Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection

Based on the degree of <i>H. pylori</i> infection in patients with upper gastrointestinal bleeding, combined with a number of clinical laboratory tests and clinical data, we developed a clinical model for predicting the risk of rebleeding in patients with upper gastrointestinal bleeding. It provides an early prediction of rebleeding during a patient's hospitalization and optimizes early intervention for patients to a certain extent. It provides a more concise, convenient and effective guidance scheme for small and medium-sized hospitals to make clinical decisions for UGIB patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2025-05-14
DOI
https://doi.org/10.3389/fmicb.2025.1510126
Citations
2
Primary Topic
Gastrointestinal Bleeding Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection

Xinglong Zhang, Wei Zang, Ting Jia, Zihan Lin et al.
2 citations
Frontiers in Microbiology
Gastrointestinal Bleeding Diagnosis and Treatment
3.62
article

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection

Xinglong Zhang, Wei Zang, Ting Jia, Zihan Lin, Yang Zhao
article en
2 citations

Abstract

Based on the degree of <i>H. pylori</i> infection in patients with upper gastrointestinal bleeding, combined with a number of clinical laboratory tests and clinical data, we developed a clinical model for predicting the risk of rebleeding in patients with upper gastrointestinal bleeding. It provides an early prediction of rebleeding during a patient's hospitalization and optimizes early intervention for patients to a certain extent. It provides a more concise, convenient and effective guidance scheme for small and medium-sized hospitals to make clinical decisions for UGIB patients.

Frontiers in MicrobiologyVol. 16
Sheng Jing Hospital (CN), Fourth Affiliated Hospital of China Medical University (CN), China Medical University (CN)
Openalex Percentile: Top 8%
Gastrointestinal Bleeding Diagnosis and Treatment
3.62
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.

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection — Xinglong Zhang, Wei Zang, et al. · Frontiers in Microbiology (2025) | TGRS Research Map | TGRS