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--- wiki:guide:research:search [2022/04/23 17:29]
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+++ wiki:guide:research:search [2022/05/17 02:07] (current)
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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 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 provides comprehensive indexing and tagging of the biomedical literature.
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   * [[https://www.scopus.com/|Scopus]] is the largest abstract and citation database of peer-reviewed literature. It includes scientific journals, books, and conference proceedings.
+  * [[https://www.clinicaltrials.gov/|ClinicalTrials.gov]] will allow you to assess whether clinical trials have been performed on your topic of interest.
   * Psychology databases
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 ===== Collecting Metadata =====
-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.
+To prepare for screening, gather study metadata in an organized way. Although searching or uploading searches to an AutoLit nest is an easy way to perform this step, 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.
-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.
+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, and collecting full texts.
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   - Muka T, Glisic M, Milic J, et al. A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research. CKGE_TMP_i Eur J Epidemiol CKGE_TMP_i . 2020;35(1):49-60. doi:10.1007/s10654-019-00576-5
- --- //[[tiffanyyesavage@supedit.com|Tiffany Yesavage]] 2022/04/23 17:22//

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