ArticleBiometrics2017
Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients.
Article in Biometrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Joint modeling of tumor dynamics and progression-free survival in advanced breast cancer: Leveraging data from amcenestrant early phase I-II trials.CPT: pharmacometrics & systems pharmacology · 2024Trial
- Modeling Temporal Relationships Between Multivariate Repeated Markers Along With Clinical Endpoints: Application to Alzheimer's Disease and Related Dementias.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Hazard curvature makes within-host variability costly for survival.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Fast standard error estimation for joint models of longitudinal and time-to-event data based on stochastic EM algorithms.Biostatistics (Oxford, England) · 2025Article
- Bayesian inference for nonlinear mixed-effects location scale and interval-censoring cure-survival models: An application to pregnancy miscarriage.Statistical methods in medical research · 2025Article
- A Bayesian Joint Model of Multiple Nonlinear Longitudinal and Competing Risks Outcomes for Dynamic Prediction in Multiple Myeloma: Joint Estimation and Corrected Two-Stage Approaches.Statistics in medicine · 2025Article
- Isatuximab-dexamethasone-pomalidomide combination effects on serum M protein and PFS in myeloma: Development of a joint model using phase I/II data.CPT: pharmacometrics & systems pharmacology · 2024Article
- Predicting progression-free survival from measurable residual disease in chronic lymphocytic leukemia.Clinical and translational science · 2024Article
- Individualized survival predictions using state space model with longitudinal and survival data.Journal of the Royal Society, Interface · 2024Article
- Tumor growth and overall survival modeling to support decision making in phase Ib/II trials: A comparison of the joint and two-stage approaches.CPT: pharmacometrics & systems pharmacology · 2024Article
- Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy.Statistical methods in medical research · 2024Article
- Prognostic Value of the Modeled Prostate-Specific Antigen KELIM Confirmation in Metastatic Castration-Resistant Prostate Cancer Treated With Taxanes in FIRSTANA.JCO clinical cancer informatics · 2024Article
- Comparison of two-stage and joint TGI-OS modeling using data from six atezolizumab clinical studies in patients with metastatic non-small cell lung cancer.CPT: pharmacometrics & systems pharmacology · 2024Article
- Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE.NPJ systems biology and applications · 2023Article
- Comparison of sequential and joint nonlinear mixed effects modeling of tumor kinetics and survival following Durvalumab treatment in patients with metastatic urothelial carcinoma.Journal of pharmacokinetics and pharmacodynamics · 2023Article
- Joint models for dynamic prediction in localised prostate cancer: a literature review.BMC medical research methodology · 2022Review
- Longitudinal and time-to-event modeling for prognostic implications of radical surgery in retroperitoneal sarcoma.CPT: pharmacometrics & systems pharmacology · 2022Article
- A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics.CPT: pharmacometrics & systems pharmacology · 2022Article
- Modeling Favipiravir Antiviral Efficacy Against Emerging Viruses: From Animal Studies to Clinical Trials.CPT: pharmacometrics & systems pharmacology · 2020Review
- Progress and Opportunities to Advance Clinical Cancer Therapeutics Using Tumor Dynamic Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Joint modeling is increasingly popular for investigating the relationship between longitudinal and time-to-event data. However, numerical complexity often restricts this approach to linear models for the longitudinal part. Here, we use a novel development of the Stochastic-Approximation Expectation Maximization algorithm that allows joint models defined by nonlinear mixed-effect models. In the context of chemotherapy in metastatic prostate cancer, we show that a variety of patterns for the Prostate Specific Antigen (PSA) kinetics can be captured by using a mechanistic model defined by nonlinear ordinary differential equations. The use of a mechanistic model predicts that biological quantities that cannot be observed, such as treatment-sensitive and treatment-resistant cells, may have a larger impact than PSA value on survival. This suggests that mechanistic joint models could constitute a relevant approach to evaluate the efficacy of treatment and to improve the prediction of survival in patients.
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Registered trials
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