ArticleScientific reports2023
Prediction of ovulation: new insight into an old challenge.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Assessing the accuracy, reliability, and validity of menstrual cycle phase tracking equations in an applied sport setting.European journal of applied physiology · 2026Article
- Endocrine modulation of cortical and retinal baseline perfusion across the menstrual cycle.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Ultrasound-Guided Ovulation Monitoring Versus Home Ovulation Tests and Psychosocial Outcomes in Subfertile Couples: Prospective Cohort Study.BJOG : an international journal of obstetrics and gynaecology · 2026Article
- Treatment management algorithm for natural frozen embryo transfer cycles using a real-time ovulation prediction machine learning model.Scientific reports · 2026Article
- Spontaneous ovulation, hormonal profiles, and the impact of progesterone timing variation on outcomes in natural proliferative phase frozen embryo transfer cycles with single euploid blastocyst transfer.Journal of ovarian research · 2025Article
- Serum estradiol on the day of final oocyte maturation and outcome of assisted reproduction in women with thyroid autoimmunity.Scientific reports · 2025Article
- A Clinical Assessment of the Outcomes of Intrauterine Insemination Based on Mid-cycle Luteinizing Hormone Levels.Cureus · 2025Article
- Exogenous progesterone rescue in patients with low mid-luteal serum progesterone levels undergoing true natural vitrified-warmed blastocyst transfer.Journal of assisted reproduction and genetics · 2025Article
- Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study.Scientific reports · 2024Article
- Riboflavin for women's health and emerging microbiome strategies.NPJ biofilms and microbiomes · 2024Review
- Thyroid dysfunction in women with a menopausal syndrome.Przeglad menopauzalny = Menopause review · 2024Article
- Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study.Journal of ovarian research · 2024Article
- Revisiting the Trigger-to-Oocyte Retrieval Interval: A Machine Learning-Guided Strategy for Improving Oocyte Yield in Diminished Ovarian Reserve.Reproductive medicine and biologyArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultrasound monitoring and hormonal blood testing are considered by many as an accurate method to predict ovulation time. However, uniform and validated algorithms for predicting ovulation have yet to be defined. Daily hormonal tests and transvaginal ultrasounds were recorded to develop an algorithm for ovulation prediction. The rupture of the leading ovarian follicle was a marker for ovulation day. The model was validated retrospectively on natural cycles frozen embryo transfer cycles with documented ovulation. Circulating levels of LH or its relative variation failed, by themselves, to reliably predict ovulation. Any decrease in estrogen was 100% associated with ovulation emergence the same day or the next day. Progesterone levels > 2 nmol/L had low specificity to predict ovulation the next day (62.7%), yet its sensitivity was high (91.5%). A model for ovulation prediction, combining the three hormone levels and ultrasound was created with an accuracy of 95% to 100% depending on the combination of the hormone levels. Model validation showed correct ovulation prediction in 97% of these cycles. We present an accurate ovulation prediction algorithm. The algorithm is simple and user-friendly so both reproductive endocrinologists and general practitioners can use it to benefit their patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.