ArticleCNS neuroscience & therapeutics2025
Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry.
Article in CNS neuroscience & therapeutics, 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.
- Metabolite ratiomics: Rapid diagnosis and classification of gliomas for intraoperative application during brain surgery.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry.CNS neuroscience & therapeutics · 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
8 authors.
Funding
Abstract
aimsTo improve the timeliness and accuracy of anti-epilepsy drug monitoring, we developed a point-of-care mass spectrometry (PoC MS) for real-time quantification of valproic acid (VPA), as a paradigm for optimizing perioperative management.
methodsThe PoC MS integrates a miniature mass spectrometer, paper capillary spray, and selective ion isolation. A total of 119 blood samples were analyzed for VPA quantification. An equivalent calibration model was established with 12 paired serum and whole blood samples. Analytical performance was benchmarked against liquid chromatography-mass spectrometry (LC-MS) and enzyme multiplied immunoassay technique (EMIT) with 50 whole blood samples. A validation cohort of 45 samples collected at different time points from 9 patients was analyzed to monitor perioperative VPA concentration dynamics.
resultsSelective ion isolation could improve signal intensity by threefold and enable VPA quantification down to 10 μg/mL within 3 min, demonstrating a clear speed advantage over other methods. The calibration model showed excellent agreement between whole blood and serum concentrations (R
conclusionPoC MS could enable rapid, accurate, and matrix-tolerant bedside monitoring of VPA from whole blood, supporting personalized antiseizure therapy and real-time clinical decision.
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.