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
Plus 6,743 TCM formulas connecting herbs together
🏥 Disease / Health Topic
Primary Physiologic Amenorrhea
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
🏥 All Disease / Health Topic data fields for Primary Physiologic Amenorrhea
🏥 Names
Disease Name
Primary Physiologic Amenorrhea
Alias Names
Primary Amenorrhoea; Primary Amenorrhea
Topic Type
syndrome
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Disease or Syndrome
MeSH Class
Pathological Conditions, Signs and Symptoms
HPO Class
Abnormality of the endocrine system; Abnormality of the genitourinary system
🔗 External References
🔍 Raw view — every non-empty column on this row (26 fields)
name
Primary Physiologic Amenorrhea
alias name
Primary Amenorrhoea; Primary Amenorrhea
topic type
syndrome
disgenet disease type
disease
umls disease type
Disease or Syndrome
mesh disease class
Pathological Conditions, Signs and Symptoms
hpo disease class
Abnormality of the endocrine system; Abnormality of the genitourinary system
umls disease type id
T047
mesh disease class id
C23
hpo disease class id
HP:0000119; HP:0000818
herb disease id
HBDIS004767
disgenet id
C0232939
hpo id
HP:0000786
icd10 id
N91.0
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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.