ArticleFrontiers in medicine2022
Perceptions of Regulatory Decision-Making for New Drugs From the Viewpoints of the Manufacturers in South Korea.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Pioneering pharmacometrics practice in Korea: an eight-year retrospective analysis of 192 projects from the first dedicated service organization (2016-2024).Translational and clinical pharmacology · 2026Review
- Measuring the multidimensional reputation of a medicines regulatory agency: development and validation of a public-oriented scale.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regulatory decisions for new drugs approval present high uncertainty, low reversibility, the avoidance of observable errors, and high political stakes. However, research on the behavior of regulatory agencies is scarce, particularly in the context of more open decision-making processes. We aimed to evaluate the perceptions of regulatory decision-making for new drugs approval from the viewpoints of the manufacturers in South Korea. In 2019, employees in domestic (
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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.