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.
🌿
Herb
6,826
→
⚗️
Ingredient
45,885
→
🧬
Gene Target
15,695
→
🏥
Disease
30,467
→
🧪
Evidence
23,241
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
🏥 Disease / Health Topic
Psychogenic Polydipsia
0
Clinical Trials
0
Meta-Analyses
0
PubMed References
🏥 All Disease / Health Topic data fields for Psychogenic Polydipsia
🏥 Names
Disease Name
Psychogenic Polydipsia
Alias Names
Polydipsia, Psychogenic
Topic Type
disease
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Mental or Behavioral Dysfunction
MeSH Class
Behavior and Behavior Mechanisms; Pathological Conditions, Signs and Symptoms
🔗 External References
🔍 Raw view — every non-empty column on this row (23 fields)
name
Psychogenic Polydipsia
alias name
Polydipsia, Psychogenic
topic type
disease
disgenet disease type
disease
umls disease type
Mental or Behavioral Dysfunction
mesh disease class
Behavior and Behavior Mechanisms; Pathological Conditions, Signs and Symptoms
umls disease type id
T048
mesh disease class id
F01; C23
herb disease id
HBDIS008755
disgenet id
C0395005
mesh id
D059607
No relationships found yet for this entity. Try picking one of the top-researched items above.
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.