Evidence map›Paper›PMID 33891999›Full record

ArticleRegulatory toxicology and pharmacology : RTP2021

Comparisons of PNEC derivation logic flows under example regulatory schemes and implications for ecoTTC.

S E Belanger, A Beasley, J L Brill, J Krailler, K A Connors, G J Carr, M Embry, M G Barron, R Otter, A Kienzler

Abstract read
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

S E BelangerThe Procter & Gamble Company, Cincinnati, OH, USA. Electronic address: sebelang@fuse.net.
A BeasleyThe Dow Chemical Company, Midland, MI, USA. Electronic address: abeasley@dow.com.
J L BrillThe Procter & Gamble Company, Cincinnati, OH, USA. Electronic address: brill.jl@g.com.
J KraillerThe Procter & Gamble Company, Cincinnati, OH, USA. Electronic address: krailler.j@pg.com.
K A ConnorsThe Procter & Gamble Company, Cincinnati, OH, USA. Electronic address: connors.ka@pg.com.
G J CarrThe Procter & Gamble Company, Cincinnati, OH, USA. Electronic address: carr.gj@pg.com.
M EmbryHealth and Environmental Sciences Institute, Washington, DC, USA. Electronic address: membry@hesiglobal.com.
M G BarronU.S. EPA, Office of Research & Development, Gulf Breeze, FL, USA. Electronic address: Barron.Mace@epa.gov.
R OtterThe Data Science Institute, Middle Tennessee State University, Murfreesboro, TN, USA. Electronic address: ryan.otter@mtsu.edu.
A KienzlerEuropean Commission, Joint Research Centre, Ispra, Italy. Electronic address: aude.kienzler@efsa.europa.eu.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Derivation of Predicted No Effect Concentrations (PNECs) for aquatic systems is the primary deterministic form of hazard extrapolation used in environmental risk assessment. Depending on the data availability, different regulatory jurisdictions apply application factors (AFs) to the most sensitive measured endpoint to derive the PNEC for a chemical. To assess differences in estimated PNEC values, two PNEC determination methodologies were applied to a curated public database using the EnviroTox Platform (www.EnviroToxdatabase.org). PNECs were derived for 3647 compounds using derivation procedures based on example US EPA and a modified European Union chemical registration procedure to allow for comparisons. Ranked probability distributions of PNEC values were developed and 5th percentile values were calculated for the entire dataset and scenarios where full acute or full chronic data sets were available. The lowest PNEC values indicated categorization based on chemical attributes and modes of action would lead to improved extrapolations. Full acute or chronic datasets gave measurably higher 5th percentile PNEC values. Algae were under-represented in available ecotoxicity data but drove PNECs disproportionately. Including algal inhibition studies will be important in understanding chemical hazards. The PNEC derivation logic flows are embedded in the EnviroTox Platform providing transparent and consistent PNEC derivations and PNEC distribution calculations.

Indexed as

AnimalsDatabases, FactualHazardous SubstancesLogicNo-Observed-Adverse-Effect LevelProbabilityRisk AssessmentToxicity Tests, ChronicWater Pollutants, ChemicalHazardous SubstancesWater Pollutants, ChemicalAquaticHazardPredicted No Effect concentrationStatisticThreshold of toxicologic concern

Identifiers

PMID33891999
PMCPMC10461128

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LicenceCC BY-NC-ND
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Registered trials

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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.