IBD-related disability among patients with ulcerative colitis in China: a cross-sectional study

This study revealed a significant level of disability among the Chinese UC population. Several clinical factors were identified to affect the level of disability, notably the risk factors including BMI, disease severity, fatigue, and depression.

Authors

Institutions

Publication Details

Journal
Therapeutic Advances in Gastroenterology
Published
2025-04-30
DOI
https://doi.org/10.1177/17562848251333989
Citations
1
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
1.82

Funders

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

IBD-related disability among patients with ulcerative colitis in China: a cross-sectional study

Hong Shen, Seung‐Kee Min, Mengyuan Zhang, Xiaojuan Liu et al.
1 citations
Therapeutic Advances in Gastroenterology
Inflammatory Bowel Disease
1.82
article

IBD-related disability among patients with ulcerative colitis in China: a cross-sectional study

Hong Shen, Seung‐Kee Min, Mengyuan Zhang, Xiaojuan Liu, Lei Zhu
article en
1 citations

Abstract

This study revealed a significant level of disability among the Chinese UC population. Several clinical factors were identified to affect the level of disability, notably the risk factors including BMI, disease severity, fatigue, and depression.

Therapeutic Advances in GastroenterologyVol. 18
Nanjing University of Chinese Medicine (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 16%
Inflammatory Bowel Disease
1.82
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.