AlternativeMed
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.

Plus 6,743 TCM formulas connecting herbs together
Clear
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
Disease Ontology
3385
DisGeNET
C0085166
🔍 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 review
CRD42018115982 Lactic acid for the treatment of bacterial vaginosis and the impact of lactic ac
→ Bacterial vaginosis (BV) is the most common vagina
How relationships are computed
  • Clinical Trials / Meta-Analyses / References: direct foreign-key link via subject_entity_id (Phase 2d wireup)
  • Formula ↔ Herbs: text bridge via formulas.herbs_in_pinyin matching herbs.pinyin_name
  • Herb ↔ Ingredient: ACTIVE — direct link via herb_ingredients
  • Ingredient ↔ Target: ACTIVE — direct link via ingredient_targets
  • Target ↔ Disease: ACTIVE — direct link via target_health_topics
  • Herb → Target → Disease (full chemical spine): ACTIVE — joins all three link tables