A Novel Classification and Regression Tree-Driven Decision Tree Combining Neutrophil-to-Lymphocyte Ratio and C-reactive Protein for Early Prognostication of Severe Acute Pancreatitis: A Prospective Vietnamese Cohort Study

The CART-derived decision tree using NLR and CRP provides an accessible and reliable tool for early SAP prediction. With performance comparable with BISAP but requiring fewer resources, this model supports rapid, evidence-based decision-making in clinical practice.

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Publication Details

Journal
Clinical and Translational Gastroenterology
Published
2025-09-09
DOI
https://doi.org/10.14309/ctg.0000000000000919
Citations
2
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
4.01
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article

A Novel Classification and Regression Tree-Driven Decision Tree Combining Neutrophil-to-Lymphocyte Ratio and C-reactive Protein for Early Prognostication of Severe Acute Pancreatitis: A Prospective Vietnamese Cohort Study

Thong Duy Vo, An Tran, Tien Manh Huynh, Duy Thanh Tran et al.
2 citations
Clinical and Translational Gastroenterology
Pancreatitis Pathology and Treatment
4.01
article

A Novel Classification and Regression Tree-Driven Decision Tree Combining Neutrophil-to-Lymphocyte Ratio and C-reactive Protein for Early Prognostication of Severe Acute Pancreatitis: A Prospective Vietnamese Cohort Study

Thong Duy Vo, An Tran, Tien Manh Huynh, Duy Thanh Tran, Yen Hoang Thi Dao
article en
2 citations

Abstract

The CART-derived decision tree using NLR and CRP provides an accessible and reliable tool for early SAP prediction. With performance comparable with BISAP but requiring fewer resources, this model supports rapid, evidence-based decision-making in clinical practice.

Clinical and Translational GastroenterologyVol. 16(11)
Cho Ray Hospital (VN), University of Medicine and Pharmacy at Ho Chi Minh City (VN), Office of Readiness and Response (US), University Medical Center HCMC (VN), HCMC Hospital of Dermato Venereology (VN)
Openalex Percentile: Top 6%
Pancreatitis Pathology and Treatment
4.01
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