Evidence map›Paper›PMID 37680611›Full record

ArticleConservation physiology2023

Mussel mass mortality in the Clinch River, USA: metabolomics detects affected pathways and biomarkers of stress.

Joel G Putnam, John N Steiner, Jordan C Richard, Eric Leis, Tony L Goldberg, Christopher D Dunn, Rose Agbalog, Susan Knowles, Diane L Waller

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Conservation physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 10 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

9 authors at 4 institutions in 1 country.

Joel G PutnamConagen, Inc., 15 Deangelo Drive, Bedford, MA 01730, USA.ORCID https://orcid.org/0000-0002-5464-4587
John N SteinerUS Geological Survey, Upper Midwest Environmental Science Center, 2630 Fanta Reed Road, La Crosse WI 54603, USA.
Jordan C RichardUS Fish and Wildlife Service, Southwestern Virginia Field Office, 330 Cummings Street, Abingdon, VA 24210, USA.
Eric LeisUS Fish and Wildlife Service, Midwest Fisheries Center, La Crosse Fish Health Center, 555 Lester Ave., Onalaska, WI 54650, USA.
Tony L GoldbergDepartment of Pathobiological Sciences, University of Wisconsin-Madison, 1656 Linden Drive, Madison WI 53706, USA.
Christopher D DunnDepartment of Pathobiological Sciences, University of Wisconsin-Madison, 1656 Linden Drive, Madison WI 53706, USA.
Rose AgbalogUS Fish and Wildlife Service, Southwestern Virginia Field Office, 330 Cummings Street, Abingdon, VA 24210, USA.
Susan KnowlesUS Geological Survey, National Wildlife Health Center, 6006 Schroeder Rd., Madison, WI 53711, USA.
Diane L WallerUS Geological Survey, Upper Midwest Environmental Science Center, 2630 Fanta Reed Road, La Crosse WI 54603, USA.ORCID https://orcid.org/0000-0002-6104-810X
United States Fish and Wildlife Service · USUnited States Geological Survey · USUniversity of Wisconsin–Madison · USConagen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologists monitoring freshwater mussel (order Unionida) populations rely on behavioral, often subjective, signs to identify moribund ("sick") or stressed mussels, such as gaping valves and slow response to probing, and they lack clinical indicators to support a diagnosis. As part of a multi-year study to investigate causes of reoccurring mortality of pheasantshell (

Indexed as

hemolymphmetabolitesmussel die-offpheasantshellUnionida

Identifiers

PMID37680611
PMCPMC10482074
OpenAlexW4386467678

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.