ArticleFrontiers in medicine2026
Deviations from recommended use of liposomal bupivacaine: a real-world pharmacovigilance study using the FAERS database.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Liposomal bupivacaine (L-BUP) is a widely used long-acting local anesthetic, but real-world data on its post-marketing off-label use and medication error risks remain limited. This study aimed to characterize these risks to inform rational clinical use and post-marketing risk management of improved new drug formulations. Methods: L-BUP-related safety reports were extracted from the FAERS database (Q1 2004-Q2 2025). Four disproportionality analysis methods (ROR, PRR, BCPNN, and MGPS) were applied, with a positive signal defined as simultaneously meeting all four predefined criteria. Risk signals were mapped via Medical Dictionary for Regulatory Activities (MedDRA) Preferred Terms (PTs) and Standardized MedDRA Queries (SMQs). Conventional bupivacaine (C-BUP) was used as a comparator in the sensitivity analysis to verify the specificity of risk signals. Results: Among 19,252,329 included FAERS reports, 4,151 listed L-BUP as the primary suspect drug. Of the top 20 L-BUP positive signals, 35% were associated with deviations from recommended use. Notably, "Labeled drug-drug interaction medication error" exhibited the strongest signal (ROR = 332.7), while "Off-label use" had the highest reporting frequency, with 238 cases. At the SMQ level, medication errors yielded a positive safety signal (ROR = 4.17). Sensitivity analysis confirmed that C-BUP presented a negative signal for medication errors (ROR = 0.88) under identical analytical conditions. The number of concomitant medications was positively correlated with the incidence of serious adverse events, whereas the overall serious adverse event rate was higher for C-BUP than for L-BUP. Conclusion: L-BUP carries significant off-label use and formulation-specific medication error risks, with a positive correlation between concomitant medication use and serious adverse events. Many of these risks are preventable. These findings support targeted clinical and regulatory risk mitigation strategies for L-BUP, and provide evidence for improved post-marketing surveillance of complex modified-release formulations.
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.