MIRKB

MIRKB consolidates curated risk factors and prediction models for myocardial infarction (MI) to support assessment, diagnosis, prognosis, and treatment research.

Key Features:

• Extensive data collection: As of July 5, 2019, MIRKB contains 8,436 entries extracted from 4,366 peer‑reviewed articles indexed in PubMed covering single factors, combined factors, and risk models relevant to MI.
• Categorization of single factors: Single factors are organized into molecular (2,356 entries for 649 factors), imaging (821 entries for 252 factors), physiological (1,566 entries for 219 factors), clinical (2,523 entries for 561 factors), and environmental/lifestyle/psychosocial (678 entries across 26 environmental, 65 lifestyle, and 75 psychosocial factors) categories.
• Combined factors and risk models: Includes 195 entries for 157 combined factors and 339 entries for 174 risk models.
• Coverage of clinical uses: Entries explicitly relate to assessment, diagnosis, prognosis, and treatment of myocardial infarction.

Scientific Applications:

• Systems biology analyses: Enables systems biology‑level studies of MI by aggregating diverse molecular, imaging, physiological, clinical, and environmental factors.
• Risk stratification: Facilitates identification and stratification of individuals at increased MI risk using curated single and combined factors and risk models.
• Mechanistic research: Supports investigation of mechanisms underlying MI genesis and progression by providing curated factor‑level evidence.
• Prevention and treatment research: Informs development and evaluation of prevention strategies and treatment‑related studies through compiled diagnostic and prognostic factors and models.

Methodology:

Systematic collection and classification of data from peer‑reviewed scientific literature indexed in PubMed.