The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment
Open accessAbstract
Experimental studies investigating the effects of endocrine disruptors frequently identify potential unconventional dose-response relationships called non-monotonic dose-response (NMDR) relationships. Standardized approaches for investigating NMDR relationships in a risk assessment context are missing. The aim of this work was to develop criteria for assessing the strength of NMDR relationships. A literature search was conducted to identify published studies that report NMDR relationships with endocrine disruptors. Fifty-one experimental studies that investigated various effects associated with endocrine disruption elicited by many substances were selected. Scoring criteria were applied by adaptation of an approach previously used for identification of hormesis-type dose-response relationships. Out of the 148 NMDR relationships analyzed, 82 were categorized with this method as having a "moderate" to "high" level of plausibility for various effects. Numerous modes of action described in the literature can explain such phenomena. NMDR can arise from numerous molecular mechanisms such as opposing effects induced by multiple receptors differing by their affinity, receptor desensitization, negative feedback with increasing dose, or dose-dependent metabolism modulation. A stepwise decision tree was developed as a tool to standardize the analysis of NMDR relationships observed in the literature with the final aim to use these results in a Risk Assessment purpose. This decision tree was finally applied to studies focused on the effects of bisphenol A.
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
Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses
Vandenberg, L. N., Colborn, T., Hayes, T. B., Heindel, J. J., Jacobs, D. R., Lee, D.-H., Shioda, T., Soto, A. M., vom Saal, F. S., Welshons, W. V., et al. (2012) · Endocrine Reviews · doi:10.1210/er.2011-1050 · Cited by 3,209
Risk Assessment in the Federal Government: Managing the Process
Earth, D. O. (1983) · Cited by 2,437
State-of-the-science of endocrine disrupting chemicals, 2012
Bergman, Å., Heindel, J., Jobling, S., Kidd, K., & Zoeller, R. T. (2012) · Toxicology Letters · doi:10.1016/j.toxlet.2012.03.020 · Cited by 1,388
The role of corticotropin-releasing factor in depression and anxiety disorders
Arborelius, L., Owens, M., Plotsky, P., & Nemeroff, C. (1999) · Journal of Endocrinology · doi:10.1677/joe.0.1600001 · Cited by 1,378
Zoeller, R. T., Brown, T. R., Doan, L. L., Gore, A. C., Skakkebaek, N. E., Soto, A. M., Woodruff, T. J., & Vom Saal, F. S. (2012) · Endocrinology · doi:10.1210/en.2012-1422 · Cited by 1,173
Klimisch, H.-J., Andreae, M., & Tillmann, U. (1997) · Regulatory Toxicology and Pharmacology · doi:10.1006/rtph.1996.1076 · Cited by 1,160
Developmental origins of non-communicable disease: Implications for research and public health
Barouki, R., Gluckman, P. D., Grandjean, P., Hanson, M., & Heindel, J. J. (2012) · Environmental Health · doi:10.1186/1476-069x-11-42 · Cited by 789
Vom Saal, F. S., Cooke, P. S., Buchanan, D. L., Palanza, P., Thayer, K. A., Nagel, S. C., Parmigiani, S., & Welshons, W. V. (1998) · Toxicology and Industrial Health · doi:10.1177/074823379801400115 · Cited by 757
Developmental Origins of Health and Disease
Gillman, M. W. (2005) · New England Journal of Medicine · doi:10.1056/nejme058187 · Cited by 748
Saal, F. S. V., Timms, B. G., Montano, M. M., Palanza, P., Thayer, K. A., Nagel, S. C., Dhar, M. D., Ganjam, V. K., Parmigiani, S., & Welshons, W. V. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.5.2056 · Cited by 701
Cited by
Calsolaro, V., Pasqualetti, G., Niccolai, F., Caraccio, N., & Monzani, F. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18122583 · Cited by 149
Achieving CLARITY on bisphenol A, brain and behaviour
Patisaul, H. B. (2020) · Journal of Neuroendocrinology · doi:10.1111/jne.12730 · Cited by 76
Marí-Bauset, S., Peraita-Costa, I., Donat-Vargas, C., Llopis-González, A., Marí-Sanchis, A., Llopis-Morales, J., & Morales Suárez-Varela, M. (2022) · Autism · doi:10.1177/13623613211039950 · Cited by 10
Metadata
- Authors
- Lagarde, F., Beausoleil, C., Belcher, S. M., Belzunces, L. P., Emond, C., Guerbet, M., & Rousselle, C.
- Venue
- Environmental Health
- Published
- 2015-02-11
- Volume
- 14
- Issue
- 1
- Pages
- 13-13
- ISSN
- 1476-069X (ISSN-L)
- OpenAlex
- W2133475553
- Cited by
- 462
- References
- 80
- FWCI
- 20.69
- Type
- journal article
- Language
- en
- Open access
- gold
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: Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment. https://app.cochat.ai/papers/10.1186/1476-069x-14-13
- The paper
- Lagarde, F., Beausoleil, C., Belcher, S. M., Belzunces, L. P., Emond, C., Guerbet, M., & Rousselle, C. (2015). Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment. Environmental Health. https://doi.org/10.1186/1476-069x-14-13
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.
