Evidence map›Paper›PMID 36562491›Full record

ArticleEnvironmental toxicology and chemistry2023

Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes.

Samantha K Oliver, Steven R Corsi, Austin K Baldwin, Michele A Nott, Gerald T Ankley, Brett R Blackwell, Daniel L Villeneuve, Michelle L Hladik, Dana W Kolpin, Luke Loken and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Samantha K OliverUS Geological Survey, Upper Midwest Water Science Center, Wisconsin, Madison, USA.
Steven R CorsiUS Geological Survey, Upper Midwest Water Science Center, Wisconsin, Madison, USA.
Austin K BaldwinUS Geological Survey, Idaho Water Science Center, Idaho, Boise, USA.ORCID 0000-0002-6027-3823
Michele A NottUS Geological Survey, Upper Midwest Water Science Center, Wisconsin, Madison, USA.ORCID 0000-0003-3968-7586
Gerald T AnkleyUS Environmental Protection Agency, Great Lakes Ecology and Toxicology Division, Duluth, Minnesota, USA.
Brett R BlackwellUS Environmental Protection Agency, Great Lakes Ecology and Toxicology Division, Duluth, Minnesota, USA.ORCID 0000-0003-1296-4539
Daniel L VilleneuveUS Environmental Protection Agency, Great Lakes Ecology and Toxicology Division, Duluth, Minnesota, USA.ORCID 0000-0003-2801-0203
Michelle L HladikUS Geological Survey, Sacramento, California Water Science Center, California, USA.
Dana W KolpinUS Geological Survey, Iowa City, Iowa, USA.
Luke LokenUS Geological Survey, Upper Midwest Water Science Center, Wisconsin, Madison, USA.ORCID 0000-0003-3194-1498
Laura A DeCiccoUS Geological Survey, Upper Midwest Water Science Center, Wisconsin, Madison, USA.
Michael T MeyerUS Geological Survey, Kansas Water Science Center, Lawrence, Kansas, USA.
Keith A LoftinUS Geological Survey, Kansas Water Science Center, Lawrence, Kansas, USA.
United States Geological Survey · USEnvironmental Protection Agency · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity estimates (in vivo aquatic life benchmarks) and data from high-throughput screening (HTS) assays (in vitro benchmarks) to prioritize pesticides and sites of concern in streams at 16 tributaries to the Great Lakes Basin. In vivo or in vitro benchmark values were exceeded at 15 sites, 10 of which had exceedances throughout the year. Pesticides had the greatest potential biological impact at the site with the greatest proportion of agricultural land use in its basin (the Maumee River, Toledo, OH, USA), with 72 parent compounds or transformation products being detected, 47 of which exceeded at least one benchmark value. Our risk-based screening approach identified multiple pesticide parent compounds of concern in tributaries of the Great Lakes; these compounds included: eight herbicides (metolachlor, acetochlor, 2,4-dichlorophenoxyacetic acid, diuron, atrazine, alachlor, triclopyr, and simazine), three fungicides (chlorothalonil, propiconazole, and carbendazim), and four insecticides (diazinon, fipronil, imidacloprid, and clothianidin). We present methods for reducing the volume and complexity of potential biological effects data that result from combining contaminant surveillance with HTS (in vitro) and traditional (in vivo) toxicity estimates. Environ Toxicol Chem 2023;42:367-384. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Indexed as

HerbicidesInsecticidesPesticidesWater Pollutants, ChemicalEnvironmental MonitoringHumansLakesRiversHerbicidesInsecticidesPesticidesWater Pollutants, Chemicalbiological effectshigh-throughput screeningLaurentian Great LakesneonicotinoidsPesticides

Identifiers

PMID36562491
PMCPMC10107260
OpenAlexW4312101650

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.