Evidence map›Paper›PMID 35178301›Full record

ArticlePeerJ2022

Peng Ji, Hongyuan Li, Yushan Jin, Yinghua Peng, Lihui Zhao, Xiaohui Wang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Baicalein fromFrontiers in pharmacology · 2025
    Article
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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

6 authors at 5 institutions in 2 countries.

Peng Ji *College of Life Science and Technology, Changchun University of Science and Technology, Changchun, China.
Hongyuan Li *Laboratory of Chemical Biology, Changchun Institute of Applied Chemistry (CIAC), Chinese Academy of Sciences (CAS), Changchun, China.
Yushan JinDepartment of Immunology and Department of Cell & Systems Biology, University of Toronto, Toronto, Canada.
Yinghua PengKey Laboratory of Special Animal Molecular Biology of Jilin Province, Specialty Research Institute of Chinese Academy of Agricultural Sciences, Changchun, China.
Lihui ZhaoCollege of Life Science and Technology, Changchun University of Science and Technology, Changchun, China.
Xiaohui WangLaboratory of Chemical Biology, Changchun Institute of Applied Chemistry (CIAC), Chinese Academy of Sciences (CAS), Changchun, China.
Changchun University of Science and Technology · CNChangchun Institute of Applied Chemistry · CNInstitute of Special Animal and Plant Sciences · CNUniversity of Science and Technology of China · CNUniversity of Toronto · CA

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

backgroundParaquat (PQ) is an effective and widely used herbicide and causes numerous fatalities by accidental or voluntary ingestion. However, neither the final cytotoxic mechanism nor effective treatments for PQ poisoning have been discovered. Phenotypic drug discovery (PDD), which does not rely on the molecular mechanism of the diseases, is having a renaissance in recent years owing to its potential to address the incompletely understood complexity of diseases. Herein, the

methods

resultsIn the

conclusionHere we established a

Indexed as

HerbicidesPulmonary EdemaAcute Lung InjuryAnimalsCaenorhabditis elegansLungMiceParaquatReactive Oxygen SpeciesHerbicidesParaquatReactive Oxygen SpeciesC. elegansCoenzyme Q10ParaquatPhenotypic drug discovery

Identifiers

PMID35178301
PMCPMC8815376
OpenAlexW4210633927

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.