The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
A systematic review of tests predicting ovarian reserve and IVF outcome
Abstract
The age-related decline of the success in IVF is largely attributable to a progressive decline of ovarian oocyte quality and quantity. Over the past two decades, a number of so-called ovarian reserve tests (ORTs) have been designed to determine oocyte reserve and quality and have been evaluated for their ability to predict the outcome of IVF in terms of oocyte yield and occurrence of pregnancy. Many of these tests have become part of the routine diagnostic procedure for infertility patients who undergo assisted reproductive techniques. The unifying goals are traditionally to find out how a patient will respond to stimulation and what are their chances of pregnancy. Evidence-based medicine has progressively developed as the standard approach for many diagnostic procedures and treatment options in the field of reproductive medicine. We here provide the first comprehensive systematic literature review, including an a priori protocolized information retrieval on all currently available and applied tests, namely early-follicular-phase blood values of FSH, estradiol, inhibin B and anti-Müllerian hormone (AMH), the antral follicle count (AFC), the ovarian volume (OVVOL) and the ovarian blood flow, and furthermore the Clomiphene Citrate Challenge Test (CCCT), the exogenous FSH ORT (EFORT) and the gonadotrophin agonist stimulation test (GAST), all as measures to predict ovarian response and chance of pregnancy. We provide, where possible, an integrated receiver operating characteristic (ROC) analysis and curve of all individual evaluated published papers of each test, as well as a formal judgement upon the clinical value. Our analysis shows that the ORTs known to date have only modest-to-poor predictive properties and are therefore far from suitable for relevant clinical use. Accuracy of testing for the occurrence of poor ovarian response to hyperstimulation appears to be modest. Whether the a priori identification of actual poor responders in the first IVF cycle has any prognostic value for their chances of conception in the course of a series of IVF cycles remains to be established. The accuracy of predicting the occurrence of pregnancy is very limited. If a high threshold is used, to prevent couples from wrongly being refused IVF, a very small minority of IVF-indicated cases (approximately 3%) are identified as having unfavourable prospects in an IVF treatment cycle. Although mostly inexpensive and not very demanding, the use of any ORT for outcome prediction cannot be supported. As poor ovarian response will provide some information on OR status, especially if the stimulation is maximal, entering the first cycle of IVF without any prior testing seems to be the preferable strategy.
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
The diagnostic odds ratio: a single indicator of test performance
Glas, A. S., Lijmer, J. G., Prins, M. H., Bonsel, G. J., & Bossuyt, P. M. M. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00177-x · Cited by 2,261
Moses, L. E., Shapiro, D., & Littenberg, B. (1993) · Statistics in Medicine · doi:10.1002/sim.4780121403 · Cited by 1,405
Systematic reviews of evaluations of diagnostic and screening tests
Deeks, J. J. (2001) · BMJ · doi:10.1136/bmj.323.7305.157 · Cited by 1,340
The variability of female reproductive ageing
te Velde, E. R. (2002) · Human Reproduction Update · doi:10.1093/humupd/8.2.141 · Cited by 1,214
Conducting systematic reviews of diagnostic studies: didactic guidelines
Devillé, W. L., Buntinx, F., Bouter, L. M., Montori, V. M., de Vet, H. C., van der Windt, D. A., & Bezemer, P. D. (2002) · BMC Medical Research Methodology · doi:10.1186/1471-2288-2-9 · Cited by 960
Serum 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
Systematic reviews of evaluations of diagnostic and screening tests
(2001) · Europe PMC (PubMed Central) · Cited by 850
Refining clinical diagnosis with likelihood ratios
Grimes, D. A., & Schulz, K. F. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66422-7 · Cited by 828
(1997) · PubMed · Cited by 784
Guidelines for Meta-analyses Evaluating Diagnostic Tests
Irwig, L., Tosteson, A. N. A., Gatsonis, C., Lau, J., Colditz, G., Chalmers, T. C., & Mosteller, F. (1994) · Annals of Internal Medicine · doi:10.7326/0003-4819-120-8-199404150-00008 · Cited by 753
Cited by
Ovarian aging: mechanisms and clinical consequences
Broekmans, F. J., Soules, M. R., & Fauser, B. C. (2009) · Endocrine Reviews · doi:10.1210/er.2009-0006 · Cited by 1,248
Self-citationFemale reproductive ageing: current knowledge and future trends
Broekmans, F. J., Knauff, E. A. H., te Velde, E. R., Macklon, N. S., & Fauser, B. C. (2007) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2007.01.004 · Cited by 427
Self-citationMonniaux, D., Clément, F., Dalbiès-Tran, R., Estienne, A., Fabre, S., Mansanet, C., & Monget, P. (2014) · Biology of Reproduction · doi:10.1095/biolreprod.113.117077 · Cited by 233
Sugita, A., Iwase, A., Goto, M., Nakahara, T., Nakamura, T., Kondo, M., Osuka, S., Mori, M., Saito, A., & Kikkawa, F. (2013) · Fertility and Sterility · doi:10.1016/j.fertnstert.2013.03.032 · Cited by 120
Lemos, N. A., Arbo, E., Scalco, R., Weiler, E., Rosa, V., & Cunha-Filho, J. S. (2008) · Fertility and Sterility · doi:10.1016/j.fertnstert.2007.04.048 · Cited by 110
Metadata
- Authors
- Broekmans, F. J., Kwee, J., Hendriks, D. J., Mol, B. W., & Lambalk, C. B.
- Venue
- Human Reproduction Update
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-04
- Volume
- 12
- Issue
- 6
- Pages
- 685-718
- ISSN
- 1355-4786 (ISSN-L)
- 1460-2369
- OpenAlex
- W2176164372
- Cited by
- 1,258
- References
- 95
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- closed
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: A systematic review of tests predicting ovarian reserve and IVF outcome. https://app.cochat.ai/papers/10.1093/humupd/dml034
- The paper
- Broekmans, F. J., Kwee, J., Hendriks, D. J., Mol, B. W., & Lambalk, C. B. (2006). A systematic review of tests predicting ovarian reserve and IVF outcome. Human Reproduction Update. https://doi.org/10.1093/humupd/dml034
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.