Identification of risk profiles for liver injury in adults with multiple sclerosis using artificial intelligence method
Event: The Liver Meeting – AASLD (American Association for the Study of Liver Diseases) 2024, San Diego, California, USA Authors: Dominique Larrey, Fang Liz Zhou, Claire Brulle-Wohlhueter, Myriam Benamor, Jeffrey Chavin, Neda Razaz, Raphael Bejuit, Julien Dauriat, Théophile Reppelin, Romane Péan, Sam Ekhtiari, Nicolas Wagner, Fred Lublin View Poster Background The evolution of multiple sclerosis (MS) […]
Identification of risk profiles for liver injury in adults with multiple sclerosis using artificial intelligence method
Authors: Dominique Larrey, Fang Liz Zhou, Claire Brulle-Wohlhueter, Myriam Benamor, Jeffrey Chavin, Neda Razaz, Raphael Bejuit, Julien Dauriat, Théophile Reppelin, Romane Péan, Sam Ekhtiari, Nicolas Wagner, Fred Lublin Event: Congrès AFEF (Association Française pour l’Étude du Foie) View Poster Introduction et Objectif L’évolution du traitement de la sclérose en plaques (SEP) au cours des deux dernières […]
Assay Harmonization and Use of Biological Standards To Improve the Reproducibility of the Hemagglutination Inhibition Assay: a FLUCOP Collaborative Study
Publisher: ASM Journals / mSphereAuthors: J. Waldock, L. Zheng, E.J. Remarque, A. Civet, B. Hu, S. Lartey Jalloh, R. Jane Cox, S. Ho, K. Hoschler, T. Ollinger, C.M. Trombetta, O.G. Engelhardt, C.Caillet View publication Background The hemagglutination inhibition (HAI) assay is an established technique for assessing influenza immunity, through measurement of antihemagglutinin antibodies. Improved reproducibility of […]
Social deprivation aggravates post-operative morbidity in carcinologic colorectal surgery: Results of the COINCIDE multicenter study
Publisher: Journal of Visceral SurgeryAuthors: A. Alves, A. Civet, A. Laurent, Y. Parc, C. Penna, S. Msika, M. Hirsch, M. Pocard, G. Coincide View publication Aim of the study Evaluate the impact of social deprivation on morbidity and mortality in surgery for colorectal cancer. Methods The COINCIDE prospective cohort included nearly 2,000 consecutive patients operated on […]
Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis — An Application to the International Diabetes Management Practice Study
Publisher: Frontiers Artificial IntelligenceAuthors: C. Esnault, M-L. Gadonna, M. Queyrel, A. Templier, J-D. Zucker View publication Background Addressing the heterogeneity of both the outcome of a disease and the treatment response to an intervention is a mandatory pathway for regulatory approval of medicines. In randomized clinical trials (RCTs), confirmatory subgroup analyses focus on the assessment of drugs in […]
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 […]
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, […]
MMS19 as a potential predictive marker of adjuvant chemotherapy benefit in resected non-small cell lung cancer
Publisher: Cancer BiomarkersAuthors: J. Adam, T. Sourisseau, K.A. Olaussen, A. Robin, C.Q. Zhu, A. Templier, A. Civet, P. Girard, V. Lazar, P. Validire, M. S. Tsao, J.-C. Soria, B. Besse View publication Background Resectable non-small cell lung cancer (NSCLC) treatment options most often consist of surgical resection along with adjuvant chemotherapy (ACT). The benefit of ACT however […]
