Evidence map›Paper›PMID 24471646›Full record

ArticleBioethics2015

Bisphenol A and risk management ethics.

David B Resnik, Kevin C Elliott

Abstract read
In one paragraph

Article in Bioethics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Subconscious value influences on science.Studies in history and philosophy of science · 2025
    Article
  2. Article
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  4. Article
  5. Science, Values, and the New Demarcation Problem.Journal for general philosophy of science = Zeitschrift fur allgemeine Wissenschaftstheorie · 2023
    Article
  6. Article
  7. Article
  8. Article
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  14. Review
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

2 authors.

David B Resnik
Kevin C Elliott

Funding

Ethical, social, and legal issues in environmental health researchZIAES102646 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNIK, DAVID · 2009 to 2025
$1.8M
Intramural NIH HHS ZIA ES102646
6 · The paper itself

Abstract

It is widely recognized that endocrine disrupting compounds, such as Bisphenol A, pose challenges for traditional paradigms in toxicology, insofar as these substances appear to have a wider range of low-dose effects than previously recognized. These compounds also pose challenges for ethics and policymaking. When a chemical does not have significant low-dose effects, regulators can allow it to be introduced into commerce or the environment, provided that procedures and rules are in place to keep exposures below an acceptable level. This option allows society to maximize the benefits from the use of the chemical while minimizing risks to human health or the environment, and it represents a compromise between competing values. When it is not possible to establish acceptable exposure levels for chemicals that pose significant health or environmental risks, the most reasonable options for risk management may be to enact either partial or complete bans on their use. These options create greater moral conflict than other risk management strategies, leaving policymakers difficult choices between competing values.

Indexed as

Social ValuesBenzhydryl CompoundsBisphenol A CompoundsConflict of InterestEndocrine DisruptorsEnvironmental ExposureEstrogens, Non-SteroidalHumansPhenolsRisk AssessmentRisk ManagementSocial JusticeUnited StatesUnited States Environmental Protection AgencyBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsEstrogens, Non-SteroidalPhenolsBisphenol Aendocrine disruptorsethicslow dose effectsregulationrisk management

Identifiers

PMID24471646
PMCPMC4115043

What OpenQuestion holds

Textmetadata
LicenceTDM
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.