Evidence map›Paper›PMID 35295121›Full record

ArticleFrontiers in toxicology2021

Concurrent Evaluation of Mortality and Behavioral Responses: A Fast and Efficient Testing Approach for High-Throughput Chemical Hazard Identification.

Preethi Thunga, Lisa Truong, Robyn L Tanguay, David M Reif

Open access · goldAbstract read
In one paragraph

Article in Frontiers in toxicology, 2021. 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
0.6field-weighted citation impact, top 35% 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, 8 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

4 authors at 2 institutions in 1 country.

Preethi ThungaDepartment of Biological Sciences, Bioinformatics Research Center, North Carolina State University, Raleigh, NC, United States.
Lisa TruongSinnhuber Aquatic Research Laboratory, Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States.
Robyn L TanguaySinnhuber Aquatic Research Laboratory, Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States.
David M ReifDepartment of Biological Sciences, Bioinformatics Research Center, North Carolina State University, Raleigh, NC, United States.
North Carolina State University · USOregon State University · US

Funding

Research Experience and Training Coordination CoreP42ES016465 · NIEHS · OREGON STATE UNIVERSITY · PI Robyn L Tanguay · 2009 to 2026
$52.5M
Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
Zebrafish Biomedical Research Facility CoreP30ES030287 · NIEHS · OREGON STATE UNIVERSITY · PI Molly L Kile · 2020 to 2026
$9.8M
Uncovering the Mechanisms of PFAS-induced ImmunotoxicityP42ES031009 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HOPPIN, JANE · 2020 to 2024
$9.3M
EPA R839481NIEHS NIH HHS P30 ES025128NIEHS NIH HHS P30 ES030287NIEHS NIH HHS P42 ES016465NIEHS NIH HHS P42 ES031009
6 · The paper itself

Abstract

The continual introduction of new chemicals into the market necessitates fast, efficient testing strategies for evaluating their toxicity. Ideally, these high-throughput screening (HTS) methods should capture the entirety of biological complexity while minimizing reliance on expensive resources that are required to assess diverse phenotypic endpoints. In recent years, the zebrafish (

Indexed as

chemical hazard assessmenthazard identificationhigh-throughput screenin vivo screeningzebrafish behaviorzebrafish neurotoxicity

Identifiers

PMID35295121
PMCPMC8915815
OpenAlexW3165899137

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.