Evidence map›Paper›PMID 32655778›Full record

ArticleAmerican journal of translational research2020

Two-layer regulation of

Zhi Chen, Wei-Hua Dong, Qi Wu, Jun Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  6. Embryonic Lethal Abnormal Visual-Like Protein 1 Aggravates Caerulein-Induced AR42J Cell Injury and Macrophage M1 Polarization to Accelerate Acute Pancreatitis by Upregulating TRAF6.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2025
    Article
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  10. The Role of MicroRNAs in Pancreatitis Development and Progression.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. 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

4 authors at 1 institution in 1 country.

Zhi ChenDepartment of Critical Care Medicine, Jiangxi Provincial People's Hospital Affiliated to Nanchang University Nanchang, Jiangxi, China.
Wei-Hua DongDepartment of Critical Care Medicine, Jiangxi Provincial People's Hospital Affiliated to Nanchang University Nanchang, Jiangxi, China.
Qi WuDepartment of Critical Care Medicine, Jiangxi Provincial People's Hospital Affiliated to Nanchang University Nanchang, Jiangxi, China.
Jun WangDepartment of General Surgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University Nanchang, Jiangxi, China.
Jiangxi Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation is a leading cause of severe acute pancreatitis (SAP). MicroRNAs (miRNAs) are emerging as important regulators involved in the pathogenesis of many diseases including pancreatitis. To identify miRNAs that contribute to the pathology of SAP, we carried out a miRNA-specific microarray analysis using the biopsies donated by SAP patients. We totally obtained 50 differentially expressed miRNAs, including 20 upregulated and 30 downregulated miRNAs, respectively. We focused our current study on revealing the downstream target and the upstream regulatory mechanism of miR-589-5p, the most downregulated miRNA in our candidate lists. Our prediction results indicated that miR-589-5p might target

Indexed as

miR-589-5pmiRNANF-kBServe acute pancreatitisTRAF6

Identifiers

PMID32655778
PMCPMC7344107
OpenAlexW3043716876

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.