ArticleHeliyon2024
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Unveiling a novel pathway: Ginseng vanillic acid fights heart failure by coupling mitophagy to pyroptosis through the PINK1-BRCA1-NLRP3 axis.Journal of ginseng research · 2026Article
- CENP-A in cancer: from centromere identity to genome instability.Molecular biology reports · 2026Review
- Mediator complex: update of key insights into transcriptional regulation of ancestral framework and its role in cardiovascular diseases.European journal of medical research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart failure (HF) and cancer are the two leading causes of death worldwide and affect one another in a bidirectional way. We aimed to identify hub therapeutic genes as potential biomarkers for the identification and treatment of HF and cancer. Gene expression data of heart samples from patients with ischemic HF (IHF) and healthy controls were retrieved from the GSE42955 and GSE57338 databases. Difference analysis and weighted gene co-expression network analysis (WGCNA) were used to identify key modules associated with IHF. The overlapping genes were subjected to gene and protein enrichment analyses to construct a protein-protein interaction (PPI) network, which was screened for hub genes among the overlapping genes. A total of eight hub genes were subjected to correlation, immune cell infiltration, and ROC analyses. Then we analyzed the roles of two significant genes in 33 tumor types to explore their potential as common targets in HF and cancer. A total of 85 genes were identified by WGCNA and differentially expressed gene (DEG) analyses.
Identifiers
What OpenQuestion holds
Registered trials
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.