Evidence map›Paper›PMID 35629393›Full record

ArticleLife (Basel, Switzerland)2022

Data Mining Identifies

Markus Johansson, Benyapa Tangruksa, Sepideh Heydarkhan-Hagvall, Anders Jeppsson, Peter Sartipy, Jane Synnergren

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CCN proteins: opportunities for clinical studies-a personal perspective.Journal of cell communication and signaling · 2023
    Review
  6. 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.

Markus JohanssonSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.ORCID 0000-0002-5134-4749
Benyapa TangruksaSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
Sepideh Heydarkhan-HagvallSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
Anders JeppssonDepartment of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, SE-413 45 Gothenburg, Sweden.
Peter SartipySystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
Jane SynnergrenSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.

Funding

Foundation for Knowledge 20160294, 20160330, 20200014
6 · The paper itself

Abstract

Cardiac hypertrophy is a condition that may contribute to the development of heart failure. In this study, we compare the gene-expression patterns of our in vitro stem-cell-based cardiac hypertrophy model with the gene expression of biopsies collected from hypertrophic human hearts. Twenty-five differentially expressed genes (DEGs) from both groups were identified and the expression of selected corresponding secreted proteins were validated using ELISA and Western blot. Several biomarkers, including

Indexed as

biomarkercardiac hypertrophydisease modelendothelin-1stem cellstranscriptomics

Identifiers

PMID35629393
PMCPMC9147176

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.