Evidence map›Paper›PMID 25110461›Full record

ArticleGreen chemistry : an international journal and green chemistry resource : GC2013

Designing Endocrine Disruption Out of the Next Generation of Chemicals.

T T Schug, R Abagyan, B Blumberg, T J Collins, D Crews, P L DeFur, S M Dickerson, T M Edwards, A C Gore, L J Guillette and 13 more

Abstract read
In one paragraph

Article in Green chemistry : an international journal and green chemistry resource : GC, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Endocrine-Disrupting Chemicals: Science and Policy.Policy insights from the behavioral and brain sciences · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Inhibition of pathogenic3 Biotech · 2020
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

23 authors.

T T Schug
R Abagyan
B Blumberg
T J Collins
D Crews
P L DeFur
S M Dickerson
T M Edwards
A C Gore
L J Guillette
T Hayes
J J Heindel
A Moores
H B Patisaul
T L Tal
K A Thayer
L N Vandenberg
J Warner
C S Watson
F S Vom Saal
R T Zoeller
K P O'Brien
J P Myers

Funding

Forging Synergies Between Environmental Health and Green ChemistryR13ES016981 · NIEHS · VIRGINA ORGANIZING PROJECT · PI O'BRIEN, KAREN · 2008 to 2008
$6k
NIEHS NIH HHS R13 ES016981
6 · The paper itself

Abstract

A central goal of green chemistry is to avoid hazard in the design of new chemicals. This objective is best achieved when information about a chemical's potential hazardous effects is obtained as early in the design process as feasible. Endocrine disruption is a type of hazard that to date has been inadequately addressed by both industrial and regulatory science. To aid chemists in avoiding this hazard, we propose an endocrine disruption testing protocol for use by chemists in the design of new chemicals. The Tiered Protocol for Endocrine Disruption (TiPED) has been created under the oversight of a scientific advisory committee composed of leading representatives from both green chemistry and the environmental health sciences. TiPED is conceived as a tool for new chemical design, thus it starts with a chemist theoretically at "the drawing board." It consists of five testing tiers ranging from broad

Identifiers

PMID25110461
PMCPMC4125359

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.