Databases Selection in a Systematic Review of the Association Between Anthropometric Measurements and Dental Caries Among Children in Asia
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children Review Databases Selection in a Systematic Review of the Association between Anthropometric Measurements and Dental Caries among Children in Asia Rokiah Mamikutty 1,2, Ameera Syafiqah Aly 1,2 and Jamaludin Marhazlinda 1,* 1 Department of Community Oral Health and Clinical Prevention, Faculty of Dentistry, University of Malaya, Kuala Lumpur 50603, Malaysia; [email protected] (R.M.); [email protected] (A.S.A.) 2 Oral Health Programme, Ministry of Health Malaysia, Level 5, Block E10, Parcel E, Precinct 1, Federal Government Administrative Centre, Putrajaya 62590, Malaysia * Correspondence: [email protected]; Tel.: +60-3-7967-4805 Abstract: A comprehensive search for primary studies using a sufficient number and relevant databases is critical to minimise bias and increase the validity of a systematic review. We examined the frequency and choices of databases commonly used to provide an efficient search of primary studies for a systematic review of anthropometric measurements and dental caries among children in Asia. Twelve previous systematic reviews on a similar topic were retrieved from six databases. The frequency and choice of databases used by reviewers were determined from the methods sections. We also identified the lists of other databases usually searched in other reviews. Eligibility criteria for final databases selection were the database’s scope, the topic of interest, design of the study, type of article, and the accessibility of the databases. Of the 77 databases identified, previous reviews on this topic used 21 databases, ranging from 2 to 12 databases in each review. Medline, Cochrane Library, Web of Science, and PubMed were employed most frequently. Twenty-six databases were eligible and selected for the present review. Twelve were regional databases to provide comprehensive coverage Citation: Mamikutty, R.; Aly, A.S.; of primary studies. A systematic approach in selecting appropriate databases for searching primary Marhazlinda, J. Databases Selection in studies is paramount to reduce errors, ensure coverage, and increase the validity of systematic a Systematic Review of the reviews’ conclusions. Association between Anthropometric Measurements and Dental Caries Keywords: databases; Asia; dental caries; anthropometric measurements; systematic review among Children in Asia. Children 2021, 8, 565. https://doi.org/ 10.3390/children8070565 1. Introduction Received: 4 June 2021 Searching primary studies is deemed as one of the critical steps in performing system- Accepted: 28 June 2021 Published: 30 June 2021 atic review and meta-analysis. Failure to comprehensively search for primary studies for a systematic review may incur biased results. Importantly, databases are the primary source Publisher’s Note: MDPI stays neutral for searching potential studies; thus, the choice of databases may affect search quality [1]. with regard to jurisdictional claims in Hence, systematic planning in selecting appropriate databases is mandatory. published maps and institutional affil- Several databases are available for searching primary studies, and the number is iations. growing. These electronic databases can be divided into the bibliographic database, subject-specific database, regional database, grey literature database, clinical trial registries, and web search [2]. Medline, EMBASE, and the Cochrane Central Register of Controlled Tri- als (CENTRAL) are essential bibliographic databases. Medline covers 25 million references that indexes with Medical Subject Heading (MeSH). While EMBASE includes important Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. biomedicine references from 90 countries, it covers all Medline records and more, available This article is an open access article via subscription. Each database has its purpose; for instance, CENTRAL is an important distributed under the terms and source for randomized trials. The subject-specific database CINAHL (nursing and allied conditions of the Creative Commons health) is a desired database for nursing-related topics, and the ProQuest Dissertations and Attribution (CC BY) license (https:// Theses Database searches for theses and dissertations related to the review. creativecommons.org/licenses/by/ There are various opinions about the number of databases deemed sufficient for 4.0/). searching primary studies in a systematic review. Vassar et al. (2017) recommended using Children 2021, 8, 565. https://doi.org/10.3390/children8070565 https://www.mdpi.com/journal/children Children 2021, 8, 565 2 of 14 at least two databases for a review [1]. Referring to the commonly used databases such as EMBASE, Medline, Web of Science, and Google Scholar, Bramer et