Supplemental material
Modern Rheumatology
Volume 31, 2021 - Issue 1
Open access
4,194
Views
12
CrossRef citations to date
0
Altmetric
Connective tissue diseases and related disorders
Nintedanib in patients with systemic sclerosis-associated interstitial lung disease: A Japanese population analysis of the SENSCIS trial
Masataka Kuwanaa Department of Allergy and Rheumatology, Nippon Medical School, Graduate School of Medicine, Tokyo, JapanCorrespondence[email protected]
https://orcid.org/0000-0001-8352-6136View further author information
, https://orcid.org/0000-0001-8352-6136View further author information
Takashi Ogurab Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, JapanView further author information
, Shigeki Makinoc Osaka Medical College Mishima Minami Hospital, Osaka, JapanView further author information
, Sakae Hommad Department of Advanced and Integrated Interstitial Lung Diseases Research, Toho University, Tokyo, JapanView further author information
, Yasuhiro Kondohe Department of Respiratory Medicine and Allergy, Tosei General Hospital, Aichi, JapanView further author information
, Aiko Saitof Nippon Boehringer Ingelheim Co. Ltd, Tokyo, JapanView further author information
, Hiroyuki Ugaif Nippon Boehringer Ingelheim Co. Ltd, Tokyo, JapanView further author information
, Martina Gahlemanng Boehringer Ingelheim (Schweiz) GmbH, Basel, SwitzerlandView further author information
, Kazuhiko Takeharah Department of Dermatology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, JapanView further author information
& Arata Azumai Department of Pulmonary, Infection and Oncology, Nippon Medical School, Graduate School of Medicine, Tokyo, JapanView further author information
show all
Pages 141-150
|
Received 09 Jan 2020, Accepted 20 Mar 2020, Published online: 23 Apr 2020
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.