Persistent stress hyperglycemia trajectories predict mortality in sepsis: a machine learning-enhanced cohort study

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2026-01-08
DOI
https://doi.org/10.1186/s12879-025-12467-0
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Persistent stress hyperglycemia trajectories predict mortality in sepsis: a machine learning-enhanced cohort study

Ling Lin, Wei Ni, Songzan Qian, Yiyi Shi et al.
BMC Infectious Diseases
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Persistent stress hyperglycemia trajectories predict mortality in sepsis: a machine learning-enhanced cohort study

Ling Lin, Wei Ni, Songzan Qian, Yiyi Shi, Rui Zheng
article en

Abstract

No abstract available for this paper.
BMC Infectious DiseasesVol. 26(1)
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Sir Run Run Shaw Hospital (CN), Zhejiang University (CN)
Openalex Percentile: Top 96%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
DOIOpen Access PDFOpenAlex
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.