Determinant Factors in Systematic Review of Biomedical Engineering Topics
<p>Students and researchers around the world are increasingly turning to literature reviews. Review articles give you a broad picture of the field and help synthesize published research that is expanding at a rapid pace.</p> <p>Professionally crafted literature reviews, whether written by a student in class or by an experienced researcher for publication, should aim to add to the literature rather than detract from it. This is not an easy feat, but it is a necessary one.<br> Systematic reviews aim to identify, evaluate, and summarize the findings of all relevant individual studies on a related topic; which makes the available evidence more accessible to decision makers.</p> <p>Research Question<br> • Provide enough detail so that the audience can easily understand your purpose without the need for additional explanation.</p> <p>• It is not answered with a simple “yes” or “no”, but requires synthesis and analysis of ideas and sources before writing a response.</p> <p>Search strategy<br> • Organized structure of key terms used to search databases.</p> <p>• Combine key concepts to get accurate results.</p> <p>Inclusion and exclusion criteria<br> They are determined after the research question is established, usually before the search is performed, however, scoping searches may be necessary to determine the appropriate criteria</p> <p>Synthesis<br> • A review matrix and summary tables are convenient ways to quickly summarize and reorganize qualitative information and observations to achieve a preliminary outline.</p> <p>Systematic reviews serve several critical functions</p> <p>Provide synthesis of the state of knowledge in a field, from which future research priorities can be identified;</p> <p>Addressing questions that could not otherwise be answered by individual studies;</p> <p>Identify problems in primary research that should be rectified in future studies;Generate or evaluate theories about how or why phenomena occur.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0