The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Structured abstracts: Do they improve the quality of information in abstracts?
Abstract
Introduction This retrospective observational study was designed to assess the impact on quality of changing from unstructured to structured abstract format. Six dental journals, 3 that adopted structured abstracts and 3 with unstructured abstracts, were used. Methods One hundred abstracts from original articles, published between January 1995 and December 1998, were selected from each journal. A 29-question checklist was developed and used to assess the quality of the information in the abstracts. Results The mean score for abstracts published in all journal was 53.9% (SD 11.5; 95% CI 52.8%, 54.8%). There was no statistically significant difference between the scores of the first 50 abstracts and the second 50 abstracts from any journals with unstructured abstracts (P = .19-.80). The mean score of the second 50 abstracts from journals that adopted the structured abstract format was significantly higher than scores from journals with unchanged formats (P < or =.001). Conclusions Structured abstracts provide higher-quality information. Journal editors should be encouraged to use a structured abstract format.
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“Structured abstracts provide higher quality and more information, could be easier to read, search, and facilitate peer review, and are welcomed by readers/authors [41–43].”
From Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist (2023) · cites this paper as [41]
In the citing paper
“Structured abstracts had significantly higher quality compared to unstructured ones; and change in abstract format from unstructured to structured affected quality positively [41,44].”
From Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist (2023) · cites this paper as [41]
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Metadata
- Authors
- Sharma, S., & Harrison, J. E.
- Affiliations
- University of Liverpool (GB)
- Corresponding author
- Harrison, Jayne E.
- Venue
- American Journal of Orthodontics and Dentofacial Orthopedics
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 130
- Issue
- 4
- Pages
- 523-530
- ISSN
- 0889-5406 (ISSN-L)
- OpenAlex
- W2041358537
- Cited by
- 86
- References
- 0
- Citations by year
- 2026: 1 · 2025: 12 · 2024: 7 · 2023: 5 · 2022: 6 · 2021: 6 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 8 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 5
- FWCI
- 11.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Orthodontics and Dentofacial Orthopedics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Academic Writing and Publishing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
- Keywords
- structured abstracts, abstract quality, dental journals, scientific reporting, journal editorial policy, information quality
- MeSH terms
- Abstracting and Indexing, Journalism, Dental, Periodicals as Topic, Bibliometrics, Databases, Bibliographic, Information Dissemination
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
