ClinicalTrials.gov
public full text
Public Domain
The Value of Pancreatic Stone Protein in Predicting Acute Appendicitis
PSP (Pancreatic Stone Protein) is a compound naturally produced mainly in the pancreas and the gut. There is evidence from experimental and clinical trials that the levels of PSP in the blood rise in the presence of inflammation or infection. What is not yet well known about PSP is whether it is superior to other established blood tests (e.g. WBC or CRP) in predicting appendicitis in patients that present at the emergency room with abdominal pain and a clinical suspicion of appendicitis.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Neutrophil Gelatinase Associated Lipocalin (NGAL) in Urine: Can This Prove to be a Biomarker for Acute Kidney Injury in Patients With Sepsis?#888134
- Clinical Usefulness of Cortisol, Antinuclear Antibodies and High-sensitivity C-reactive Protein in Acute Pancreatitis#1087284
- Evaluation of NT-proBNP in Chronic Inflammatory Bowel Disease#854471
- Ability of the triglyceride–glucose index and C-reactive protein-to-albumin ratio to predict severity of acute pancreatitis and 28-day mortality#1121211
- Evaluation of Post-ERCP Pain as a Predictor for Post-ERCP Pancreatitis#1074666
Record · ID 1088438
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive