ArticleNeurointervention2019
Protection of Personal Information in Medical Journal Publications.
Article in Neurointervention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Effect of direct-acting antivirals on disease burden of hepatitis C virus infection in South Korea in 2007-2021: a nationwide, multicentre, retrospective cohort study.EClinicalMedicine · 2024Article
- De-Identification Technique with Facial Deformation in Head CT Images.Neuroinformatics · 2023Article
- Data Pseudonymization in a Range That Does Not Affect Data Quality: Correlation with the Degree of Participation of Clinicians.Journal of Korean medical science · 2021Review
- Guidelines for Editing Biomedical Journals: Recommended by Academy of Medical Sciences of Bosnia and Herzegovina.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It aimed to present the definition of personal information based on Korean laws that protect personal information and the process of protection of personal information in journal publishing based on the guidelines of the International Committee of Medical Journal Editors and Committee of Publication Ethics. Two Korean laws relate to the protection of personal information in human subject research: the Personal Information Protection Act and the Bioethics and Safety Act. These laws were enacted to prevent the unauthorized use of Koreans' personal information including medical information. Personal information can be divided into personally identifiable information including resident registration numbers and sensitive information including health information. To protect personal information in journal publishing, institutional review board (IRB) approval and obtaining informed consent from patients is recommended or mandatory in clinical studies. However, retrospective chart reviews may be exempted from IRB approval, while obtaining informed consent is recommended for all case reports. Journal policies may vary with regard to whether a copy of the informed consent form is collected from authors, since the Committee of Publication Ethics guideline does not specifically recommend collecting it. In discussions of adopting clinical data-sharing policies, transfer of data including nonidentifiable personal information to another country is an unresolved issue. Furthermore, a public data repository site should be established in Korea for data to be deposited. To protect subjects' privacy and to prevent legal issues potentially arising from privacy concerns, editors and publishers should do their best to publish articles with appropriate oversight on subjects' personal information.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.