Your browser doesn't support javascript.
loading
Evaluating the Accuracy and Design of Visual Abstracts in Academic Surgical Journals.
Guidolin, Keegan; Lin, Justin; Zorigtbaatar, Anudari; Nadeem, Minahil; Ibrahim, Tarek; Neilson, Zdenka; Kim, Kyung Young Peter; Rajendran, Luckshi; Chadi, Sami; Quereshy, Fayez.
Afiliación
  • Guidolin K; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Lin J; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
  • Zorigtbaatar A; University Health Network, Toronto, ON, Canada.
  • Nadeem M; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Ibrahim T; Faculty of Medicine, McGill University, Montreal, QC, Canada.
  • Neilson Z; Faculty of Science, McMaster University, Hamilton, ON, Canada.
  • Kim KYP; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Rajendran L; Faculty of Science, Western University, London, ON, Canada.
  • Chadi S; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Quereshy F; Department of Surgery, University of Toronto, Toronto, ON, Canada.
Ann Surg ; 276(5): e275-e283, 2022 11 01.
Article en En | MEDLINE | ID: mdl-35801709
ABSTRACT

OBJECTIVE:

The objective of this study was to assess the quality and accuracy of visual abstracts published in academic surgical journals.

BACKGROUND:

Visual abstracts are commonly used to disseminate medical research findings. They distill the key messages of a research article, presenting them graphically in an engaging manner so that potential readers can decide whether to read the complete manuscript.

METHODS:

We developed the Visual Abstract Assessment Tool based upon published guidelines. Seven reviewers underwent iterative training to apply the tool. We collected visual abstracts published by 25 surgical journals from January 2017 to April 2021; those corresponding to systematic reviews without meta-analysis, conference abstracts, narrative reviews, video abstracts, or nonclinical research were excluded. Included visual abstracts were scored on accuracy (as compared with written abstracts) and design, and were given a "first impression" score.

RESULTS:

Across 25 surgical journals 1325 visual abstracts were scored. We found accuracy deficits in the reporting of study design (35.8%), appropriate icon use (49%), and sample size reporting (69.2%), and design deficits in element alignment (54.8%) and symmetry (36.1%). Overall scores ranged from 9 to 14 (out of 15), accuracy scores from 4 to 8 (out of 8), and design scores from 3 to 7 (out of 7). No predictors of visual abstract score were identified.

CONCLUSION:

Visual abstracts vary widely in quality. As visual abstracts become integrated with the traditional components of scientific publication, they must be held to similarly high standards. We propose a checklist to be used by authors and journals to standardize the quality of visual abstracts.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Asunto principal: Publicaciones Periódicas como Asunto Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Ann Surg Año: 2022 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Asunto principal: Publicaciones Periódicas como Asunto Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Ann Surg Año: 2022 Tipo del documento: Article País de afiliación: Canadá