Diagnostic criteria, severity classification and guidelines of localized scleroderma
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- Yoshihide Asano
- Department of Dermatology Faculty of Medicine The University of Tokyo Tokyo Japan
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- Manabu Fujimoto
- Department of Dermatology Faculty of Medicine, University of Tsukuba Ibaraki Japan
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- Osamu Ishikawa
- Department of Dermatology Graduate School of Medicine Gunma University Gunma Japan
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- Shinichi Sato
- Department of Dermatology Faculty of Medicine The University of Tokyo Tokyo Japan
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- Masatoshi Jinnin
- Department of Dermatology and Plastic Surgery Faculty of Life Sciences Kumamoto University Kumamoto Japan
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- Kazuhiko Takehara
- Department of Molecular Pathology of Skin Faculty of Medicine Institute of Medical, Pharmaceutical and Health Sciences Kanazawa University Ishikawa Japan
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- Minoru Hasegawa
- Department of Dermatology Division of Medicine, Faculty of Medical Sciences University of Fukui Fukui Japan
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- Toshiyuki Yamamoto
- Department of Dermatology School of Medicine Fukushima Medical University Fukushima Japan
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- Hironobu Ihn
- Department of Dermatology and Plastic Surgery Faculty of Life Sciences Kumamoto University Kumamoto Japan
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Abstract
<jats:title>Abstract</jats:title><jats:p>We established diagnostic criteria and severity classification of localized scleroderma because there is no established diagnostic criteria or widely accepted severity classification of the disease. Also, there has been no clinical guideline for localized scleroderma, so we established its clinical guideline ahead of all over the world. In particular, the clinical guideline was established by clinical questions based on evidence‐based medicine according to the New Minds Clinical Practice Guideline Creation Manual (version 1.0). We aimed to make the guideline easy to use and reliable based on the newest evidence, and to present guidance as specific as possible for various clinical problems in treatment of localized scleroderma.</jats:p>
Journal
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- The Journal of Dermatology
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The Journal of Dermatology 45 (7), 755-780, 2018-04-23
Wiley
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Keywords
Details
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- CRID
- 1360567185399004032
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- ISSN
- 13468138
- 03852407
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- Data Source
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- Crossref
- KAKEN