TEC-ADHERE: Real-World Persistence and Adherence on Dimethyl Fumarate in Patients with Relapsing-Remitting Multiple Sclerosis in the French OroSEP Patient-Support Program.

Introduction: Treatment persistence and adherence are essential for achieving therapeutic goals in patients with multiple sclerosis (MS). OroSEP is an independent patient-support program (PSP) in France for patients with relapsing-remitting MS (RRMS) receiving oral disease-modifying therapies.

Methods: TEC-ADHERE (NCT04221191; 08/19/2019-09/15/2022) was a prospective, non-interventional, phase 4 study to assess the effect of OroSEP on persistence and adherence to dimethyl fumarate (DMF; Tecfidera™) in patients with RRMS.

Evaluation of BERT-Based Models on Patient Data from French Social Media.

With the objective of extracting new knowledge about rare diseases from social media messages, we evaluated three models on a Named Entity Recognition (NER) task, consisting of extracting phenotypes and treatments from social media messages. We trained the three models on a dataset with social media messages about Developmental and Epileptic Encephalopathies and more common diseases. This preliminary study revealed that CamemBERT and CamemBERT-bio exhibit similar performance on social media testimonials, slightly outperforming DrBERT.

The EMMY longitudinal, cohort study: real-world data to describe multiple myeloma management and outcomes as more therapeutic options emerge.

The therapeutic management of patients with multiple myeloma (MM) is complex. Despite substantial advances, MM remains incurable, and management involves cycles of treatment response, disease relapse, and further therapy. Currently, evidence to support the therapeutic decision is limited.

Effectiveness and safety of belantamab mafodotin in patients with relapsed or refractory multiple myeloma in real-world setting: The ALFA study.

Objectives: The aim of this noninterventional, retrospective ALFA study was to describe belantamab mafodotin effectiveness and safety in patients with relapsed/refractory multiple myeloma in a real-world setting in France.

Methods: Response rate, progression-free survival (PFS), overall survival (OS), and safety were assessed.

Results: Among the 184 patients initiating belantamab mafodotin treatment, the overall response rate was 32.

Factors related to increased alcohol misuse by students compared to non-students during the first Covid-19 lockdown in France: the Confins study.

Background: The closure of bars and lockdowns related to the Covid-19 pandemic changed alcohol use levels in France during the spring of 2020. We wondered whether this sudden cessation of social interactions impacted students more than non-students and what factors specific to students would explain the increase in alcohol misuse. The aims of this study were to compare self-reported changes in alcohol misuse (alcohol intake and binge-drinking frequency) during the first Covid-19 lockdown from March 17 to May 10, 2020, between French students and non-students and describe factors associated with this alcohol misuse in each subgroup.

Real-life effectiveness of carfilzomib in patients with relapsed multiple myeloma receiving treatment in the context of early access: The CARMYN study.

The real-life retrospective observational study CARMYN aimed at investigating the long-term efficacy and safety of carfilzomib in combination with dexamethasone and lenalidomide (KRd, 159 patients). These patients (62% in first and 38% in second relapse, median age 62 yo) were treated between 02/2014 and 02/2017. Most had been pre-exposed to bortezomib (98.

Patients' testimonies, feelings, complaints and emotional experiences with dermatoses on open social media: The French infodemiologic patient's free speech study.

Background: Dermatoses represent a significant burden. Patients and their caregivers can turn to social media and digital communities to exchange with each other. These public exchanges constitute real-life data that can be analysed to better understand the patients' feelings and expectations, and the daily difficulties encountered.

Consistent patterns of common species across tropical tree communities.

Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge.

Randomised, double-blind, placebo-controlled trial of glycopyrronium in children and adolescents with severe sialorrhoea and neurodisabilities: protocol of the SALIVA trial.

Introduction: Severe sialorrhoea is a common, distressing problem in children/adolescents with neurodisabilities, which has adverse health and social consequences. The SALIVA trial is designed to evaluate the efficacy and safety of a paediatric-specific oral solution of glycopyrronium along with its impact on quality-of-life (QoL), which has been lacking from previous trials of sialorrhoea treatments.

Methods And Analysis: A double-blind, placebo-controlled, randomised phase IV trial is ongoing in several centres across France.

Characteristics of Severe Non-Eosinophilic Asthma: Analysis of Data from 1075 Patients Included in the FASE-CPHG Study.

Purpose: Data on severe non-eosinophilic asthma are scarce. Moreover, as compared with eosinophilic asthma, non-eosinophilic asthma less frequently benefits from the latest therapeutic advances. This study aimed to highlight differences between non-eosinophilic and eosinophilic asthma as they may help the development of new therapeutic agents.

