Evidence map›Paper›PMID 37063962›Full record

ArticleFrontiers in cardiovascular medicine2023

Dantrolene inhibits lysophosphatidylcholine-induced valve interstitial cell calcific nodule formation

Christopher B Sylvester, Farshad Amirkhosravi, Angelina S Bortoletto, William J West, Jennifer P Connell, K Jane Grande-Allen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 3 institutions in 1 country.

Christopher B SylvesterDepartment of Bioengineering, Rice University, Houston, TX, United States.
Farshad AmirkhosraviDepartment of Bioengineering, Rice University, Houston, TX, United States.
Angelina S BortolettoMedical Scientist Training Program, Baylor College of Medicine, Houston, TX, United States.
William J WestDepartment of Bioengineering, Rice University, Houston, TX, United States.
Jennifer P ConnellDepartment of Bioengineering, Rice University, Houston, TX, United States.
K Jane Grande-AllenDepartment of Bioengineering, Rice University, Houston, TX, United States.
Rice University · USBaylor College of Medicine · USMethodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calcific aortic valve disease (CAVD), a fibrocalcific thickening of the aortic valve leaflets causing obstruction of the left ventricular outflow tract, affects nearly 10 million people worldwide. For those who reach end-stage CAVD, the only treatment is highly invasive valve replacement. The development of pharmaceutical treatments that can slow or reverse the progression in those affected by CAVD would greatly advance the treatment of this disease. The principal cell type responsible for the fibrocalcific thickening of the valve leaflets in CAVD is valvular interstitial cells (VICs). The cellular processes mediating this calcification are complex, but calcium second messenger signaling, regulated in part by the ryanodine receptor (RyR), has been shown to play a role in a number of other fibrocalcific diseases. We sought to determine if the blockade of calcium signaling in VICs could ameliorate calcification in an

Indexed as

aortic valveapoptosiscalcific aortic valve diseasecalcificationdantrolenelysophosphatidylcholineryanodine receptorvalve interstitial cell

Identifiers

PMID37063962
PMCPMC10100588
OpenAlexW4361271824

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.