Evidence map›Paper›PMID 40762766›Full record

ArticleTherapeutic innovation & regulatory science2025

Leveraging Multi-National Observational Study in Post-Marketing Safety Assessment: Challenges and Strategies.

Li-An Lin, Tarek A Hammad, Wei Liu, Yong Ma, Ed Whalen, Ranjeeta Sinvhal, Melvin Munsaka, William Wang

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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Li-An LinSafety Statistics, Moderna Inc, Cambridge, MA, USA. leeangling@gmail.com.
Tarek A HammadMedical Safety, Takeda Development Center Americas, Inc, Cambridge, MA, USA.
Wei LiuDivision of Surveillance and Epidemiology, Food and Drug Administration Center for Drug Evaluation and Research, Silver Spring, MD, USA. wei.liu2@fda.hhs.gov.
Yong MaOffice of Biometrics, Food and Drug Administration Center for Drug Evaluation and Research, Silver Spring, MD, USA.
Ed WhalenPfizer Inc, New York, NY, USA.
Ranjeeta SinvhalAbbVie, Inc, North Chicago, IL, USA.
Melvin MunsakaAbbVie, Inc, North Chicago, IL, USA.
William WangMerck & Co., Inc, Rahway, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Observational Studies as TopicProduct Surveillance, PostmarketingDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsHumansMulti-databaseMulti-nationalObservational StudyPharmacoepidemiological StudyPostmarketing SafetyReal-world Data

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.