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Web of science core

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Web of Science Core is a comprehensive research database that provides access to high-quality, curated scholarly literature across a wide range of academic disciplines. It indexes and abstracts peer-reviewed journal articles, conference proceedings, and other scholarly publications.

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3 protocols using web of science core

1

Comprehensive Literature Search on Exercise for IBD

Check if the same lab product or an alternative is used in the 5 most similar protocols
The search strategy was developed initially in MEDLINE (Ovid) by an information specialist (NA) and peer-reviewed by a second librarian using the PRESS (Peer Review of Electronic Search Strategies) checklist.23 The final search strategy was translated and run in EMBASE (Ovid), Cochrane CENTRAL (Ovid), PsycInfo (Ovid), CINAHL (EBSCO), Scopus (Elsevier), Web of Science Core (Clarivate), and PEDro (web) (Supplementary Data). We searched for ongoing studies by reviewing trial registries (e.g., ClinicalTrials.gov). The most recent search was performed on January 10, 2023.
We performed a hand search of the reference lists of eligible citations and conference proceedings (2016 to January 2023) of Digestive Diseases Week, Canadian Digestive Diseases Week, World Physiotherapy Congress, and Canadian Physiotherapy Association Congress. Lastly, we screened the first 10 pages of results in Google Scholar using the search string exercise|“physical activity” ibd|“inflammatory bowel”|crohns|colitis. All citations obtained from the literature search were exported to Endnote (version 20, Clarivate) for reference management and deduplication. Relevant citations were imported into Rayyan24 (link) for study selection.
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2

Comprehensive Literature Search on Exercise for IBD

Check if the same lab product or an alternative is used in the 5 most similar protocols
The search strategy was developed initially in MEDLINE (Ovid) by an information specialist (NA) and peer-reviewed by a second librarian using the PRESS (Peer Review of Electronic Search Strategies) checklist.23 The final search strategy was translated and run in EMBASE (Ovid), Cochrane CENTRAL (Ovid), PsycInfo (Ovid), CINAHL (EBSCO), Scopus (Elsevier), Web of Science Core (Clarivate), and PEDro (web) (Supplementary Data). We searched for ongoing studies by reviewing trial registries (e.g., ClinicalTrials.gov). The most recent search was performed on January 10, 2023.
We performed a hand search of the reference lists of eligible citations and conference proceedings (2016 to January 2023) of Digestive Diseases Week, Canadian Digestive Diseases Week, World Physiotherapy Congress, and Canadian Physiotherapy Association Congress. Lastly, we screened the first 10 pages of results in Google Scholar using the search string exercise|“physical activity” ibd|“inflammatory bowel”|crohns|colitis. All citations obtained from the literature search were exported to Endnote (version 20, Clarivate) for reference management and deduplication. Relevant citations were imported into Rayyan24 (link) for study selection.
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3

Systematic Review and Meta-Analysis of ERCP Guidewire Usage

Check if the same lab product or an alternative is used in the 5 most similar protocols

For this meta-analysis, we searched the following databases: PubMed/Medline (PubMed platform, National Center for Biotechnology Information), Embase (Embase.com platform, Elsevier), Cochrane Central Register of Controlled Trials (Cochrane Library, Wiley), Web of Science Core Collection and SciELO (Web of Science Platform, Clarivate), and Global Index Medicus (World Health Organization) from inception through November 23, 2021, to identify all the relevant articles. Controlled subject terms and truncated keywords synonyms used for this study included terms related to ERCP, and guidewire. The search strategy was formulated for Embase and translated to vocabularies and syntax of the other databases. The search strategy was created by an experienced librarian (W.L-S) and cross-checked by another reviewer (A.I). Results were exported to EndNote (Clarivate, Philadelphia, Pennsylvania, United States) and duplicates were identified and removed using successive software algorithms with visual inspection. Relevant articles for final data extraction were shortlisted by two reviewers (A.I. and M.A.). The example search strategy using PubMed is highlighted in
Supplementary Table 1.
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