ArticleBioMed research international2022
Toll-Like Receptors/TNF-
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Adipocytokine Pathway Dysregulation Characterizes Immune-Related Molecular Subtypes and Candidate Biomarkers in Myocardial Infarction.Journal of inflammation research · 2026Article
- Taking its TOLL: the role of toll-like receptor 4 in human health and disease, and its potential as a therapeutic target.Frontiers in immunology · 2026Review
- Doxorubicin-Induced Cardiotoxicity: A Comprehensive Update.Journal of cardiovascular development and disease · 2025Review
- Cytosolic nucleic acid sensing as driver of critical illness: mechanisms and advances in therapy.Signal transduction and targeted therapy · 2025Review
- Levels of soluble tumor necrosis factor receptor 1 and 2 are associated with survival after ST segment elevation myocardial infarction.Scientific reports · 2022Article
- Construction of the ceRNA network in the progression of acute myocardial infarction.American journal of cardiovascular disease · 2022Article
- Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recurrent myocardial infarction is associated with increased mortality. Risk and predictive factors of recurrent myocardial infarction in elderly patients after coronary stenting are not well known. This research sought to investigate the effects of proinflammatory cytokines and toll-like receptor on recurrent myocardial infarction after coronary stenting in elderly patients. Methods: We measured the levels of toll-like receptor 2 (TLR2), toll-like receptor 3 (TLR3), toll-like receptor 4 (TLR4), tumor necrosis factor- Results: Levels of TLR2, TLR3, TLR4, TNF- Conclusion: The increase levels of proinflammatory cytokines and toll-like receptors were associated with recurrent myocardial infarction after coronary stenting. Increased expressions of proinflammatory cytokines and toll-like receptors may be clinically useful biomarkers for predicting recurrent myocardial infarction in the elderly patients after coronary stent implantation.
Indexed as
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.