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
1 Diseases matching "Vaginosis, Bacterial"
🏥 Disease / Health Topic
Bacterial Vaginosis
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42018115982
Lactic acid for the treatment of bacterial vaginosis and the impact of lactic acid treatments on the vaginal microbiota: a systematic review
Bacterial vaginosis (BV) is the most common vaginal condition of reproductive ag
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Bacterial Vaginosis
🏥 Names
Disease Name
Bacterial Vaginosis
Alias Names
Vaginosis, Bacterial; Bacterial Vaginosis
Topic Type
syndrome
🧬 Ontology Classifications
DisGeNET Type
disease
UMLS Type
Disease or Syndrome
MeSH Class
Infections; Female Urogenital Diseases and Pregnancy Complications
DO Class
disease of anatomical entity
🔗 External References
🔍 Raw view — every non-empty column on this row (26 fields)
name
Bacterial Vaginosis
alias name
Vaginosis, Bacterial; Bacterial Vaginosis
topic type
syndrome
disgenet disease type
disease
umls disease type
Disease or Syndrome
mesh disease class
Infections; Female Urogenital Diseases and Pregnancy Complications
do disease class
disease of anatomical entity
umls disease type id
T047
mesh disease class id
C01; C13
do disease class id
DOID:7
herb disease id
HBDIS003254
disgenet id
C0085166
mesh id
D016585
do id
3385
📊 Meta-Analyses
1 · systematic reviewCRD42018115982 Lactic acid for the treatment of bacterial vaginosis and the impact of lactic ac
→ Bacterial vaginosis (BV) is the most common vagina
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.