LiSA : an assisted literature search pipeline for detecting serious adverse drug events with deep learning
Publisher: BMC Medical Informatics and Decision MakingAuthors: V. Martenot, V. Masdeu, J. Cupe, F. Gehin, M. Blanchon, J. Dauriat, A. Horst, M. Renaudin, P. Girard, J-D. Zucker View publication Introduction Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious task, […]
Modeling approaches for early warning and monitoring of pandemic situations as well as decision support
Publisher: Frontiers in Public HealthAuthors: J. Botz, D. Wang, N. Lambert, N. Wagner, M. Génin, E. Thommes, S. Madan, L. Coudeville, H.Fröhlich View publication The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally forecasting disease spread, and […]
Epidemiology, treatment patterns, clinical outcomes, and disease burden among patients with immune‐mediated thrombotic thrombocytopenic purpura in the United States
Publisher: Research and practice in thrombosis and haemostasis (rpth)Authors: A. Adeyemi, F. Razakariasa, A. Chiorean, R. de Passos Sousa View publication Background Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) is a life‐threatening thrombotic microangiopathy. Due to its rarity, epidemiology and real‐world outcomes data are scarce. Objectives The aim was to assess epidemiology, treatment patterns, clinical outcomes, and […]
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 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 […]
A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial
Publisher: Leukemia (Nature)Authors: C. Dumontet, C; Hulin, M.A. Dimopoulos, A. Belch, A. Dispenzieri, H. Ludwig, P. Rodon, J.V. Droogenbroeck, L. Qiu, M. Cavo, A.V. de Velde, J.J. Lahuerta, O. Allangba, J.H. Lee, E.Boyle, A. Perrot, P. Moreau, S. Manier, M. Attal, M. Roussel, M. Mohty, J.Y. Mary, A. Civet, B. Costa, A. Tinel, Y. Gaston-Mathé, T. Facon […]
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 […]
