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Identifying a Topic and Conducting the Literature Search
Published in Lisa Chasan-Taber, Writing Grant Proposals in Epidemiology, Preventive Medicine, and Biostatistics, 2022
The first step is identifying the correct database to search. Typically, for proposals in epidemiology and preventive medicine, PubMed which encompasses the MEDLINE database is the primary choice (https://www.ncbi.nlm.nih.gov/pmc/about/intro/). PubMed is a free resource supporting the search and retrieval of biomedical and life sciences literature. PubMed facilitates searching across several National Library of Medicine (NLM) literature resources including MEDLINE. The PubMed database contains more than 32 million citations and abstracts of biomedical literature. It does not include full-text journal articles; however, links to the full text are often present when available from other sources, such as the publisher's website or PubMed Central (PMC). For some epidemiologic studies that involve a psychosocial exposure or outcome, the database PsycINFO may also be relevant. Google Scholar or Lexus/Nexus may also be useful. Refer to your library's website for a description of the searchable databases to which your institution has access or contact a reference librarian for further assistance.
Researching Medical Literature and Other Information
Published in Julie Dickinson, Anne Meyer, Karen J. Huff, Deborah A. Wipf, Elizabeth K. Zorn, Kathy G. Ferrell, Lisa Mancuso, Marjorie Berg Pugatch, Joanne Walker, Karen Wilkinson, Legal Nurse Consulting Principles and Practices, 2019
PubMed is a Web-based retrieval system developed by the National Center for Biotechnology Information at the NLM. It is the NLM’s premier search system for health information available online without charge. Assistance for searching PubMed is easily accessible and offered with links to an online tutorial, overview of PubMed, Help, and frequently asked questions.
The role of the peer review process
Published in Frank Wells, Michael Farthing, Fraud and Misconduct in Biomedical Research, 2019
Several electronic tools for systematic verification of the originality of work presented in a paper are available (Box 10.5). The simplest tool, albeit the least sensitive and specific, is a PubMed search including the name(s) of the author(s) and keywords. Such a search may retrieve publications with similar content and, in combination with the ‘Related Articles’ feature of PubMed, often reveals repetitive publications from the same author.13 A more sensitive tool for searching PubMed is eTBLAST, free software that searches PubMed not for key words but for sections of text, and returns PubMed abstracts that are similar to text paragraphs entered into a search.31 The disadvantage of this approach is that it detects text similarities only in abstracts in PubMed and not in the full texts of articles. Another freely available software is WCopyfind, which compares two texts and calculates the percentage of word strings, usually longer than 6 words.31 There are several commercial plagiarism programs, which may be available to journals affiliated with academic institutions, as many universities use plagiarism software to detect and prevent plagiarism among students.
Scoping Review of Cannabis-Reduction Psychosocial Interventions and Reasons for Use among Young Adults with Psychosis
Published in Journal of Dual Diagnosis, 2023
Ryan Petros, Denise D. Walker, Adam Pierce, Maria Monroe-DeVita
The review was conducted according to protocols delineated in the scoping review extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) (Tricco et al., 2018). The search protocol was not registered before conducting the search. We have included the full search strings for each database in Table 1 to increase transparency of our methods. The research team partnered with University of Washington librarian, Lynly Beard, to conduct a search of English-language literature on December 15th, 2022 using three databases: PubMed, Embase, and PsycINFO. PubMed is a free search engine that broadly includes biomedical and life sciences literature. Embase covers an international collection of biomedical and clinical services research. PsycINFO includes academic and practice research in behavioral health disciplines. The team reasoned that these three databases would identify relevant literature published domestically and internationally in biomedical and behavioral health journals, including open access sources.
Current evidence of COVID-19 vaccination-related cardiovascular events
Published in Postgraduate Medicine, 2023
Sajad Khiali, Afra Rezagholizadeh, Hossein Behzad, Hossein Bannazadeh Baghi, Taher Entezari-Maleki
We have done a literature search through PubMed, Scopus, Google Scholar, and Web of Science databases to gather the relevant articles from the database inception to 4 December 2022. Additional research was done through clinicaltrials.gov, the world health organization (WHO), and The United States food and drug administration (FDA) websites. The PICO process (Population, Intervention, Comparison, and Outcomes) was adopted to define inclusion and exclusion criteria. Additionally, we used the PubMed database and the PICO model to select the study’s keywords and plan the concept map. We have used (‘COVID-19’ OR ‘2019-nCoV’ OR ‘SARS-CoV-2’ OR ‘COVID-19’) AND (vaccine Filters: from 2020/1/1 to 2022/12/04) AND (‘Cardiovascular’ OR ‘Cardiac’ OR ‘Vascular’ Filters: from 2020/1/1 to 2022/12/04) AND (‘Adverse reaction*’ OR ‘Side effect*’ OR ‘Adverse event*’ Filters: from 2020/1/1 to 2022/12/04) as our search terms. Moreover, in order to stay updated about new research, we set the weekly updates alarm of PubMed for the final search (#5). The characteristics and key outcomes of the included studies are presented in Tables 1–4.
A scoping review of asthma and machine learning
Published in Journal of Asthma, 2023
Ulfat A. Khanam,, Zhiwei Gao,, Darryl Adamko,, Anthony Kusalik,, Donna C. Rennie,, Donna Goodridge,, Luan Chu,, Joshua A. Lawson,
We performed a comprehensive literature search between December 2019 and February 2020 using three electronic databases: PubMed, ProQuest, and Embase Scopus databases. We searched again in September 2020 to obtain more recent publications. We considered all literature from the databases until September 2020. PubMed covers the area of medicine, nursing, health care systems, preclinical sciences, and biomedical and life sciences. ProQuest covers the area of public health information and research. Embase covers a wide range of core and niche scientific, medical, and healthcare disciplines. Keywords such as ‘asthma’, ‘wheeze’, ‘machine learning’, ‘human’, ‘cluster’, ‘hierarchical’, ‘artificial intelligence’, ‘naive Bayes’, ‘k nearest neighbor’, ‘k means clustering’, ‘decision tree’, ‘support vector machine’, ‘principal component analysis’, ‘hidden Markov model’, ‘Bayesian network’, ‘random forest’, ‘gradient boosting model’, ‘regression’, ‘artificial neural network’, and ‘deep learning’ were used to search for literature in all three databases. All citations were imported into Mendeley reference manager to create a single Research Information Systems (RIS) file. The RIS file was then imported into the Web-based systematic review software DistillerSR (Evidence Partners, Ottawa, ON) to remove duplicates and help screen titles and abstracts.