Zobrazeno 1 - 10
of 315
pro vyhledávání: '"TNFi"'
Autor:
Philip J. Mease, Joseph F. Merola, Yoshiya Tanaka, Laure Gossec, Iain B. McInnes, Christopher T. Ritchlin, Robert B. M. Landewé, Akihiko Asahina, Barbara Ink, Andrea Heinrichs, Rajan Bajracharya, Vishvesh Shende, Jason Coarse, Laura C. Coates
Publikováno v:
Rheumatology and Therapy, Vol 11, Iss 5, Pp 1363-1382 (2024)
Abstract Introduction Psoriatic arthritis (PsA) is a chronic inflammatory disease requiring long-term treatment. Bimekizumab, a monoclonal IgG1 antibody that selectively inhibits interleukin (IL)-17F in addition to IL-17A, has demonstrated tolerabili
Externí odkaz:
https://doaj.org/article/4bbb5fc59b154e17b4cb6d05b6603d8e
Autor:
Sadettin Uslu, Semih Gulle, Gercek Sen, Ayse Cefle, Sema Yilmaz, Sinem Burcu Kocaer, Tuba Yuce Inel, Suleyman Serdar Koca, Servet Yolbas, Mehmet Akif Ozturk, Soner Senel, Nevsun Inanc, Huseyin Ediz Dalkilic, Ozgul Soysal Gunduz, Abdurrahman Tufan, Servet Akar, Ahmet Merih Birlik, Ismail Sari, Nurullah Akkoc, Fatos Onen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Clinical data on the use of tumour necrosis factor inhibitors (TNFi) in late-onset ankylosing spondylitis (LoAS) are limited. The present study aimed to evaluate efficacy, safety, and treatment adherence associated with the initial use of TN
Externí odkaz:
https://doaj.org/article/07ea3304416b46ad8c900013a1ca1f33
Autor:
Alexis Ogdie, Joseph F. Merola, Philip J. Mease, Christopher T. Ritchlin, Jose U. Scher, Kimberly Parnell Lafferty, Daphne Chan, Soumya D. Chakravarty, Wayne Langholff, Yanli Wang, Olivia Choi, Yevgeniy Krol, Alice B. Gottlieb
Publikováno v:
BMC Rheumatology, Vol 8, Iss 1, Pp 1-12 (2024)
Abstract Background Tumor necrosis factor inhibitors (TNFi) are frequently chosen as the first biologic for patients with psoriatic arthritis (PsA). Given that many patients with PsA are TNFi inadequate responders (TNF-IR; either inadequate efficacy
Externí odkaz:
https://doaj.org/article/8af8899c7fd64bf9a16ff7465d160dd3
Autor:
Walter P. Maksymowych, Robert D. Inman, Louis Bessette, Proton Rahman, Emmanouil Rampakakis, Odalis Asin-Milan, Meagan Rachich, Anne Marilise Marrache, Allen J. Lehman
Publikováno v:
Arthritis Research & Therapy, Vol 25, Iss 1, Pp 1-9 (2023)
Abstract Objectives To (i) determine whether sustained disease activity states, as measured by Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Disease Activity Score (ASDAS), impact function, and (ii) evaluate c
Externí odkaz:
https://doaj.org/article/9279f4b69de74911a73889114a9b86b8
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Michael V. Chiorean, Jessica R. Allegretti, Puza P. Sharma, Benjamin Chastek, Leonardo Salese, Elizabeth J. Bell, Jesse Peterson-Brandt, Joseph C. Cappelleri, Xiang Guo, Nabeel Khan
Publikováno v:
BMC Gastroenterology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Tofacitinib is an oral, small molecule JAK inhibitor for the treatment of UC. We aimed to describe the real-world treatment experience and corticosteroid utilisation of patients treated with tofacitinib in a US claims database. Me
Externí odkaz:
https://doaj.org/article/c135ecefb26f443b91dd22c714975ed3
Autor:
Shuhei Yoshida, Masashi Fujita, Teruhide Ishigame, Yasuyuki Kobayashi, Yuya Sumichika, Kenji Saito, Haruki Matsumoto, Jumpei Temmoku, Yuya Fujita, Naoki Matsuoka, Tomoyuki Asano, Shuzo Sato, Hiroshi Watanabe, Hiroshi Yoshida, Shigeru Marubashi, Yuko Hashimoto, Hiromasa Ohira, Kiyoshi Migita
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
The sequential progression from chronic liver disease to cirrhosis may be a risk factor for hepatocellular carcinoma (HCC) development. Although HCC originates from hepatitis B virus- or hepatitis C virus-associated liver cirrhosis, it has recently b
Externí odkaz:
https://doaj.org/article/2c44a71656334a14903be9f79ecc5140
Autor:
Seulkee Lee, Seonyoung Kang, Yeonghee Eun, Hong-Hee Won, Hyungjin Kim, Jaejoon Lee, Eun-Mi Koh, Hoon-Suk Cha
Publikováno v:
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-12 (2021)
Abstract Background Few studies on rheumatoid arthritis (RA) have generated machine learning models to predict biologic disease-modifying antirheumatic drugs (bDMARDs) responses; however, these studies included insufficient analysis on important feat
Externí odkaz:
https://doaj.org/article/2f16bd9de5574376b131133d508f920b