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 […]
Identification of Predictive Factors of Diabetic Ketoacidosis in Type 1 Diabetes Using a Subgroup Discovery Algorithm
Publisher: Diabetes, Obesity and MetabolismAuthors: Angela Ibald-Mulli, Jochen Seufert, Julia M. Grimsmann, Markus Laimer, Peter Bramlage, Alexandre Civet, Margot Blanchon, Simon Gosset, Alexandre Templier, W. Dieter Paar, Fang Liz Zhou, Stefanie Lanzinger View publication Aim To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup […]
Une nouvelle approche d’analyse automatique de réponses de questionnaires patients basée sur les modèles de langages
Event: 14ème colloque annuel des Données de Santé en Vie Réelle 2022, AFCROs, Paris, France Authors: L. Deplante, P. Hayat, M. Rollot View Poster Introduction Les questionnaires à réponse ouverte représentent un outil précieux de la recherche épidémiologique pour recueillir la perception des patients sur leur maladie, leur qualité de vie ou leur prise en charge, […]
Using Natural Language Processing (NLP) to understand self-reported barriers and enablers to treatment adherence in type 2 diabetes (T2D) using data from the International Diabetes Management Practices Study (IDMPS)
Publisher: ADA 2022, New Orleans, LA, USA Authors: J.C. Chan; J.J. Gagliardino; H.M. Ilkova; A. Ramachandran; J-C. Mbanya; M. V. Shestakova; M. Rollot; M. Blanchon; P. Hayat; J-M. Chantelot; P. Aschner View Poster Introduction IDMPS is an international, observational study to assess care practices and clinical profiles of people with diabetes in developing countries. […]
Rationale and methodology for a European pooled analysis of post-marketing interventional and observational studies of insulin glargine 300 U/mL in diabetes: the REALI project
Publisher: BMJ openAuthors: N. Freemantle, R.C. Bonadonna, P. Gourdy, D. Mauricio, D. Mueller-Wieland, G. Bigot, A. Ciocca, C. Mauquoi, M. Rollot, M. Bonnemaire View publication Introduction Type 2 diabetes mellitus (T2DM) is a common and heterogeneous disease. Using advanced analytic approaches to explore real-world data may identify different disease characteristics, responses to treatment and progression patterns. Insulin glargine 300 units/mL (Gla-300) is a second-generation […]
Identification of predictive factors of DKA using a subgroup discovery algorithm
Event : EASD (European Association for the Study of Diabetes) Annual Meeting 2019, Barcelona, SpainAuthors: Angela Ibald-Mulli, Margot Blanchon, Alexandre Civet, Julia Hermann, Simon Gosset, Oussama Berguiga, Dieter Paar View video View publication Background and aims: Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), which is difficult to diagnose due to […]
Unmet medical needs in people with type 2 diabetes treated by insulin: results from the International Diabetes Management Practices Survey (IDMPS)
Event: EASD (European Association for the Study of Diabetes) Annual Meeting 2019, Barcelona, SpainAuthors: A. Ramachandran, JC. Mbanya, P. Aschner, JJ. Gagliardino, H. Ilkova, F. Lavalle, M; Shestakova, J-M. Chantelot, A. Shaunik, A. Alvarez, M. Rollot, J. CN Chan View Poster Background and aims Limited data exist on the impact of different insulin therapy regimes on […]
Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium-glucose co-transporter-2 inhibitors with those receiving dipeptidyl peptidase-4 inhibitors, using a supervised machine-learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database
Publisher: DOM (Diabetes, Obesity and Metabolism)Authors: F.L. Zhou MD, H. Watada MD, Y; Tajima MS, M. Berthelot MS, D. Kang MS, C. Esnault MS, Y. Shuto MD, H. Maegawa MD, D. Koya MD View publication Aims To investigate the effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP-4) inhibitors on renal function preservation (RFP) using real-world data of patients with type 2 diabetes in […]
Compare renal function preservation outcome of SGLT2 Inhibitor vs. DPP4 Inhibitor in patients with type 2 diabetes: a retrospective cohort study of Japanese commercial database with advanced analytics approach
Event: ISPOR Europe 2018, Barcelona, Spain Authors: F.L. Zhou, H. Watada, Y. Tajima, M. Berthelot, D. Kang, C. Esnault, Y. Shuto, H. Maegawa, D. Koya View Poster Background Tofogliflozin, a highly selective sodium/glucose cotransporter 2 inhibitor (SGLT2i), was approved in Japan for Type 2 Diabetes Mellitus (T2DM) in May 2014. It is marketed as Apleway/Deberza, […]
A machine learning algorithm can identify clusters of patients with favourable glycaemic outcomes in a pooled European Gla-300 studies (REALI): Novel signposts for clinicians?
Event: EASD Annual Meeting 2018, Berlin, Germany Authors: M. Rollot, M. Bonnemaire, C. Brulle-Wohlhueter, L. Pedrazzini, E. Boëlle-Le Corfec, G. Bigot, M. Didac, R. Bonadonna, P. Gourdy, D. Müller-Wieland, O. Hacman, A. Chiorean, N. Freemantle View Poster Background and aims Detecting consistent patterns of interest can be performed using data-driven subgroup discovery algorithms. These may be instrumental […]
