ArticleJournal of clinical medicine2020
The Ovarian Sensitivity Index (OSI) Significantly Correlates with Ovarian Reserve Biomarkers, Is More Predictive of Clinical Pregnancy than the Total Number of Oocytes, and Is Consistent in Consecutive IVF Cycles.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Assessment indicators of ovarian response during controlled ovarian stimulation: influencing factors and clinical value.Frontiers in endocrinology · 2026Review
- Association between ovarian sensitivity index and IVF-ET outcomes in women of advanced maternal age.Frontiers in endocrinology · 2026Article
- Comparable Clinical and Embryological Outcomes in Luteal and Follicular Phase Controlled Ovarian Hyperstimulation: A Retrospective Cohort Study.F&S reports · 2025Article
- Integrated chemical exposome-metabolome profiling of follicular fluid and associations with fertility outcomes during assisted reproduction.Environment international · 2025Article
- Impact of Body Fat Distribution and Insulin Sensitivity on In Vitro Fertilization Outcomes: A Prospective Observational Study.Journal of clinical medicine · 2025Article
- The relevance of female overweight in infertility treatment: a position statement of the Italian Society of Fertility and Sterility and Reproductive Medicine (SIFES-MR).Journal of assisted reproduction and genetics · 2025Article
- Ovarian sensitivity index-based nomogram for predicting clinical pregnancy outcomes in patients with diminished ovarian reserve undergoingFrontiers in medicine · 2025Article
- A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development.Journal of ovarian research · 2024Article
- Ovarian sensitivity index affects clinical pregnancy and live birth rates in gonadotropin-releasing hormone agonist and antagonistFrontiers in endocrinology · 2024Article
- Impact of Insulin Resistance on Ovarian Sensitivity and Pregnancy Outcomes in Patients with Polycystic Ovary Syndrome Undergoing IVF.Journal of clinical medicine · 2023Article
- Association of HOMA-IR with Ovarian Sensitivity Index in Women Undergoing IVF/ICSI: A Retrospective Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Association between chemical mixtures and female fertility in women undergoing assisted reproduction in Sweden and Estonia.Environmental research · 2023Article
- Association between HOMA-IR and ovarian sensitivity index in women with PCOS undergoing ART: A retrospective cohort study.Frontiers in endocrinology · 2023Article
- Prediction model of gonadotropin starting dose and its clinical application in controlled ovarian stimulation.BMC pregnancy and childbirth · 2022Article
- Follicular fluid PlGF and IVF/ICSI outcomes among PCOS and normo-ovulatory women using different controlled hyperstimulation protocols: A prospective case-control study.Annals of medicine and surgery (2012) · 2022Article
- Are There Ovarian Responsive Indexes That Predict Cumulative Live Birth Rates in Women over 39 Years?Journal of clinical medicine · 2022Article
- Expectant Management Before In vitro Fertilization in Women Aged 39 or Above and Unexplained Infertility Does Not Decrease Live Birth Rates Compared to Immediate Treatment.Reproductive sciences (Thousand Oaks, Calif.) · 2022Article
- Machine Learning-Based Modeling of Ovarian Response and the Quantitative Evaluation of Comprehensive Impact Features.Diagnostics (Basel, Switzerland) · 2022Article
- Women in Advanced Reproductive Age: Are the Follicular Output Rate, the Follicle-Oocyte Index and the Ovarian Sensitivity Index Predictors of Live Birth in an IVF Cycle?Journal of clinical medicine · 2022Article
- Single-cell RNA-seq analysis and cell-cluster deconvolution of the human preovulatory follicular fluid cells provide insights into the pathophysiology of ovarian hyporesponse.Frontiers in endocrinology · 2022Article
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Authors and funding
9 authors.
Funding
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Abstract
BACKGROUND AND
objectivesSome biomarkers of ovarian responsiveness to gonadotropins and the total number of retrieved oocytes are known to affect the success rate after controlled ovarian stimulation (COS) and in vitro fertilization (IVF). The aim of this study was to study another putative marker, the Ovarian Sensitivity Index (OSI: (number of retrieved oocytes/total gonadotropin dose) × 1000), assessing whether (a) it correlates with ovarian responsiveness biomarkers, (b) it is an independent predictor of clinical pregnancy, (c) it predicts clinical pregnancy comparably to the number of retrieved oocytes, and (d) it is consistent in the repeated COS cycles of the same woman.
designretrospective analysis.
settingpublic IVF Unit in University Hospital. Cases and Measurements: 1612 patients submitted to 3353 IVF cycles were included, their OSI was calculated and it was correlated with the ovarian responsiveness biomarkers (age, BMI, anti-Mullerian hormone, antral follicle count). The OSI and the total number of oocytes were compared for their value in predicting clinical pregnancy. The inter-cycle consistency of the OSI was estimated in 209 patients who underwent two consecutive cycles in which the ovarian stimulation regimen was changed from the Gonadotropin-releasing Hormone (GnRH)-agonist long protocol to the GnRH-antagonist protocol or vice-versa.
resultsThe OSI turned out to be significantly related to age and BMI (inversely), the anti-Mullerian hormone (AMH) and the antral follicle count (AFC) (directly), to be an independent predictor of clinical pregnancy, and to correlate with clinical pregnancy better than the total number of oocytes ( CONCLUSION(S): The OSI significantly correlates to the currently used biomarkers of ovarian responsiveness; it is an independent predictor of clinical pregnancy; it is more predictive of clinical pregnancy than the total number of oocytes, and is highly consistent in repeated IVF cycles even when the COS protocol changes. These characteristics make the OSI quite suitable to be incorporated into more complex prediction models of IVF outcome.
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