Evidence map›Paper›PMID 35391841›Full record

ArticleFrontiers in cardiovascular medicine2022

Ginsenoside Rg2 Ameliorates Myocardial Ischemia/Reperfusion Injury by Regulating TAK1 to Inhibit Necroptosis.

Yao Li, Hao Hao, Haozhen Yu, Lu Yu, Heng Ma, Haitao Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Ginsenoside Rg2 fromMolecules (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Pharmaceutical Therapies for Necroptosis in Myocardial Ischemia-Reperfusion Injury.Journal of cardiovascular development and disease · 2023
    Review
  11. Article
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 1 country.

Yao LiClinical Medical College of Air Force, Anhui Medical University, Hefei, China.
Hao HaoDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Fourth Military Medical University, Xi'an, China.
Haozhen YuSchool of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, China.
Lu YuDepartment of Pathology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Heng MaDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Fourth Military Medical University, Xi'an, China.
Haitao ZhangClinical Medical College of Air Force, Anhui Medical University, Hefei, China.
Air Force Medical University · CNAir Force General Hospital PLA · CNAnhui Medical University · CNShaanxi University of Chinese Medicine · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necroptosis contribute to the pathogenesis of myocardial ischemia/reperfusion (MI/R) injury. Ginsenoside Rg2 has been reported to have cardioprotective effects against MI/R injury; however, the underlying mechanism remains unclear. This work aimed to investigate the effect of ginsenoside Rg2 on necroptosis induced by MI/R and to explore the mechanism. In this study, hypoxia/reoxygenation (H/R) injury model was established in H9c2 cells.

Indexed as

cardioprotection and ischemia-reperfusion injuryginsenoside Rg2myocardial ischemia/reperfusionnecroptosistransforming growth factor β activated kinase 1

Identifiers

PMID35391841
PMCPMC8981204
OpenAlexW4221024129

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.