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Updated: Sep 12, 2025
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
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Conflicts of Interest Publication Disclosures: Descriptive Study.
S Scott Graham1, Jade Shiva1, Nandini Sharma1
1The University of Texas at Austin.
JMIR Data
|August 6, 2025
Summary
A new dataset, Conflicts of Interest PublicatiON Disclosures (COIPonD), provides open access to author conflict of interest (COI) disclosures. This resource aims to facilitate research into how COI impacts biomedical research integrity.
Area of Science:
- Biomedical Research
- Data Science
- Scientific Integrity
Background:
- Author conflicts of interest (COI) can compromise biomedical research integrity.
- Accessing COI disclosure statements for research is challenging due to limited database representation.
Purpose of the Study:
- To introduce a novel, open-access dataset of COI disclosures from biomedical journal articles.
- To facilitate further investigation into the impact and circumstances of COI in research.
Main Methods:
- Utilized ClinCalc's Top 300 drugs lists to identify 319 commonly used drugs.
- Developed search strategies using the National Library of Medicine's Medical Subject Headings and deployed via the eUtilities API.
- Extracted COI disclosure statements from over 38,000 PubMed-indexed articles, focusing on drug products.
Main Results:
- Introduced the Conflicts of Interest PublicatiON Disclosures (COIPonD) dataset.
- COIPonD includes author-reported COI disclosures for articles published between 1949 and 2022.
- The dataset focuses on 319 commonly used drugs in the United States.
Conclusions:
- The COIPonD dataset is expected to accelerate research on the effects of COI in the biomedical field.
- This resource will enable new studies on COI effects across various disciplines and subspecialties.
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