ArticleFrontiers in pharmacology2026
Handling missed dose of riluzole by population pharmacokinetic model informed remedial regimen.
Article in Frontiers in pharmacology, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients with amyotrophic lateral sclerosis (ALS) frequently exhibit nonadherence characterized by delayed or missed doses while taking riluzole. This study aimed to provide a population pharmacokinetic (PPK) model informed individualized remedial regimens for patients who experience delayed or missed doses of riluzole. Methods: A PPK model for riluzole was developed via a nonlinear mixed-effect modeling approach based on 3,024 concentration-time points from 72 subjects. The final model was validated by multiple methods. Six remedial regimens for missed doses were simulated for concentration-time profiles under different scenarios, and the optimal remedial regimen was selected based on the least time of concentration beyond the normal range. Results: The PPK model of riluzole was best described with a two-compartment model with body weight as a covariate of peripheral distribution volume. The typical values of CL/F, V Conclusion: A riluzole PPK model was developed and internally evaluated using multiple diagnostic approaches. Model-based remedial dosing strategies for different missed-dose scenarios were identified based on predefined PK criteria and Monte Carlo simulations. These exploratory strategies provide quantitative insights into riluzole exposure during nonadherent dosing conditions.
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.