Development and validation of an early prediction model for hypertriglyceridaemic severe acute pancreatitis: a retrospective study

RR; D-D, BUN, and Ca<sup>2+</sup> levels; pH, and the presence of PN, PE, and PS are independent predictors of HTG-SAP. The prediction model developed based on these predictors highly consistent and practical for predicting HTG-SAP.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2026-01-20
DOI
https://doi.org/10.7717/peerj.20607
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of an early prediction model for hypertriglyceridaemic severe acute pancreatitis: a retrospective study

Xiao Xiao, Xiaoqiang Wan, Peng Peng, Cheng He et al.
PeerJ
Pancreatitis Pathology and Treatment
article

Development and validation of an early prediction model for hypertriglyceridaemic severe acute pancreatitis: a retrospective study

Xiao Xiao, Xiaoqiang Wan, Peng Peng, Cheng He, Chuanming Li, Wenxiu Li, Yongchao Wang, Jinrong Wu, Dianliang Fang, Yuzhi Cao
article en

Abstract

RR; D-D, BUN, and Ca<sup>2+</sup> levels; pH, and the presence of PN, PE, and PS are independent predictors of HTG-SAP. The prediction model developed based on these predictors highly consistent and practical for predicting HTG-SAP.

PeerJVol. 14
Chongqing Emergency Medical Center (CN)
Openalex Percentile: Top 83%
Pancreatitis Pathology and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.