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1 Diseases matching "Abdominal mass"
🏥 Disease / Health Topic

Abdominal Mass

0
Clinical Trials
2
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42021258868
Network meta-analysis of six kinds of Chinese patent medicines combined with mifepristone in the treatment of uterine fibroids: a protocol for systematic review and network meta-analysis
Uterine fibroids is a benign tumor, which belongs to the category of ' abdominal
CRD42021258868
Network meta-analysis of six kinds of Chinese patent medicines combined with mifepristone in the treatment of uterine fibroids: a protocol for systematic review and network meta-analysis
Uterine fibroids is a benign tumor, which belongs to the category of ' abdominal
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Abdominal Mass
🏥 Names
Disease Name
Abdominal Mass
Alias Names
Abdominal Mass
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Finding
MeSH Class
Digestive System Diseases
HPO Class
Abnormality of the digestive system
🔗 External References
DisGeNET
C0000734
🔍 Raw view — every non-empty column on this row (25 fields)
name
Abdominal Mass
alias name
Abdominal Mass
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Finding
mesh disease class
Digestive System Diseases
hpo disease class
Abnormality of the digestive system
umls disease type id
T033
mesh disease class id
C06
hpo disease class id
HP:0025031
herb disease id
HBDIS000004
disgenet id
C0000734
hpo id
HP:0031500

📊 Meta-Analyses

2 · systematic review
CRD42021258868 Network meta-analysis of six kinds of Chinese patent medicines combined with mif
→ Uterine fibroids is a benign tumor, which belongs
CRD42021258868 Network meta-analysis of six kinds of Chinese patent medicines combined with mif
→ Uterine fibroids is a benign tumor, which belongs
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