Evidence map›Paper›PMID 34799782›Full record

ArticleEnvironmental monitoring and assessment2021

Characterization of polycyclic aromatic hydrocarbons in the Great Lakes Basin using dreissenid mussels.

Kimani Kimbrough, Annie Jacob, Seann Regan, Erik Davenport, Michael Edwards, A K Leight, Amy Freitag, Mary Rider, W Edward Johnson

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Kimani KimbroughNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA. kimani.kimbrough@noaa.gov.ORCID http://orcid.org/0000-0002-0926-5633
Annie JacobConsolidated Safety Services, 10301 Democracy Lane, Suite 300, Fairfax, VA, 22030, USA.
Seann ReganConsolidated Safety Services, 10301 Democracy Lane, Suite 300, Fairfax, VA, 22030, USA.
Erik DavenportNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA.
Michael EdwardsNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA.
A K LeightNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA.
Amy FreitagNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA.
Mary RiderConsolidated Safety Services, 10301 Democracy Lane, Suite 300, Fairfax, VA, 22030, USA.
W Edward JohnsonNational Ocean Service, National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 1305 East West Highway, Silver Spring, N/SCI1MD, 20910, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Oceanic and Atmospheric Administration (NOAA), National Centers for Coastal Ocean Science (NCCOS) Mussel Watch Program (MWP), conducts basin-wide monitoring and place-based assessments using dreissenid mussels as bioindicators of chemical contamination in the Laurentian Great Lakes. Polycyclic aromatic hydrocarbons (PAHs) body burden results for the period 2009-2018 were combined into one dataset from multiple MWP studies allowing for a robust characterization of PAH contamination. Patterns in PAH data were identified using descriptive statistics and machine learning techniques. Relationships between total PAH concentration in dreissenid mussel tissue, impervious surface percentages, and PAH relative concentration were identified and used to build a predictive model for the Great Lakes Basin. Significant positive correlation was identified by the Spearman's rank correlation test between total PAH concentration and percent impervious surface. The findings support the paradigm that PAHs are primarily derived from land-based sources. Offshore and riverine locations had the lowest and highest median total PAH concentrations, respectively. PAH assemblages and ratios indicated that pyrogenic sources were more predominant than petrogenic sources and that PAHs at offshore sites exhibited relatively more weathering compared to inshore sites.

Indexed as

BivalviaPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalAnimalsEnvironmental MonitoringGeologic SedimentsLakesPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalDreissenid musselLaurentian Great LakesPAH

Identifiers

PMID34799782
PMCPMC8604852

What OpenQuestion holds

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LicenceCC BY
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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.