ArticleClinical and translational science2025
New Function for Safety Signal Monitoring in MID-NET
Article in Clinical and translational science, 2025. 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
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
2 citing papers in PubMed.
- Present and Future Post-marketing Drug Safety Assessment in Japan: A PMDA Perspective.Therapeutic innovation & regulatory science · 2026Article
- Sequential analysis for post-marketing drug safety surveillance using routinely collected electronic healthcare data: a scoping review.Therapeutic advances in drug safety · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-world data play a key role in monitoring drug safety at the post-marketing stage. However, challenges on how to rapidly and continuously obtain analytical results of many outcomes for drug safety signal monitoring still remain. We aimed to establish a rapid and continuous monitoring tool for drug safety assessment based on real-world data in Japan. An automated process for a new-user cohort design with customizable analytical conditions was developed. The customizable analytical conditions include exposure and control drugs, 46 outcomes related to liver and kidney functions, blood tests, biomarkers, and time period of interest. Statistical analyses were performed to evaluate the outcome status (present/absent) and calculate the adjusted hazard ratio, with a 95% confidence interval of exposure to control. We monitored the safety signals of an anti-COVID-19 drug (combination of tixagevimab and cilgavimab) and compared them with those of two controls (peramivir and the combination of casirivimab and imdevimab) to examine the practical utility of this new tool. Our study provided helpful information (e.g., new safety signals) on many outcomes at multiple time points, which could enhance the understanding of drug safety profiles soon after approval. Our function can be used to rapidly and continuously monitor drug safety signals and contribute to strengthening drug safety monitoring in Japan.
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.