Systematic review in diagnostic radiology
Abstract
Systematic review (SR) already makes a major contribution to evidence-based healthcare by making the review process transparent and by reducing bias. SR has been successfully applied to observational studies. Radiologists have already begun to make an impact in dentistry by using SR as a decision-making tool. Central to SR is establishment of a research question, selection criteria, a search plan, a literature search, an appraisal of the identified literature by the selection criteria; an analysis and a formulation of recommendations. With regard to the literature search, electronic databases (Medline, Embase, Science Citation Index, Lilacs), controlled subject headings, exploding and free-text searching, handsearching and the gray literature are discussed.
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Five articles gave recommendations about how to assess eligibility: it should be blind, independent, and performed by two reviewers.
“Five articles gave recommendations about how to assess eligibility: it should be blind [29, 30, 46], independent [29, 33, 46, 48], and performed by two reviewers [29, 30, 33, 48].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [46]
The majority of articles discussed aspects general to systematic reviews including advantages and limitations of different literature sources and databases, search tools, the importance of identifying unpublished studies, literature searching techniques including how to build a search string and reporting.
“The majority of articles discussed aspects general to systematic reviews including advantages and limitations of different literature sources and databases, search tools, the importance of identifying unpublished studies, literature searching techniques including how to build a search string and reporting [12, 29, 33–36, 46, 48, 50, 51, 53, 54, 57, 59–62, 67, 68].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [46]
Twenty (22%) articles reported on item "publication bias", with publication dates between 1994 and 2012 (median year 2001).
“Twenty (22%) articles reported on item “publication bias” [16, 29, 33, 34, 36, 46, 48–50, 55, 56, 61, 70, 78, 85, 95–99], with publication dates between 1994 and 2012 (median year of publication 2001).”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [46]
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MacDonald, D. S. (2019) · doi:10.1002/9781119218739.ch3
- Authors
- MacDonald-Jankowski, D. S., & Dozier, M. F.
- Affiliations
- University of Bergen (NO)
- University of Edinburgh (GB)
- ORCID
- Dozier, M F
- Venue
- Dentomaxillofacial Radiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2001
- Volume
- 30
- Issue
- 2
- Pages
- 78-83
- ISSN
- 0250-832X (ISSN-L)
- OpenAlex
- W2094215341
- Cited by
- 18
- References
- 24
- Citations by year
- 2023: 1 · 2022: 1 · 2019: 2 · 2018: 1 · 2017: 1 · 2015: 1
- FWCI
- 1.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Dentomaxillofacial Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Keywords
- systematic reviews, diagnostic radiology, evidence-based care, literature search strategies, online databases, grey literature, research question formulation, literature appraisal
- MeSH terms
- Decision Support Techniques, Humans, Radiography, Dental, Research Design, Review Literature as Topic, Meta-Analysis as Topic, Databases, Bibliographic, Information Storage and Retrieval, Patient Selection, Dental Research, Evidence-Based Medicine
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