Evidence map›Paper›PMID 25971433›Full record

ReviewEnvironmental health : a global access science source2015

Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment.

Fabien Lagarde, Claire Beausoleil, Scott M Belcher, Luc P Belzunces, Claude Emond, Michel Guerbet, Christophe Rousselle

Abstract readReview
In one paragraph

Review in Environmental health : a global access science source, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

133 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Expression of the Human R163C-International journal of molecular sciences · 2026
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73 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fabien LagardeRisk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), 14 rue Pierre et Marie Curie, 94701, Maisons-Alfort Cedex, France.
Claire BeausoleilRisk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), 14 rue Pierre et Marie Curie, 94701, Maisons-Alfort Cedex, France. claire.beausoleil@anses.fr.
Scott M BelcherDepartment of Pharmacology and Cell Biophysics, University of Cincinnati, College of Medicine, Cincinnati, OH, USA.
Luc P BelzuncesINRA, Laboratoire de Toxicologie Environnementale, UR 406 A&E, CS 40509, 84914, Avignon Cedex 9, France.
Claude EmondBioSimulation Consulting Inc., Newark, DE, USA.
Michel GuerbetUniversité de Rouen, UFR Médecine Pharmacie, Laboratoire de Toxicologie, UR 4651 ABTE, 76183, Rouen Cedex 1, France.
Christophe RousselleRisk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), 14 rue Pierre et Marie Curie, 94701, Maisons-Alfort Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Environmental ExposureDose-Response Relationship, DrugEndocrine DisruptorsEnvironmental MonitoringEnvironmental PollutantsRisk AssessmentEndocrine DisruptorsEnvironmental Pollutants

Identifiers

PMID25971433
PMCPMC4429934

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.