Trial reportJournal of pharmacokinetics and pharmacodynamics2010
Multinomial logistic estimation of Markov-chain models for modeling sleep architecture in primary insomnia patients.
Trial report in Journal of pharmacokinetics and pharmacodynamics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed.
- Modeling sleep data for a new drug in development using markov mixed-effects models.Pharmaceutical research · 2011Trial
- Recommending encounters according to the sociodemographic characteristics of patient strata can reduce risks from type 2 diabetes.PloS one · 2021Article
- AM-251, A Cannabinoid Antagonist, Modifies the Dynamics of Sleep-Wake Cycles in Rats.Frontiers in pharmacology · 2019Article
- Mathematical modeling of sleep state dynamics in a rodent model of shift work.Neurobiology of sleep and circadian rhythms · 2018Article
- The Color of Noise and Weak Stationarity at the NREM to REM Sleep Transition in Mild Cognitive Impaired Subjects.Frontiers in psychology · 2018Article
- Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks.PloS one · 2018Article
- Quasi-supervised scoring of human sleep in polysomnograms using augmented input variables.Computers in biology and medicine · 2015Article
- Optimal clinical trial design based on a dichotomous Markov-chain mixed-effect sleep model.Journal of pharmacokinetics and pharmacodynamics · 2014Article
- Chronic escitalopram treatment attenuated the accelerated rapid eye movement sleep transitions after selective rapid eye movement sleep deprivation: a model-based analysis using Markov chains.BMC neuroscience · 2014Article
- Cost-effectiveness of long-acting injectable risperidone versus flupentixol decanoate in the treatment of schizophrenia: a Markov model parameterized using administrative data.The European journal of health economics : HEPAC : health economics in prevention and care · 2014Article
- A multi-state spatio-temporal Markov model for categorized incidence of meningitis in sub-Saharan Africa.Epidemiology and infection · 2013Article
- Comparisons of Analysis Methods for Proof-of-Concept Trials.CPT: pharmacometrics & systems pharmacology · 2013Article
- Pharmacokinetic-pharmacodynamic modeling of severity levels of extrapyramidal side effects with markov elements.CPT: pharmacometrics & systems pharmacology · 2012Article
- A hidden Markov model to assess drug-induced sleep fragmentation in the telemetered rat.Journal of pharmacokinetics and pharmacodynamics · 2011Article
- Multinomial logistic functions in markov chain models of sleep architecture: internal and external validation and covariate analysis.The AAPS journal · 2011Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypnotic drug development calls for a better understanding of sleep physiology in order to improve and differentiate novel medicines for the treatment of sleep disorders. On this basis, a proper evaluation of polysomnographic data collected in clinical trials conducted to explore clinical efficacy of novel hypnotic compounds should include the assessment of sleep architecture and its drug-induced changes. This work presents a non-linear mixed-effect Markov-chain model based on multinomial logistic functions which characterize the time course of transition probabilities between sleep stages in insomniac patients treated with placebo. Polysomnography measurements were obtained from patients during one night treatment. A population approach was used to describe the time course of sleep stages (awake stage, stage 1, stage 2, slow-wave sleep and REM sleep) using a Markov-chain model. The relationship between time and individual transition probabilities between sleep stages was modelled through piecewise linear multinomial logistic functions. The identification of the model produced a good adherence of mean post-hoc estimates to the observed transition frequencies. Parameters were generally well estimated in terms of CV, shrinkage and distribution of empirical Bayes estimates around the typical values. The posterior predictive check analysis showed good consistency between model-predicted and observed sleep parameters. In conclusion, the Markov-chain model based on multinomial logistic functions provided an accurate description of the time course of sleep stages together with an assessment of the probabilities of transition between different stages.
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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.