Evidence map›Paper›PMID 37623879›Full record

ArticleMetabolites2023

Accumulation of Linoleic Acid by Altered Peroxisome Proliferator-Activated Receptor-α Signaling Is Associated with Age-Dependent Hepatocarcinogenesis in

Xiaoyang Zhu, Qing Liu, Andrew D Patterson, Arun K Sharma, Shantu G Amin, Samuel M Cohen, Frank J Gonzalez, Jeffrey M Peters

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

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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

8 authors at 3 institutions in 1 country.

Xiaoyang ZhuDepartment of Veterinary and Biomedical Science, The Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, State College, PA 16802, USA.ORCID 0000-0001-7796-835X
Qing LiuDepartment of Veterinary and Biomedical Science, The Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, State College, PA 16802, USA.
Andrew D PattersonDepartment of Veterinary and Biomedical Science, The Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, State College, PA 16802, USA.ORCID 0000-0003-2073-0070
Arun K SharmaDepartment of Pharmacology, The Pennsylvania State University, Hershey, PA 17033, USA.ORCID 0000-0002-7679-7779
Shantu G AminDepartment of Pharmacology, The Pennsylvania State University, Hershey, PA 17033, USA.
Samuel M CohenDepartment of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0002-5047-0962
Frank J GonzalezLaboratory of Metabolism, National Cancer Institute, Bethesda, MD 20892, USA.
Jeffrey M PetersDepartment of Veterinary and Biomedical Science, The Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, State College, PA 16802, USA.
Pennsylvania State University · USNational Cancer Institute · USUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term ligand activation of PPARα in mice causes hepatocarcinogenesis through a mechanism that requires functional PPARα. However, hepatocarcinogenesis is diminished in both

Indexed as

CD4+ T cellhepatocarcinogenesislinoleic acidperoxisome proliferator-activated receptor-α (PPARα)senescence

Identifiers

PMID37623879
PMCPMC10456914
OpenAlexW4385892277

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.