Relationship Graph Explorer
Follow the connections
Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.
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trials · metas · refs
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🏥 Disease / Health Topic
Myocardial Preinfarction Syndrome
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
🏥 All Disease / Health Topic data fields for Myocardial Preinfarction Syndrome
🏥 Names
Disease Name
Myocardial Preinfarction Syndrome
Alias Names
Intermediate Coronary Syndrome; Myocardial Preinfarction Syndrome; Angina, Unstable
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Disease or Syndrome
MeSH Class
Cardiovascular Diseases; Pathological Conditions, Signs and Symptoms
DO Class
disease of anatomical entity
🔗 External References
🔍 Raw view — every non-empty column on this row (26 fields)
name
Myocardial Preinfarction Syndrome
alias name
Intermediate Coronary Syndrome; Myocardial Preinfarction Syndrome; Angina, Unstable
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Disease or Syndrome
mesh disease class
Cardiovascular Diseases; Pathological Conditions, Signs and Symptoms
do disease class
disease of anatomical entity
umls disease type id
T047
mesh disease class id
C14; C23
do disease class id
DOID:7
herb disease id
HBDIS003425
disgenet id
C0086666
mesh id
D000789
do id
8805
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How to read these connections
Each box lists records connected to the one you are viewing, and says how the connection was made. A connection shows that two records are related in the source data. It does not show that something works, is safe or should be used, and a record with many connections is not necessarily better studied or more effective.
- Study records (trials, systematic reviews, publications): the study names this subject. Registered or ongoing studies have no results here, and animal or cell research does not show an effect in people.
- Source-database links (for example herb and compound, compound and gene target): taken from the imported databases and not independently checked by us.
- Name matches (for example formula and herb, or a condition named in a study): found by matching names, so they can be wrong. Treat them as leads, not findings.