Evidence map›Paper›PMID 31880836›Full record

ArticleEnvironmental toxicology and chemistry2020

Best Practices for Derivation and Application of Thresholds for Metals Using Bioavailability-Based Approaches.

Eric Van Genderen, Jenny L Stauber, Charles Delos, Diana Eignor, Robert W Gensemer, James McGeer, Graham Merrington, Paul Whitehouse

Open access · bronzeAbstract read
In one paragraph

Article 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Deriving a bioavailability-based zinc environmental quality standard for France.Environmental science and pollution research international · 2021
    Article
  7. Validation of Bioavailability-Based Toxicity Models for Metals.Environmental toxicology and chemistry · 2020
    Review
  8. Development of Empirical Bioavailability Models for Metals.Environmental toxicology and chemistry · 2020
    Article
  9. Article
  10. 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

8 authors at 7 institutions in 4 countries.

Eric Van GenderenInternational Zinc Association, Durham, North Carolina, USA.
Jenny L StauberCSIRO Land and Water, Lucas Heights, Australia.
Charles DelosGLEC, Traverse City, Michigan, USA.
Diana EignorUS Environmental Protection Agency, Washington, DC.
Robert W GensemerGEI Consultants, Fort Collins, Colorado, USA.
James McGeerWilfred Laurier University, Waterloo, Ontario, Canada.
Graham Merringtonwca environment, Faringdon, Oxfordshire, UK.
Paul WhitehouseEnvironment Agency, Howbery Park, Wallingford, UK.
CSIRO Land and Water · AUEnvironment Agency · GBEnvironmental Protection Agency · USFaringdon Day Hospital · GBGEI Consultants · USGreat Lakes Environmental Center · USWilfrid Laurier University · CA

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The primary goal of the present study is to provide a broad view of best practices for evaluating bioavailability models for metals for use in the protection of aquatic life. We describe the state of the science regarding 1) the evaluation and selection of ecotoxicity data, 2) the selection of bioavailability models for use in normalization, and 3) subsequent application of bioavailability models. Although many examples of normalization steps exist worldwide, a scheme is proposed to evaluate and select a model that takes account of its representativeness (water chemistry and taxonomic coverage of the ecotoxicity data set) and validation performance. Important considerations for a suitable model are the quantity of inputs needed, accuracy, and ease of use, all of which are needed to set protective values for aquatic life and to use these values to evaluate potential risks to organisms in receiving waters. Although the end results of different model application approaches may be broadly similar, the differences in these application frameworks ultimately come down to a series of trade-offs between who needs to collect the data and use the bioavailability model, the different requirements of spatial scales involved (e.g., regional vs site-specific values), and model predictiveness and protectiveness. Ultimately, understanding the limits and consequences of these trade-offs allows for selection of the most appropriate model and application framework to best provide the intended levels of aquatic life protection. Environ Toxicol Chem 2019;39:118-130. © 2019 SETAC.

Indexed as

MetalsModels, BiologicalWater Pollutants, ChemicalAnimalsAquatic OrganismsBiological AvailabilityFresh WaterRisk AssessmentMetalsWater Pollutants, ChemicalBioavailabilityChemical regulationMetalsWater quality guidelines

Identifiers

PMID31880836
PMCPMC7233455
OpenAlexW2998049166

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.