ArticleDatabase : the journal of biological databases and curation2019
MIRKB: a myocardial infarction risk knowledge base.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Examining the mediating role of resilience in the relationship between spiritual health and self-efficacy in elderly patients with myocardial infarction.BMC geriatrics · 2025Article
- Predictors of Acute Myocardial Infarction: A Machine Learning Analysis After a 7-Year Follow-Up.Clinics and practice · 2025Article
- Vascularization, Innervation, and Inflammation: Pathways Connecting the Heart-Brain Axis and Implications in a Clinical Setting.Biomedicines · 2025Review
- Article
- PPCRKB: a risk factor knowledge base of postoperative pulmonary complications.Database : the journal of biological databases and curation · 2024Article
- Revascularization Modalities in Acute Coronary Syndrome: A Review of the Current State of Evidence.Cureus · 2023Review
- Silent Myocardial Infarction: A Case Report.Cureus · 2023Article
- NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases.Journal of advanced research · 2022Article
- MIKB: A manually curated and comprehensive knowledge base for myocardial infarction.Computational and structural biotechnology journal · 2021Article
- An update on the CHDGKB for the systematic understanding of risk factors associated with non-syndromic congenital heart disease.Computational and structural biotechnology journal · 2021Article
- Galangin Attenuates Isoproterenol-Induced Inflammation and Fibrosis in the Cardiac Tissue of Albino Wistar Rats.Frontiers in pharmacology · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression.
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.