Повышение качества отчетов о наблюдательных исследованиях в эпидемиологии (STROBE): разъяснения и уточнения

Большинство медицинских исследований являются наблюдательными (observational). Сообщения о таких исследованиях часто невысокого качества, что затрудняет оценку сильных и слабых сторон работы, а также обобщаемости (generalisability) ее результатов. Принимая во внимание эмпирические свидетельства и теоретические соображения, группа методологов, исследователей и научных редакторов разработала рекомендации «Повышение качества отчетов о наблюдательных исследованиях в эпидемиологии (STROBE): разъяснения и уточнения». Рекомендации STROBE содержат 22 пункта, связанных с оформлением следующих разделов научных статей: название, аннотация, введение, методы, результаты и их обсуждение, при этом 18 пунктов являются общими для когортных исследований (cohort studies), исследований «случай-контроль» (case-control studies) и одномоментных исследований (cross-sectional studies); 4 пункта специфичны для каждого из указанных дизайнов исследований (study designs). STROBE — руководство для авторов, необходимое для повышения качества отчетов о наблюдательных исследованиях, облегчающее критическую оценку исследования и его интерпретацию рецензентами, редакторами журналов и читателями. Цель этой разъясняющей и уточняющей статьи — способствовать более широкому применению, пониманию и распространению стандартов STROBE. В ней даются разъяснение смысла и обоснование применения каждого пункта руководства (checklist). По каждому пункту приводятся один или несколько опубликованных примеров правильного представления исследований и, при возможности, библиографические ссылки на подходящие эмпирические исследования и методологическую литературу. Представлены примеры потоковых диаграмм (flow diagrams) для описания последовательности исследования. Рекомендации STROBE, настоящая статья и соответствующий веб-сайт (http://www.strobe-statement.org/) должны стать полезным источником для повышения качества отчетов о результатах наблюдательных исследований.

Настоящая статья является переводом оригинальной публикации под редакцией д.м.н. Р.Т. Сайгитова. Перевод впервые опубликован в Digital Diagnostics. doi: 10.17816/DD70821. Публикуется с незначительными изменениями, связанными с литературным редактированием текста перевода.

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