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

Background: The use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online.

Objective: This study aims to develop a tool measuring DVL and assess its psychometric properties.

Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media.

Background: Long COVID-a condition with persistent symptoms post COVID-19 infection-is the first illness arising from social media. In France, the French hashtag #ApresJ20 described symptoms persisting longer than 20 days after contracting COVID-19. Faced with a lack of recognition from medical and official entities, patients formed communities on social media and described their symptoms as long-lasting, fluctuating, and multisystemic.

Who is hesitant about Covid-19 vaccines? The profiling of participants in a French online cohort.

Objectives: To report the characteristics of vaccine-hesitant individuals in a French-speaking adult population in the context of the SARS-CoV-2 pandemic; and to identify predictors of hesitancy about Covid-19-related vaccines.

Methods: Between April and May 2020, 1640 French-speaking adults participating in an online cohort were classified according to their attitudes towards vaccination as: "hesitant", "anti-vaccination", and "pro-vaccination". Descriptive statistics, univariate multinomial regression models and multivariate analyses were compiled and carried out.

Social Media Platforms Listening Study on Atopic Dermatitis: Quantitative and Qualitative Findings.

Background: Atopic dermatitis (AD) is a chronic, pruritic, inflammatory disease that occurs most frequently in children but also affects many adults. Social media have become key tools for finding and disseminating medical information.

Objective: The aims of this study were to identify the main themes of discussion, the difficulties encountered by patients with respect to AD, the impact of the pathology on quality of life (QoL; physical, psychological, social, or financial), and to study the perception of patients regarding their treatment.

A New Method to Extract Health-Related Quality of Life Data From Social Media Testimonies: Algorithm Development and Validation.

Background: Monitoring social media has been shown to be a useful means to capture patients' opinions and feelings about medical issues, ranging from diseases to treatments. Health-related quality of life (HRQoL) is a useful indicator of overall patients' health, which can be captured online.

Objective: This study aimed to describe a social media listening algorithm able to detect the impact of diseases or treatments on specific dimensions of HRQoL based on posts written by patients in social media and forums.

Febrile neutropenia prophylaxis, G-CSF physician preferences: discrete-choice experiment.

Objectives: Febrile neutropenia (FN) commonly occurs during cancer chemotherapy. Prophylaxis with granulocyte colony-stimulating factors (G-CSFs) is known to reduce the severity and incidence of FN and infections in patients with cancer. Despite the proven efficacy, G-CSFs are not always prescribed as recommended.

Mental health condition of college students compared to non-students during COVID-19 lockdown: the CONFINS study.

Objectives: To estimate the effect of student status on mental health condition during COVID-19 general lockdown in France.

Design: Cross-sectional analysis comparing students and non-students recruited in the same study.

Setting: Participants of the web-based CONFINS study implemented during the general lockdown in France in spring 2020.

Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France.

The exhaustive automatic detection of symptoms in social media posts is made difficult by the presence of colloquial expressions, misspellings and inflected forms of words. The detection of self-reported symptoms is of major importance for emergent diseases like the Covid-19. In this study, we aimed to (1) develop an algorithm based on fuzzy matching to detect symptoms in tweets, (2) establish a comprehensive list of Covid-19-related symptoms and (3) evaluate the fuzzy matching for Covid-19-related symptom detection in French tweets.

Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling.

Background: During the COVID-19 pandemic, numerous countries, including China and France, have implemented lockdown measures that have been effective in controlling the epidemic. However, little is known about the impact of these measures on the population as expressed on social media from different cultural contexts.

Objective: This study aims to assess and compare the evolution of the topics discussed on Chinese and French social media during the COVID-19 lockdown.

Acceptance of a Covid-19 vaccine is associated with ability to detect fake news and health literacy.

Background: During the Covid-19 pandemic fake news has been circulating impacting on the general population's opinion about a vaccine against the SARS-CoV-2. Health literacy measures the capacity of navigating health information.

Methods: We used data from a prospective national online cohort of 1647 participants.

Physicians' Perceptions of the Use of a Chatbot for Information Seeking: Qualitative Study.

Background: Seeking medical information can be an issue for physicians. In the specific context of medical practice, chatbots are hypothesized to present additional value for providing information quickly, particularly as far as drug risk minimization measures are concerned.

Objective: This qualitative study aimed to elicit physicians' perceptions of a pilot version of a chatbot used in the context of drug information and risk minimization measures.