oocytes and stimulation duration days. Conclusions: This is the first study to develop an individualized dosing algorithm for gonadotropins among Japanese patients. Our calculator will improve controlled ovarian stimulation performance and enable national standardization by allowing all physicians, regardless of their years of experience, to determine the appropriate starting dose of gonadotropins equally.
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Registered trials
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