ArticleCPT: pharmacometrics & systems pharmacology2017
Item Response Theory to Quantify Longitudinal Placebo and Paliperidone Effects on PANSS Scores in Schizophrenia.
Article in CPT: pharmacometrics & systems pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 26 citations in OpenAlex.
- Initial severity of the Positive and Negative Syndrome Scale (PANSS)-30, its main subscales plus the PANSS-6, and the relationship to subsequent improvement and trial dropout: a pooled participant-level analysis of 18 placebo-controlled risperidone and paliperidone trials.Translational psychiatry · 2023Trial
- Detecting placebo and drug effects on Parkinson's disease symptoms by longitudinal item-score models.CPT: pharmacometrics & systems pharmacology · 2021Trial
- Application of Item Response Theory to Model Disease Progression and Agomelatine Effect in Patients with Major Depressive Disorder.The AAPS journal · 2019Trial
- A Pharmacometric Analysis of Patient-Reported Outcomes in Breast Cancer Patients Through Item Response Theory.Pharmaceutical research · 2018Trial
- Item Response Modeling and Artificial Neural Network for Differentiation of Parkinson's Patients and Subjects Without Evidence of Dopaminergic Deficit.CPT: pharmacometrics & systems pharmacology · 2025Article
- Combined Assessment of Function and Survival to Demonstrate the Effect of Treatment on Progressive Supranuclear Palsy.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Comparison of the power and type 1 error of total score models for drug effect detection in clinical trials.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Sparse item testing of clinical scales in neurology trials to alleviate burden to patients.Journal of neurology · 2024Article
- Comparison of Two Methods for Determining Item Characteristic Functions and Latent Variable Time-Course for Pharmacometric Item Response Models.The AAPS journal · 2024Article
- Application of longitudinal item response theory models to modeling Parkinson's disease progression.CPT: pharmacometrics & systems pharmacology · 2022Article
- Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Novel Approach to Movement Disorder Society-Unified Parkinson's Disease Rating Scale Monitoring in Clinical Trials: Longitudinal Item Response Theory Models.Movement disorders clinical practice · 2021Article
- Application of machine learning to predict reduction in total PANSS score and enrich enrollment in schizophrenia clinical trials.Clinical and translational science · 2021Article
- Usefulness of a psychomotor function test as a cognitive function scale for patients with schizophrenia: A pilot study.Heliyon · 2021Article
- Item Response Theory Modeling of the International Prostate Symptom Score in Patients with Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia.The AAPS journal · 2020Article
- Integrated Item Response Theory Modeling of Multiple Patient-Reported Outcomes Assessing Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia.The AAPS journal · 2020Article
- A longitudinal item response model for Aberrant Behavior Checklist (ABC) data from children with autism.Journal of pharmacokinetics and pharmacodynamics · 2020Observational
- A Bounded Integer Model for Rating and Composite Scale Data.The AAPS journal · 2019Article
- A Novel Method for Analysing Frequent Observations from Questionnaires in Order to Model Patient-Reported Outcomes: Application to EXACT® Daily Diary Data from COPD Patients.The AAPS journal · 2019Observational
- Modeling Composite Assessment Data Using Item Response Theory.CPT: pharmacometrics & systems pharmacology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As biomarkers are lacking, multi-item questionnaire-based tools like the Positive and Negative Syndrome Scale (PANSS) are used to quantify disease severity in schizophrenia. Analyzing composite PANSS scores as continuous data discards information and violates the numerical nature of the scale. Here a longitudinal analysis based on Item Response Theory is presented using PANSS data from phase III clinical trials. Latent disease severity variables were derived from item-level data on the positive, negative, and general PANSS subscales each. On all subscales, the time course of placebo responses were best described with Weibull models, and dose-independent functions with exponential models to describe the onset of the full effect were used to describe paliperidone's effect. Placebo and drug effect were most pronounced on the positive subscale. The final model successfully describes the time course of treatment effects on the individual PANSS item-levels, on all PANSS subscale levels, and on the total score level.
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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.