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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">nnp</journal-id><journal-title-group><journal-title xml:lang="en">Neurology, Neuropsychiatry, Psychosomatics</journal-title><trans-title-group xml:lang="ru"><trans-title>Неврология, нейропсихиатрия, психосоматика</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2074-2711</issn><issn pub-type="epub">2310-1342</issn><publisher><publisher-name>"IMA-Press", LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14412/2074-2711-2020-1S-38-43</article-id><article-id custom-type="elpub" pub-id-type="custom">nnp-1401</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ</subject></subj-group></article-categories><title-group><article-title>Rehabilitation of patients with multiple sclerosis in terms of evidence-based medicine: techniques for digitizing the results</article-title><trans-title-group xml:lang="ru"><trans-title>Реабилитация пациентов с рассеянным склерозом с точки зрения доказательной медицины: методы оцифровки результатов</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рябов</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ryabov</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кафедра неврологии, нейрохирургии и медицинской генетики</p><p>117997, Москва, ул. Островитянова, 1</p></bio><bio xml:lang="en"><p>Department of Neurology, Neurosurgery, and Medical Genetics</p><p>1, Ostrovityanov St, Moscow 117997</p></bio><email xlink:type="simple">sergey.3r@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бойко</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Boyko</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кафедра неврологии, нейрохирургии и медицинской генетики;отдел нейроиммунологии</p><p>117997, Москва, ул. Островитянова, 1;117997, Москва, ул. Островитянова, 1, стр. 10</p></bio><bio xml:lang="en"><p>Department of Neurology, Neurosurgery, and Medical Genetics;Department of Neuroimmunology</p><p>1, Ostrovityanov St, Moscow 117997;1, Ostrovityanov St, Build. 10, Moscow 117997</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБОУ ВО «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Минздрава России;&#13;
ФГБУ «Федеральный центр мозга и нейротехнологий» ФМБА</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia; &#13;
Federal Center for the Brain and Neurotechnologies, Federal Medical Biological Agency of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>05</day><month>08</month><year>2020</year></pub-date><volume>12</volume><issue>1S</issue><issue-title>Спецвыпуск: рассеянный склероз</issue-title><fpage>38</fpage><lpage>43</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ryabov S.A., Boyko A.N., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Рябов С.А., Бойко А.Н.</copyright-holder><copyright-holder xml:lang="en">Ryabov S.A., Boyko A.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://nnp.ima-press.net/nnp/article/view/1401">https://nnp.ima-press.net/nnp/article/view/1401</self-uri><abstract><p>A number of clinical trials, reviews, and meta-analyses have been recently published, which show the effectiveness of rehabilitation in patients with multiple sclerosis (MS). It is necessary to investigate the evidence basis of various rehabilitation methods that have proven to be effective in the combination treatment of other neurological diseases. At the same time, the simple transfer of these methods to the practice of managing patients with MS may not only improve, but even worsen their condition. An important task is to analyze methods for evaluating the effectiveness of physical rehabilitation, which in some cases are not without drawbacks. Owing to up-to-date technologies, there are more accurate, clear, and informative analysis methods as numerical values, the use of which can most objectively evaluate the effectiveness of rehabilitation measures before and after their implementation, which is necessary to standardize rehabilitation algorithms in patients with MS.</p></abstract><trans-abstract xml:lang="ru"><p>В последние годы опубликован ряд клинических исследований, обзоров и метаанализов, показывающих эффективность реабилитации у пациентов с рассеянным склерозом (РС). Необходимо изучение доказательной базы различных методов реабилитации, хорошо зарекомендовавших себя в комплексном лечении другой неврологической патологии. В то же время простой перенос этих методов в практику ведения пациентов с РС может не только не улучшить, а даже ухудшить их состояние. Важной задачей является анализ методов оценки эффективности физической реабилитации, которые в ряде случаев не лишены недостатков. Благодаря современным технологиям появляются методы более точного, наглядного и информативного анализа в виде цифровых показателей, использование которых позволяет максимально объективно оценить эффективность реабилитационных мероприятий до и после их проведения, что необходимо для стандартизации алгоритмов реабилитации пациентов с РС.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>рассеянный склероз</kwd><kwd>реабилитация</kwd><kwd>методы оцифровки результатов</kwd><kwd>доказательная медицина</kwd></kwd-group><kwd-group xml:lang="en"><kwd>multiple sclerosis</kwd><kwd>rehabilitation</kwd><kwd>results digitizing techniques</kwd><kwd>evidence-based medicine</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Barten LJ, Allington DR, Procacci KA, Rivey MP. New approaches in the management of multiple sclerosis. 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