The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Individualization of controlled ovarian stimulation in IVF using ovarian reserve markers: from theory to practice
Open accessAbstract
BACKGROUND: The main objective of individualization of treatment in IVF is to offer every single woman the best treatment tailored to her own unique characteristics, thus maximizing the chances of pregnancy and eliminating the iatrogenic and avoidable risks resulting from ovarian stimulation. Personalization of treatment in IVF should be based on the prediction of ovarian response for every individual. The starting point is to identify if a woman is likely to have a normal, poor or a hyper response and choose the ideal treatment protocol tailored to this prediction. The objective of this review is to summarize the predictive ability of ovarian reserve markers, such as antral follicle count (AFC) and anti-Mullerian hormone (AMH), and the therapeutic strategies that have been proposed in IVF after this prediction. METHODS: A systematic review of the existing literature was performed by searching Medline, EMBASE, Cochrane library and Web of Science for publications in the English language related to AFC, AMH and their incorporation into controlled ovarian stimulation (COS) protocols in IVF. Literature available to May 2013 was included. RESULTS: The search generated 305 citations of which 41 and 25 studies, respectively, reporting the ability of AMH and AFC to predict response to COS were included in this review. The literature review demonstrated that AFC and AMH, the most sensitive markers of ovarian reserve identified to date, are ideal in planning personalized COS protocols. These sensitive markers permit prediction of the whole spectrum of ovarian response with reliable accuracy and clinicians may use either of the two markers as they can be considered interchangeable. Following the categorization of expected ovarian response to stimulation clinicians can adopt tailored therapeutic strategies for each patient. Current scientific trend suggests the elective use of the GnRH antagonist based regimen for hyper-responders, and probably also poor responders, as likely to be beneficial. The selection of the appropriate and individualized gonadotrophin dose is also of paramount importance for effective COS and subsequent IVF outcomes. CONCLUSION: Personalized IVF offers several benefits; it enables clinicians to give women more accurate information on their prognosis thus facilitating counselling especially in cases of extremes of ovarian response. The deployment of therapeutic strategies based on selective use of GnRH analogues and the fine tuning of the gonadotrophin dose on the basis of potential ovarian response in every single woman can allow for a safer and more effective IVF practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Daya, S., Maheshwari, A., Siristatidis, C. S., Bhattacharya, S., & Gibreel, A. (2000) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001299 · Cited by 114
RetractedFerraretti, A. P., La Marca, A., Fauser, B. C. J. M., Tarlatzis, B., Nargund, G., Gianaroli, L., & on behalf of the ESHRE working group on Poor Ovarian Response Definition (2011) · Human Reproduction · doi:10.1093/humrep/der092 · Cited by 1,882
Self-citationWeenen, C. (2004) · Molecular Human Reproduction · doi:10.1093/molehr/gah015 · Cited by 1,285
A systematic review of tests predicting ovarian reserve and IVF outcome
Broekmans, F. J., Kwee, J., Hendriks, D. J., Mol, B. W., & Lambalk, C. B. (2006) · Human Reproduction Update · doi:10.1093/humupd/dml034 · Cited by 1,258
Anti-Mullerian hormone (AMH) as a predictive marker in assisted reproductive technology (ART)
La Marca, A., Sighinolfi, G., Radi, D., Argento, C., Baraldi, E., Artenisio, A. C., Stabile, G., & Volpe, A. (2010) · Human Reproduction Update · doi:10.1093/humupd/dmp036 · Cited by 956
Self-citationSerum anti-Mullerian hormone levels: a novel measure of ovarian reserve
van Rooij, I. A. J. (2002) · Human Reproduction · doi:10.1093/humrep/17.12.3065 · Cited by 951
Sunkara, S. K., Rittenberg, V., Raine-Fenning, N., Bhattacharya, S., Zamora, J., & Coomarasamy, A. (2011) · Human Reproduction · doi:10.1093/humrep/der106 · Cited by 924
Self-citationScreening for fetal aneuploidies at 11 to 13 weeks
Nicolaides, K. H. (2011) · Prenatal Diagnosis · doi:10.1002/pd.2637 · Cited by 642
Gonadotrophin-releasing hormone antagonists for assisted reproductive technology
Al-Inany, H. G., Youssef, M. A., Ayeleke, R. O., Brown, J., Lam, W. S., & Broekmans, F. J. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001750.pub4 · Cited by 600
Correlation of ovarian reserve tests with histologically determined primordial follicle number
Hansen, K. R., Hodnett, G. M., Knowlton, N., & Craig, L. B. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2010.04.006 · Cited by 534
Cited by
Fabregues, F., González-Foruria, I., Peñarrubia, J., & Carmona, F. (2018) · Human Reproduction · doi:10.1093/humrep/dey244 · Cited by 34
Metadata
- Authors
- La Marca, A., & Sunkara, S. K.
- Venue
- Human Reproduction Update
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-09-29
- Volume
- 20
- Issue
- 1
- Pages
- 124-140
- ISSN
- 1355-4786 (ISSN-L)
- 1460-2369
- OpenAlex
- W2101304900
- Cited by
- 586
- References
- 99
- FWCI
- 36.43
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Individualization of controlled ovarian stimulation in IVF using ovarian reserve markers: from theory to practice. https://app.cochat.ai/papers/10.1093/humupd/dmt037
- The paper
- La Marca, A., & Sunkara, S. K. (2014). Individualization of controlled ovarian stimulation in IVF using ovarian reserve markers: from theory to practice. Human Reproduction Update. https://doi.org/10.1093/humupd/dmt037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.