Respondence of steroid predicts the long-term clinical and endoscopic prognosis in Cronkhite–Canada syndrome

The long-term clinical outcomes of CCS are relatively favorable in patients who responded well to steroid treatment. The low-dose steroid maintenance therapy may prevent re-relapse of disease among CCS patients.

Authors

Institutions

Publication Details

Journal
QJM
Published
2025-04-07
DOI
https://doi.org/10.1093/qjmed/hcaf088
Citations
1
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respondence of steroid predicts the long-term clinical and endoscopic prognosis in Cronkhite–Canada syndrome

Hao Tang, Chengzhu Ou, Yunfei Zhi, Tianming Xu et al.
1 citations
QJM
Genetic factors in colorectal cancer
1.47
article

Respondence of steroid predicts the long-term clinical and endoscopic prognosis in Cronkhite–Canada syndrome

Hao Tang, Chengzhu Ou, Yunfei Zhi, Tianming Xu, Dong Wu, Shuang Liu, Shengyu Zhang, Ji Li, Runfeng Zhang, Qiushi Xu, Jingnan Li, Gechong Ruan, Xuemin Yan
article en
1 citations

Abstract

The long-term clinical outcomes of CCS are relatively favorable in patients who responded well to steroid treatment. The low-dose steroid maintenance therapy may prevent re-relapse of disease among CCS patients.

QJMVol. 118(8)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Good health and well-being
Openalex Percentile: Top 21%
Genetic factors in colorectal cancer
1.47
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.