Effectiveness and safety of upadacitinib retreatment after withdrawal in moderate-to-severe atopic dermatitis: a retrospective study

Retreatment with upadacitinib after withdrawal effectively improved clinical signs and pruritus in patients with AD, with a manageable safety profile, supporting its use for long-term management of AD.

Authors

Institutions

Publication Details

Journal
Clinical and Experimental Dermatology
Published
2024-10-08
DOI
https://doi.org/10.1093/ced/llae410
Citations
4
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
2.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effectiveness and safety of upadacitinib retreatment after withdrawal in moderate-to-severe atopic dermatitis: a retrospective study

Naoko Kanda, Hidehisa Saeki, Eita Fujimoto, Teppei Hagino
4 citations
Clinical and Experimental Dermatology
Dermatology and Skin Diseases
2.14
article

Effectiveness and safety of upadacitinib retreatment after withdrawal in moderate-to-severe atopic dermatitis: a retrospective study

Naoko Kanda, Hidehisa Saeki, Eita Fujimoto, Teppei Hagino
article en
4 citations

Abstract

Retreatment with upadacitinib after withdrawal effectively improved clinical signs and pruritus in patients with AD, with a manageable safety profile, supporting its use for long-term management of AD.

Clinical and Experimental DermatologyVol. 50(4)
Fujimoto Dental and Oral Surgery Clinic (JP), Chiba Hokusou Hospital (JP), Nippon Medical School (JP)
Good health and well-being
Openalex Percentile: Top 12%
Dermatology and Skin Diseases
2.14
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.