Evidence map›Paper›PMID 31880834›Full record

ReviewEnvironmental toxicology and chemistry2020

Validation of Bioavailability-Based Toxicity Models for Metals.

Emily R Garman, Joseph S Meyer, Christine M Bergeron, Tamzin A Blewett, William H Clements, Michael C Elias, Kevin J Farley, Francesca Gissi, Adam C Ryan

Abstract readReview
In one paragraph

Review in Environmental toxicology and chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mean Species Abundance as a Measure of Ecotoxicological Risk.Environmental toxicology and chemistry · 2020
    Article
  10. Review
  11. Development of Empirical Bioavailability Models for Metals.Environmental toxicology and chemistry · 2020
    Article
  12. Article
  13. 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

9 authors.

Emily R GarmanNiPERA Inc., Durham, North Carolina, USA.
Joseph S MeyerApplied Limnology Professionals, Golden, Colorado, USA.
Christine M BergeronOffice of Water, US Environmental Protection Agency, Washington, DC, USA.
Tamzin A BlewettDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
William H ClementsDepartment of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.
Michael C EliasOffice of Water, US Environmental Protection Agency, Washington, DC, USA.
Kevin J FarleyDepartment of Civil and Environmental Engineering, Manhattan College, Riverdale, New York, USA.
Francesca GissiEnvironment Protection Science, Department of Planning, Industry and Environment, New South Wales Government, Sydney, New South Wales, Australia.ORCID 0000-0002-4622-7572
Adam C RyanWindward Environmental, Syracuse, New York, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Regulatory jurisdictions worldwide are increasingly incorporating bioavailability-based toxicity models into development of protective values (PVALs) for freshwater and saltwater aquatic life (e.g., water quality criteria, standards, and/or guidelines) for metals. Use of such models for regulatory purposes should be contingent on their ability to meet performance criteria as specified through a model-validation process. Model validation generally involves an assessment of a model's appropriateness, relevance, and accuracy. We review existing guidance for validation of bioavailability-based toxicity models, recommend questions that should be addressed in model-validation studies, discuss model study type and design considerations, present several new ways to evaluate model performance in validation studies, and suggest a framework for use of model validation in PVAL development. We conclude that model validation should be rigorous but flexible enough to fit the user's purpose. Although a model can never be fully validated to a level of zero uncertainty, it can be sufficiently validated to fit a specific purpose. Therefore, support (or lack of support) for a model should be presented in such a way that users can choose their own level of acceptability. We recommend that models be validated using experimental designs and endpoints consistent with the data sets that were used to parameterize and calibrate the model and validated across a broad range of geographically and ecologically relevant water types. Environ Toxicol Chem 2019;39:101-117. © 2019 SETAC.

Indexed as

MetalsModels, BiologicalWater Pollutants, ChemicalAnimalsAquatic OrganismsBiological AvailabilityEnvironmental MonitoringFresh WaterReproducibility of ResultsSpecies SpecificityWater QualityMetalsWater Pollutants, ChemicalBiotic ligand modelMetal bioavailabilityMetal toxicityModel performanceValidationWater chemistry

Identifiers

PMID31880834
PMCPMC8218924

What OpenQuestion holds

Textmetadata
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.