Comparison of Glasgow coma scale, motor component, eye component, and simplified motor scale for predicting trauma outcomes: a 13-year multicenter retrospective cohort study

Authors

Institutions

Publication Details

Journal
BMC Emergency Medicine
Published
2025-05-30
DOI
https://doi.org/10.1186/s12873-025-01246-4
Citations
5
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
11.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Glasgow coma scale, motor component, eye component, and simplified motor scale for predicting trauma outcomes: a 13-year multicenter retrospective cohort study

Jui-Yuan Chung, Chi-Yuan Liu, Tsung-Hsien Wu, Yu Long Chen et al.
5 citations
BMC Emergency Medicine
Trauma and Emergency Care Studies
11.27
article

Comparison of Glasgow coma scale, motor component, eye component, and simplified motor scale for predicting trauma outcomes: a 13-year multicenter retrospective cohort study

Jui-Yuan Chung, Chi-Yuan Liu, Tsung-Hsien Wu, Yu Long Chen, Shu-Jui Lee, Chia-Hung Dylan Tsai, Chien-Hsing Wang, Giou‐Teng Yiang, Meng‐Yu Wu
article en
5 citations

Abstract

No abstract available for this paper.
BMC Emergency MedicineVol. 25(1)
Fu Jen Catholic University (TW), Tzu Chi University (TW), National Tsing Hua University (TW), Tzu Chi Foundation (TW), Taipei Tzu Chi Hospital (TW), Cathay General Hospital (TW), Buddhist Tzu Chi Medical Foundation (US), Taipei Medical University (TW)
Taipei Tzu Chi Hospital
Good health and well-being
Openalex Percentile: Top 2%
Trauma and Emergency Care Studies
11.27
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.