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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Comparing data accuracy between structured abstracts and full-text journal articles: implications in their use for
Paul Fontelo1, Alex Gavino, Raymond Francis Sarmiento
1Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, , Bethesda, Maryland, USA.
Evidence-Based Medicine
|June 22, 2013
Summary
Structured abstracts are generally accurate for clinical decisions, despite minor data discrepancies. Most inaccuracies found between abstracts and full-text articles were not clinically significant.
Area of Science:
- Medical Informatics
- Scientific Communication
Background:
- Structured abstracts are crucial for disseminating research findings.
- Clinician-oriented applications for mobile devices aim to improve clinical decision-making.
- Previous studies indicated potential inaccuracies between abstracts and full-text articles.
Purpose of the Study:
- To assess the accuracy of structured abstracts compared to full-text articles.
- To determine the clinical significance of any identified discrepancies.
Main Methods:
- A comparative analysis of 60 structured abstracts and their corresponding full-text articles from six major medical journals.
- Classification of data inaccuracies as clinically significant or not significant.
Main Results:
- Data inaccuracies were found in 53.33% of the analyzed articles.
- The Results section exhibited the highest rate of discrepancies (45%), though mostly not clinically significant.
- Common inaccuracies included mismatched numbers/percentages and data present in abstracts but not full text.
Conclusions:
- Despite a high percentage of inaccuracies, they were generally not clinically significant.
- Structured abstracts remain informative and potentially valuable for practitioners guiding clinical decisions.
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