Siponimod for relapsing-remitting multiple sclerosis: a single-center, real-world cohort study in China

Siponimod was associated with reduced relapse activity and stable disability in patients with RRMS and may provide potential cognitive benefit. Given the high incidence of lymphopenia, close monitoring of peripheral lymphocyte counts is warranted.

Authors

Institutions

Publication Details

Journal
BMC Neurology
Published
2026-02-18
DOI
https://doi.org/10.1186/s12883-026-04727-6
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Siponimod for relapsing-remitting multiple sclerosis: a single-center, real-world cohort study in China

Chao Quan, Hongmei Tan, Chuanzhen Lu, Yue Gao et al.
BMC Neurology
Multiple Sclerosis Research Studies
article

Siponimod for relapsing-remitting multiple sclerosis: a single-center, real-world cohort study in China

Chao Quan, Hongmei Tan, Chuanzhen Lu, Yue Gao, Qiang Dong, Lei Zhou, Jingzi ZhangBao, Chongbo Zhao
article en

Abstract

Siponimod was associated with reduced relapse activity and stable disability in patients with RRMS and may provide potential cognitive benefit. Given the high incidence of lymphopenia, close monitoring of peripheral lymphocyte counts is warranted.

BMC NeurologyVol. 26(1)
National Clinical Research Center for Digestive Diseases (CN), National Institute of Neurological Disorders and Stroke (US), Huashan Hospital (CN)
Openalex Percentile: Top 53%
Multiple Sclerosis Research Studies
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.