Evidence map›Paper›PMID 30002488›Full record

ReviewActa pharmacologica Sinica2019

Wnt signaling pathways in myocardial infarction and the therapeutic effects of Wnt pathway inhibitors.

Wen-Bin Fu, Wei Eric Wang, Chun-Yu Zeng

Open access · hybridAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

60 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Cellular and molecular signals of cardiac wound healing after myocardial infarction.American journal of physiology. Heart and circulatory physiology · 2026
    Review
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  12. Heart failure, inflammation and exercise.International journal of biological sciences · 2025
    Review
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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

3 authors at 2 institutions in 1 country.

Wen-Bin FuDepartment of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Wei Eric WangDepartment of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. weiericwang@163.com.
Chun-Yu ZengDepartment of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Daping Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) is one of the most serious health threats, resulting in huge physical and economic burdens worldwide. Wnt signaling pathways play an important role in developmental processes such as tissue patterning, cell differentiation and cell division. Appropriate regulation of the activities of Wnt signaling pathways is also important for heart development and healing in post-MI heart. Moreover, Wnt pathway inhibitors have been identified as novel antitumor drugs and applied in ongoing clinical trials. This research progress has generated increasing interests for investigating the effects of Wnt pathway inhibitors on MI healing. In this short review, we summarize the roles of Wnt signaling pathways in post-MI heart and the therapeutic effects of Wnt pathway inhibitors on MI, and discuss the underlying mechanisms of Wnt pathway inhibitors in cardiac repairing.

Indexed as

AnimalsCardiotonic AgentsFibrosisHeartInflammationMyocardial InfarctionNeovascularization, PhysiologicWnt Signaling PathwayCardiotonic Agentscardiac repairingmyocardial infarctiontherapeutic effectWnt pathway inhibitors

Identifiers

PMID30002488
PMCPMC6318317
OpenAlexW2833096525

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.