Evaluating Bayesian Borrowing Methods for Treatment Effect Extrapolation: A Simulation-Based Study
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Marie Génin, Tristan Fauvel, Antoine Movschin, Billy Amzal View Poster OBJECTIVES Bayesian borrowing methods are increasingly used to extrapolate treatment effects when direct evidence generation is challenging, such as for pediatrics or rare diseases. This study aimed to evaluate and compare the performance of Bayesian methods for treatment […]
Comparative Evaluation of Sequence-Encoding Strategies for Clustering Inhaled Therapy Pathways in COPD Patients Using Real-World Data
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Romane Péan, Nina Temam, Marie Génin, Diane Vincent, Rachel Nadif, Sofiane Kab, Nicolas Roche, Pauline Guilmin View Poster OBJECTIVES Identifying and comparing patient treatment pathways is critical to inform healthcare decision-making, yet the high variability and complexity of real-world sequences pose methodological challenges. In clustering, sequence encoding plays […]
Development of an AI-Powered Tool to Accelerate and Enhance Systematic Literature Reviews for Evidence-Based Decision Making in Clinical Research
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Paul Loustalot, Boris Kopin, Sacha Levy, Basile Ferry, Vincent Martenot View Poster OBJECTIVES Systematic literature reviews (SLRs) are foundational for evidence-based decisions-making across the pharmaceutical and medical devices product lifecycle, from early research and development to market launch, and post-market activities. Conventional SLRs are often time- and resource-intensive, […]
Comparing Individualized Treatment Effect Inference Methods Through a Simulation Study
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Diane Vincent, Antoine Movschin, Tristan Fauvel View Poster OBJECTIVES Randomized controlled trials (RCTs) are the gold standard for estimating the average treatment effect (ATE), based on the equipoise principle and proper trial size and design, but they are typically not geared towards individual effect estimation. Conversely, real-world data […]
A New Regulatory-Grade Chronic Disease Cohort Simulator: Leveraging the Large, Deep, and Long Constances Cohort Linked and Matched to the SNDS in France
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Marie Génin, Antoine Movschin, Sofiane Kab, Billy Amzal View Poster OBJECTIVES Virtual cohorts and synthetic patients are gaining traction to address data scarcity, privacy and ethical constraints in drug development. Quinten Health in partnership with INSERM/CONSTANCES, one of the largest general population cohorts in EU is developing a […]
An AI-Powered Tool to Identify and Assess Fit-for-Use Registries for Drug Development and Evaluation
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Ghinwa Y. Hayek, Boris Kopin, Sonia Zebachi, Gaëtan Pinon, Basile Ferry, Elisabeth Bakker, Alexandre Macquin, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View Poster OBJECTIVES Selecting appropriate real-world data (RWD) sources, particularly registries, is a primary challenge for academia, industry, regulators, and health technology assessment (HTA) […]
Patient-reported outcomes and treatment adherence in type 2 diabetes using natural language processing: Wave 8 of the Observational International Diabetes Management Practices Study
Publisher: Journal of Diabetes Investigation Authors: Juliana CN Chan, Jean Claude Mbanya, Jean-Marc Chantelot, Marina Shestakova, Ambady Ramachandran, Hasan Ilkova, Lucille Deplante, Melissa Rollot, Lydie Melas-Melt, Juan Jose Gagliardino, Pablo Aschner View Publication Aims/Introduction We analyzed patient-reported outcomes of people with type 2 diabetes to better understand perceptions and experiences contributing to treatment adherence. Materials and […]
An AI powered tool to identify and assess fit-for use registries for real-world evidence
Event: EuroDURG 2025, Uppsala, Sweden Authors: Ghinwa Y. Hayek, Pascal Godbillot, Coriande Clemente, Sonia Zebachi, Gaëtan Pinon, Boris Kopin, Elisabeth Bakker, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View publication Abstract The selection of appropriate real-world data (RWD) sources, particularly registries, is of primary concern for academia, industry, regulators, and health technology assessment […]
Clustering des trajectoires thérapeutiques pour la bronchopneumopathie chronique obstructive (BPCO) : comparaison des méthodes d’encodage de séquences
Event: 17ème Colloque Données de Santé en Vie Réelle de l’AFCROs, Paris, France Authors: Romane Pean, Nina Temam, Diane Vincent, Marie Génin, Pauline Guilmin View Presentation Introduction L’analyse des séquences thérapeutiques et évènements médicauxest essentielle pour optimiser la prise en charge des patients. Cependant, lacomplexité et variabilité de ces séquences posent un défi méthodologique. Leclustering […]
Navigating the Real World: A Scoping Review of Structured Frameworks to Effectively Identify, Evaluate, and Select Real-World Data Sources for Fit-for-Purpose Studies
Publisher: Clinical Pharmacology and Therapeutics Authors: Sonia Zebachi, Julien Tanniou, Elisabeth Bakker, Sieta T. de Vries, Rossella Di Bidino, Entela Xoxi, Anna Glaser, Gianluigi Savarese, Jan Hillert, Peter G.M. Mol, Kelly Plueschke, Billy Amzal, Ghinwa Y. Hayek, Jeverson Moreira View publication Abstract The potential of real-world data (RWD), particularly from patient registries, has been increasingly recognized […]
