Evidence map›Paper›PMID 39619141›Full record

ArticleJACC. Basic to translational science2024

Pericardial Fluid of Patients With Coronary Artery Disease Can Drive Fibrosis Via TGF-Beta Pathway.

Ali Fatehi Hassanabad, Darrell D Belke, Paul M K Gordon, Guoqi Teng, Jameson A Dundas, Anna N Zarzycki, Jeannine Turnbull, Justin F Deniset, Paul W M Fedak

Abstract read
In one paragraph

Article in JACC. Basic to translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

9 authors.

Ali Fatehi HassanabadSection of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Darrell D BelkeMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Paul M K GordonCentre for Health Genomics and Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Guoqi TengMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Jameson A DundasMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Anna N ZarzyckiMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Jeannine TurnbullMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Justin F DenisetMarlene and Don Campbell Translational Research Laboratory, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
Paul W M FedakSection of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pericardial fluid (PF) is a rich reservoir of biologically active markers. The acellular compartment of PF can drive cardiac fibroblast activity in vitro. This process is mediated through the transforming growth factor-β pathway. Of clinical importance, the PF of patients with coronary artery disease has an increased profibrotic capacity compared with the PF of patients without coronary artery disease.

Indexed as

coronary artery diseasefibrosisgrowth factorsimmune mediatorspericardial fluid

Identifiers

PMID39619141
PMCPMC11604402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.