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--- wiki:guide:research:search [2022/04/23 17:23]
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 Selecting several databases ensures that your search is comprehensive. A well-cited guide on how to conduct a systematic review of medical research suggests, at a minimum, a combination of PubMed, Embase, Web of Science, and Google Scholar.<sup>1</sup> Cochrane and Scopus are also common databases for biomedical systematic reviews.
-   * [[https://pubmed.ncbi.nlm.nih.gov/|PubMed]], which is free, is the most common database to use to search for biomedical and life sciences literature. PubMed will search for relevant words in the title and abstract but not in the full text. PubMed includes citations indexed in Medline, uploaded by journals, and archived in PubMed Central. The distinctions between PubMed, Medline, and PubMed Central are explained [[https://www.nlm.nih.gov/bsd/difference.html|here]].
+   * [[https://pubmed.ncbi.nlm.nih.gov/|PubMed]], which is free, is the most common search database for biomedical and life sciences literature. PubMed will search for relevant words in the title and abstract but not in the full text. PubMed includes citations indexed in Medline, uploaded by journals, and archived in PubMed Central. The distinctions between PubMed, Medline, and PubMed Central are explained [[https://www.nlm.nih.gov/bsd/difference.html|here]].
-  * [[https://www.embase.com/landing?status=grey|Embase]] is a subscription database maintained by Elsevier. It has comprehensive indexing and tagging of the biomedical literature.
+  * [[https://www.embase.com/landing?status=grey|Embase]] is a subscription database maintained by Elsevier. It provides comprehensive indexing and tagging of the biomedical literature.
   * [[https://www.webofscience.com/wos/woscc/basic-search|Web of Science]] is a subscription service run by Clarivate that indexes citations in several different science disciplines.
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 To prepare for screening, gather study metadata in an organized way. Searching or uploading searches to an AutoLit nest is an easy way to do this step, but downloading search metadata from the databases into a spreadsheet is also common. Most databases have an option to automatically download relevant information from search results.
-Metadata collected should include identifying information, such as DOI or PubMed ID, URL, author, and year, as well as information necessary for screening, such as title and abstract. If you are not using AutoLit, a system for removing duplicates and indicating screening status (i.e. included, excluded, or unscreened), exclusion reasons (for example, not relevant to the review topic, preclinical), and collecting full texts should be implemented.
+Collected metadata may include identifying information, such as DOI or PubMed ID, URL, author, and year, as well as information necessary for screening, such as title and abstract. If you are not using AutoLit in Nested Knowledge, a system should be implemented for removing duplicates, indicating screening status (i.e., included, excluded, or unscreened), providing exclusion reasons (for example, not relevant to the review topic, preclinical), and collecting full texts.
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