ArticleTherapeutic innovation & regulatory science2025
Leveraging Multi-National Observational Study in Post-Marketing Safety Assessment: Challenges and Strategies.
Article in Therapeutic innovation & regulatory science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of multi-national observational study in post-marketing safety assessment has been rising in recent years in parallel with the rapid development and adoption of electronic healthcare data (e.g., administrative claims, electronic health records) and novel statistical analysis methods to handle these data. Secondary use of routinely collected electronic health information has long been available to conduct pharmacoepidemiologic studies using data from millions of patients. Certain observational studies or surveillance activities, especially those investigating rare exposure or outcome or those designed to study specific patient subgroups (e.g., elderly, pediatric) or newly approved medical products, necessitate a multi-national approach. Other instances utilizing such study design include but not limited to (1) postmarketing study requested by multiple regulatory authorities; (2) multiple data systems chosen to complement each other (e.g., databases with long-term clinical outcome data combined with another that includes lab and radiology findings to allow case adjudication and/or algorithm validation); (3) multiple data sources needed to verify and replicate study findings. In this article, we share examples of multi-national postmarketing studies and discuss key pitfalls related to the design and analysis of such studies as well as strategies to mitigate biases.
Indexed as
Identifiers
40762766What 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.