ArticleBritish journal of clinical pharmacology2025
Paracetamol and its metabolites in children and adults with spinal muscular atrophy - a population pharmacokinetic model.
Article in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Semi-Physiological Population Pharmacokinetic Modeling of Oral and Intravenous Paracetamol to Quantify Presystemic Metabolism and Enterohepatic Recirculation.CPT: pharmacometrics & systems pharmacology · 2026Article
- Efficacy and Safety of Paracetamol and NSAIDs for Fever and Pain Management in Children with Chronic Diseases: A Narrative Review.Children (Basel, Switzerland) · 2026Review
- Paracetamol and its metabolites in children and adults with spinal muscular atrophy - a population pharmacokinetic model.British journal of clinical pharmacology · 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
15 authors.
Funding
Abstract
aimsThe aim of the study was to investigate whether differences in paracetamol pharmacokinetics (PK) between spinal muscular atrophy (SMA) patients and healthy controls (HC) could be attributed to specific clinical covariates.
methodsNonlinear mixed-effects modelling (NONMEM 7.4) was used to develop a population PK model, explore covariates for paracetamol and its metabolites and perform simulations.
resultsWith body weight as allometric scaling in the model, SMA disease resulted in a 58% (95% confidence interval [CI]: 20%-130%) increase in the volume of distribution for paracetamol and its metabolites compared to healthy controls. Decreased plasma myoglobin and plasma bilirubin concentrations, seen in SMA patients, resulted in a higher paracetamol leftover clearance (SMA, median: 13.30 L/h/70 kg, 95% CI: 9.14-18.29%; HC, median: 4.05 L/h/70 kg, 95% CI: 3.38-8.83%) and a shift from slower sulfate formation clearance (SMA, median: 8.78 L/h/70 kg, 95% CI: 7.22-9.61%; HC, median: 9.30 L/h/70 kg, 95% CI: 8.42-10.15%) and faster oxidative metabolites elimination clearance (SMA, median: 3.74 L/h/70 kg, 95% CI: 3.31-4.72%; HC, median: 3.25 L/h/70 kg, 95% CI: 2.87-3.92%). Simulations revealed that in SMA patients, higher bodyweight was associated with increased exposure to paracetamol and its metabolites.
conclusionsThe differences in PK between SMA patients and healthy controls could be explained by body weight and the disease itself. SMA patients should be dosed cautiously, ensuring doses do not exceed the recommended body weight adjusted limit.
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.