al. (2017) suggested that a systematic review requires four databases to ensure adequate coverage of the review topic [3]. Likewise, Higgins et al. (2019) pointed out that searching multiple databases may provide more excellent coverage than searching a single database [2]. Moreover, the overlapping of search results is less, and it also minimized selection bias. Selecting databases should also consider the review topic [4,5]. In some instances, the reviewer might need to identify and search for additional databases [2,6]. For exam- ple, the present review includes primary studies done in Asian countries. Consequently, regional databases that focus on the literature produced in the Asian regions need to be considered. More than a few regional or local databases of Asian countries are available, for example, IndMED, KoreaMed, and Chinese Biomedical Literature Database. These databases provide useful information, especially regarding studies published in Asian regions. However, regional databases may have some limitations. Saokaew et al. (2015) no- ticed that some databases from Japan and Thailand had limited accessibility [7]. In the view of the scarcity of resources, accessibility issues in some databases may limit a researcher to include the databases for searching for primary studies. On the other hand, even though selecting multiple databases provides better cover- age, time and resources could serve as the reviewers’ limitations [2]. Using numerous databases is very time-consuming. Furthermore, the syntax of search strategies is database- specific [3]. The number of retrieved articles will be enormous; therefore, screening and excluding the irrelevant studies may jeopardize the time required to complete a systematic review [4]. Hence, a balanced decision is needed. Accordingly, to achieve a balanced decision, the selection of databases should be made systematically and understanding the purpose of additional databases is required. Little evidence was found to guide such a pro- cess, especially concerning the number of electronic databases and the choice of databases should be searched [8]. Specific criteria were discussed, which consisted of, (i) the inclu- sion of the core databases such as Medline, EMBASE, Cochrane Library, Web of Science, and Google Scholar [2,3], (ii) the inclusion of additional databases guided by the review topic [4], and (iii) the inclusion of regional databases due appropriate [2]. The reviewer should also consider the resources and accessibility of the databases in the final selection of databases. The present review investigated the association between anthropometric measurements and dental caries in children in Asia. Thus, this paper aimed to identify commonly used and most relevant databases to provide an efficient search of primary studies for this review. 2. Materials and Methods The researcher performed a search for systematic reviews and meta-analyses of an- thropometric measurements and dental caries in children from the following six databases: Medline, PubMed, Web of Science, Scopus, CINAHL, and Google Scholar. The search was performed from the inception of the databases to 30 June 2020. The search strategies built by the information specialist for the present review on ‘Anthropometric measurements and dental caries among children in Asia’ was adapted. The six databases we used and the search strategies for PubMed in Table1 is an example for adaption. Due to the ability to explode narrower terms, PubMed was chosen as a primary database to build the search strategy, and was then adapted to the other five databases. After that, two trained and calibrated researchers (Kappa score for title and abstract screening = 0.96, p < 0.05; full-text screening = 0.85, p < 0.05) independently screened the retrieved review articles at two levels, the title and abstract, and the full text of the remaining systematic reviews and meta-analyses. Of the selected systematic reviews and meta-analyses, the first researcher extracted data on the databases reported in each study’s method section, number and category of databases used, and number of articles retrieved in each database. Upon completion of this process, the data extracted was validated by the second researcher. Besides, the researcher also identified and listed all the commonly used databases for Children 2021, 8, 565 3 of 14 systematic review studies [9], including the databases suggested by articles, books, website, and courses. Table 1. PubMed, with its ability to explode narrower terms, built the search strategies of the three following concepts ‘children’, ‘anthropometric measurements’, and ‘caries’, then adapted it to other five databases. Search Strategy for PubMed Results “child” [MeSH Terms] OR “child” [All Fields] OR “children” [All Fields] OR “child s” [All Fields] OR “children s” [All Fields] OR “childrens” [All Fields]