Evidence map›Paper›PMID 37866700›Full record

ArticleRegulatory toxicology and pharmacology : RTP2023

Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment.

Daniele Wikoff, Caroline Ring, Michael DeVito, Nigel Walker, Linda Birnbaum, Laurie Haws

Open access · greenAbstract read
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Dioxins vs. PFAS: Science and Policy Challenges.Environmental health perspectives · 2024
    Article
  4. 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

6 authors at 4 institutions in 1 country.

Daniele WikoffToxStrategies, Asheville, NC, USA. Electronic address: dwikoff@toxstrategies.com.
Caroline RingToxStrategies, Austin, TX, USA.
Michael DeVitoEnvironmental Protection Agency, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA.
Nigel WalkerNational Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC, USA.
Linda BirnbaumNational Institute of Environmental Health Sciences, Research Triangle Park, NC, USA; Nicholas School of the Environment, Duke University, Durham, NC, USA.
Laurie HawsToxStrategies, Austin, TX, USA.
BioStrategies (United States) · USDuke University · USEnvironmental Protection Agency · USNational Institutes of Health · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The toxic equivalency factors (TEFs) approach for dioxin-like chemicals (DLCs) is currently based on a qualitative assessment of a heterogeneous data set of relative estimates of potency (REPs) spanning several orders of magnitude with highly variable study quality and relevance. An effort was undertaken to develop a weighting framework to systematically evaluate and quantitatively integrate the quality and relevance for development of more robust TEFs. Six main-study characteristics were identified as most important in characterizing the quality and relevance of an individual REP for human health risk assessment: study type, study model, pharmacokinetics, REP derivation method, REP derivation quality, and endpoint. Subsequently, a computational approach for quantitatively integrating the weighting framework parameters was developed and applied to the REP

Indexed as

DioxinsPolychlorinated BiphenylsPolychlorinated DibenzodioxinsDatabases, FactualHumansRisk AssessmentUncertaintyDioxinsPolychlorinated BiphenylsPolychlorinated DibenzodioxinsBayesianDioxinsIntegrationPCBsQualityRelative potencyREPsRisk assessmentTEFs

Identifiers

PMID37866700
PMCPMC10941990
OpenAlexW4387849504

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.