ArticleClinical pharmacology and therapeutics2019
A Novel Method to Estimate Long-Term Chronological Changes From Fragmented Observations in Disease Progression.
Article in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Development of a Novel Machine Learning Method for Estimation of Life-Long Chronic Disease Progression and Its Application to Type 2 Diabetes.Clinical and translational science · 2025Trial
- Utility of the continuous spectrum formed by pathological states in characterizing disease properties.NPJ systems biology and applications · 2025Article
- The Potential of Disease Progression Modeling to Advance Clinical Development and Decision Making.Clinical pharmacology and therapeutics · 2025Review
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Data-driven disease progression model of Parkinson's disease and effect of sex and genetic variants.CPT: pharmacometrics & systems pharmacology · 2024Article
- Atypical instantaneous spatio-temporal patterns of neural dynamics in Alzheimer's disease.Scientific reports · 2024Article
- Estimating Dementia Onset: AT(N) Profiles and Predictive Modeling in Mild Cognitive Impairment Patients.Current Alzheimer research · 2024Article
- Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates.NPJ systems biology and applications · 2023Article
- Application of Machine Learning in Translational Medicine: Current Status and Future Opportunities.The AAPS journal · 2021Article
- Scores of Health-Related Quality of Life Questionnaire Worsen Consistently in Patients of COPD: Estimating Disease Progression over 30 Years by SReFT with Individual Data Collected in SUMMIT Trial.Journal of clinical medicine · 2020Article
- Predicting time to dementia using a quantitative template of disease progression.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Clinical observations of patients with chronic diseases are often restricted in terms of duration. Therefore, obtaining a quantitative and comprehensive understanding of the chronology of chronic diseases is challenging, because of the inability to precisely estimate the patient's disease stage at the time point of observation. We developed a novel method to reconstitute long-term disease progression from temporally fragmented data by extending the nonlinear mixed-effects model to incorporate the estimation of "disease time" of each subject. Application of this method to sporadic Alzheimer's disease successfully depicted disease progression over 20 years. The covariate analysis revealed earlier onset of amyloid-β accumulation in male and female apolipoprotein E ε4 homozygotes, whereas disease progression was remarkably slower in female ε3 homozygotes compared with female ε4 carriers and males. Simulation of a clinical trial suggests patient recruitment using the information of precise disease time of each patient will decrease the sample size required for clinical trials.
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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.