ArticleClinical pharmacology and therapeutics2012
Likert pain score modeling: a Markov integer model and an autoregressive continuous model.
Article in Clinical pharmacology and therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- Rotigotine transdermal system and evaluation of pain in patients with Parkinson's disease: a post hoc analysis of the RECOVER study.BMC neurology · 2014Trial
- A tutorial on pharmacometric Markov models.CPT: pharmacometrics & systems pharmacology · 2025Article
- Association of psychological factors with limb disability in patients with cervical radiculopathy: comparison with carpal tunnel syndrome.BMC musculoskeletal disorders · 2022Article
- Towards Evidence-Based Weaning: a Mechanism-Based Pharmacometric Model to Characterize Iatrogenic Withdrawal Syndrome in Critically Ill Children.The AAPS journal · 2021Article
- A Bounded Integer Model for Rating and Composite Scale Data.The AAPS journal · 2019Article
- An automated sampling importance resampling procedure for estimating parameter uncertainty.Journal of pharmacokinetics and pharmacodynamics · 2017Article
- A Minimal Continuous-Time Markov Pharmacometric Model.The AAPS journal · 2017Article
- New generalized poisson mixture model for bimodal count data with drug effect: An application to rodent brief-access taste aversion experiments.CPT: pharmacometrics & systems pharmacology · 2016Article
- A Model-Based Approach for Joint Analysis of Pain Intensity and Opioid Consumption in Postoperative Pain.The AAPS journal · 2016Article
- Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations.Journal of pharmacokinetics and pharmacodynamics · 2016Article
- A Pharmacokinetic-Pharmacodynamic Model of Morphine Exposure and Subsequent Morphine Consumption in Postoperative Pain.Pharmaceutical research · 2016Article
- Incorporation of stochastic variability in mechanistic population pharmacokinetic models: handling the physiological constraints using normal transformations.Journal of pharmacokinetics and pharmacodynamics · 2015Article
- Modeling and simulation of count data.CPT: pharmacometrics & systems pharmacology · 2014Article
- Translational PK-PD modeling in pain.Journal of pharmacokinetics and pharmacodynamics · 2013Review
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pain intensity is principally assessed using rating scales such as the 11-point Likert scale. In general, frequent pain assessments are serially correlated and underdispersed. The aim of this investigation was to develop population models adapted to fit the 11-point pain scale. Daily Likert scores were recorded over 18 weeks by 231 patients with neuropathic pain from a clinical trial placebo group. An integer model consisting of a truncated generalized Poisson (GP) distribution with Markovian transition probability inflation was implemented in NONMEM 7.1.0. It was compared to a logit-transformed autoregressive continuous model with correlated residual errors. In both models, the score baseline was estimated to be 6.2 and the placebo effect to be 19%. Developed models similarly retrieved consistent underlying features of the data and therefore correspond to platform models for drug effect detection. The integer model was complex but flexible, whereas the continuous model can more easily be developed, although requires longer runtimes.
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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.