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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Writing a narrative biomedical review: considerations for authors, peer reviewers, and editors

Gasparyan, Armen Yuri, Ayvazyan, Lilit, Blackmore, Heather, Kitas, George D.·2011·Rheumatology International
DOI 10.1007/s00296-011-1999-3
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Abstract

Review articles comprehensively covering a specific topic are crucial for successful research and academic projects. Most editors consider review articles for special and regular issues of journals. Writing a review requires deep knowledge and understanding of a field. The aim of this review is to analyze the main steps in writing a narrative biomedical review and to consider points that may increase the chances of success. We performed a comprehensive search through MEDLINE, EMBASE, Scopus, and Web of Science using the following keywords: review of the literature, narrative review, title, abstract, authorship, ethics, peer review, research methods, medical writing, scientific writing, and writing standards. Opinions expressed in the review are also based on personal experience as authors, peer reviewers, and editors.

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Crossref · 10.1007/s00296-011-1999-3

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2 of 2 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Citations

Cites

Research works printed but not linked: 49

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Metadata

Authors
Gasparyan, A. Y., Ayvazyan, L., Blackmore, H., & Kitas, G. D.
Venue
Rheumatology International
Publisher
Springer Science and Business Media LLC
Published
2011-07-29
Volume
31
Issue
11
Pages
1409-1417
ISSN
  • 0172-8172
  • 1437-160X
DOI
10.1007/s00296-011-1999-3
Cited by
694
References
2
Language
en
Licence
www.springer.com/tdm (tdm)

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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