Bibliothèque à l\u27heure du Web 2.0 (La) : amélioration significative du service aux usagers ?

Présentation et programme de la journée d\u27étude "La bibliothèque à l\u27heure du Web 2.0 : amélioration significative du service aux usagers ?", organisée par l\u27Université d\u27Artois et le groupe de recherche "Document numérique & Usages" (Université Paris 8), Arras, 22 mai 2008

BU, la nouvelle vague

L’évolution continue des structures universitaires, du paysage documentaire et informationnel et des attentes des différents utilisateurs, nécessitait de repenser le fonctionnement des SCD en s’inspirant, par exemple, du modèle des learning centers. Ainsi, à Villeneuve d’Ascq, Dunkerque, Vaucelles en Nord – Pas-de-Calais

Le Visual...Catalog : quand les technologies s\u27effacent devant l\u27usage et la médiation

Communication faite à l\u27occasion de la journée d\u27étude "La bibliothèque à l\u27heure du Web 2.0 : amélioration significative du service aux usagers ?", organisée par l\u27Université d\u27Artois et le groupe de recherche "Document numérique & Usages" (Université Paris 8), Arras, 22 mai 2008

A Systematic Review and Network Meta-Analysis to Evaluate the Comparative Efficacy of Interventions for Unfit Patients with Chronic Lymphocytic Leukemia.

INTRODUCTION: Rituximab plus fludarabine and cyclophosphamide (RFC) is the standard of care for fit patients with untreated chronic lymphocytic leukemia (CLL); however, its use is limited in 'unfit' (co-morbid and/or full-dose F-ineligible) patients due to its toxicity profile. We conducted a systematic review and Bayesian network meta-analysis (NMA) to determine the relative efficacy of commercially available interventions for the first-line treatment of unfit CLL patients. METHODS: For inclusion in the NMA, studies had to be linked via common treatment comparators, report progression-free survival (PFS), and/or overall survival (OS), and meet at least one of the five inclusion criteria: median cumulative illness score >6, median creatinine clearance ≤70 mL/min, existing co-morbidities, median age ≥70 years, and no full-dose F in the comparator arm. A manual review, validated by external experts, of all studies that met at least one of these criteria was also performed to confirm that they evaluated first-line therapeutic options for unfit patients with CLL. RESULTS: In unfit patients, the main NMA (five studies for PFS and four for OS) demonstrated clear preference in terms of PFS for obinutuzumab + chlorambucil (G-Clb) versus rituximab + chlorambucil (R-Clb), ofatumumab + chlorambucil (O-Clb), fludarabine and chlorambucil (median hazard ratios [HRs] 0.43, 0.33, 0.20, and 0.19, respectively), and a trend for better efficacy versus rituximab + bendamustine (R-Benda) and RFC-Lite (median HR 0.81 and 0.88, respectively). OS results were generally consistent with PFS data, (median HR 0.48, 0.53, and 0.81, respectively) for G-Clb versus Clb, O-Clb, and R-Clb 0.35 and 0.81 versus F and R-Benda, respectively); however, the OS findings were associated with higher uncertainty. Treatment ranking reflected improved PFS and OS with G-Clb over other treatment strategies (median rank of one for both endpoints). CONCLUSION: G-Clb is likely to show superior efficacy to other treatment options selected in our NMA for unfit treatment-naïve patients with CLL. FUNDING: F. Hoffmann-La Roche Ltd

A Hidden Markov Model for Analysis of Frontline Veterinary Data for Emerging Zoonotic Disease Surveillance

Surveillance systems tracking health patterns in animals have potential for early warning of infectious disease in humans, yet there are many challenges that remain before this can be realized. Specifically, there remains the challenge of detecting early warning signals for diseases that are not known or are not part of routine surveillance for named diseases. This paper reports on the development of a hidden Markov model for analysis of frontline veterinary sentinel surveillance data from Sri Lanka. Field veterinarians collected data on syndromes and diagnoses using mobile phones. A model for submission patterns accounts for both sentinel-related and disease-related variability. Models for commonly reported cattle diagnoses were estimated separately. Region-specific weekly average prevalence was estimated for each diagnoses and partitioned into normal and abnormal periods. Visualization of state probabilities was used to indicate areas and times of unusual disease prevalence. The analysis suggests that hidden Markov modelling is a useful approach for surveillance datasets from novel populations and/or having little historical baselines

Continuité documentaire du lycée à l'Université : résultats d'une expérimentation originale de formation à l'information entre documentalistes de lycées, bibliothécaires en universités et chercheurs en Sciences de l'Information

International audienc

Bibliothèques numériques : la nécessaire médiation

International audienc

L'interface de recherche d'information du Visual...Catalog : un outil innovant à « double détente »

International audienc