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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Disease
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Evidence
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trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
🏥 Disease / Health Topic
Ascites
0
Clinical Trials
5
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42022341909
Diagnostic test accuracy of ascitic fluid adenosine deaminase for tuberculous peritonitis: A systematic review and meta-analysis
Tuberculous peritonitis is the most common cause of low albumin gradient ascites
CRD42017051440
Serum sodium as a drug evaluation biomarker for patients with worsening of heart failure and patients with cirrhotic ascites: a two-stage meta-analysis
Orally- and intravenously-administered non-peptide vasopressin antagonists devoi
CRD42021294026
不同中药注射液联合顺铂腹膜内灌注治疗癌性腹水的系统评价和网络荟萃分析
Cancerous ascites often indicates the recurrence, metastasis or advanced stage o
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Ascites
🏥 Names
Disease Name
Ascites
Alias Names
Ascites; Accumulation of Fluid In The Abdomen
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Disease or Syndrome
MeSH Class
Pathological Conditions, Signs and Symptoms
HPO Class
Abnormality of the digestive system
🔗 External References
🔍 Raw view — every non-empty column on this row (27 fields)
name
Ascites
alias name
Ascites; Accumulation of Fluid In The Abdomen
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Disease or Syndrome
mesh disease class
Pathological Conditions, Signs and Symptoms
hpo disease class
Abnormality of the digestive system
umls disease type id
T047
mesh disease class id
C23
hpo disease class id
HP:0025031
herb disease id
HBDIS000256
disgenet id
C0003962
mesh id
D001201
hpo id
HP:0001541
icd10 id
R18
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.