Rheumatology on Reddit: A Descriptive Analysis

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 21, 2024

Background: Over the past decade, social media data have gained special interest across various sectors, specially in medicine where these are being utilized for a variety of purposes, including surveillance, pharmacovigilance, or patient recruitment. Among platforms, Reddit is one most widely used worldwide. The way which this network organises information, specific subreddits, makes it possible to estimate popularity and relevance topics, medical ones. Although there been multiple studies rheumatology using media, none detailed different rheumatology-specific communities that exist within Reddit. Therefore, objective study was twofold: find rheumatology-related describe their characteristics, number subscribers, users, temporal behavior among others. Methods: The search engine, along with list 21 commonly terms, identify candidate subreddits. subreddit's name, creation date, public status, size, activity since May 2023 2024 information collected. Exclusion criteria were applied narrow down results. Only subreddits over 1000 active, strong affinity recoverable through Pushshift.io extracted. Different metrics statistics computed characterise identified previous step (e.g., users who participate each subreddit, messages, thread length, word count per submissions, activities, commented threads subreddit so on). Continuous variables summarised median first third quartiles (Q1–Q3). Results: Of 83 potential 20 met inclusion criteria. oldest r/Fibromyalgia. subscribers ranged from 2k (r/Behcets) 70k (r/Fibromyalgia) ratio comments/submissions higher r/ankylosingspondylitis (12.36). Almost exponential growth seen all 2016-2017. r/Fibromyalgia has highest messages day. Peak occurs between 16:00 23:00 majority concentrated second half year. patient's age common concern Another majorn COVID vaccine its impact on patients RMDs (i.e., r/mctd, r/costochondritis, r/Sjogrens, r/Uveitis). Some posts r/gout Ask Me Anything sessions, professionals respond questions. This highlights exchanging healthcare via media. Conclusions: provides valuable platform studying concerns, needs, perceptions about as evidenced by diversity communities, extent size. paper contributes understand how rheumatic musculoskeletal utilize discuss health-related potentially informing better support engagement strategies digital spaces.

Language: Английский

Two Decades of Rheumatology Research (2000-2023): A Dynamic Topic Modeling Perspective

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 9, 2024

Abstract Background Rheumatology has experience notably changes in last decades. New drugs, including biologic agents and janus kinase inhibitors, have bloosom. Concepts such as window of opportunity , arthralgia suspicious for progression or difficult-to-treat rheumatoid arthritis appeared; new management approaches strategies treat-to-target become popular. Statistical learning methods, gene therapy, telemedicine precision medicine are other advancements that gained relevance the field. To better characterise research landscape advances rheumatology, automatic efficient based on natural language processing should be used. The objective this study is to use topic modeling techniques uncover key topics trends rheumatology conducted 23 years. Methods This analysed 96,004 abstracts published between 2000 December 31, 2023, drawn from 34 specialised journals obtained PubMed. BERTopic, a novel approach considers semantic relationships among words their context, was used topics. Up 30 different models were trained. Based number topics, outliers coherence score, two them finally selected, manually labeled by rheumatologists. Word clouds hierarchical clustering visualizations computed. Finally, hot cold identified using linear regression models. Results Abstracts classified into 45 47 most frequent arthritis, systemic lupus erythematosus osteoarthritis. Expected COVID-19 JAK inhibitors after conducting dynamic modeling. Topics spinal surgery bone fractures years, however, antiphospholipid syndrome, septic lost momentum. Conclusions Our utilized advanced analyse landscape, identify themes emerging trends. results highlight varied nature research, illustrating how interest certain shifted over time.

Language: Английский

Occupation Recognition and Exploitation in Rheumatology Clinical Notes: Employing Deep Learning Models for Named Entity Recognition and Knowledge Discovery in Electronic Health Records

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 8, 2024

ABSTRACT Occupation is considered a Social Determinant of Health (SDOH) and its effects have been studied at multiple levels. Although the inclusion such data in Electronic Record (EHR) vital for provision clinical care, specially rheumatology where work disability prevention essential, occupation information often either not routinely documented or captured an unstructured manner within conventional EHR systems. Encouraged by recent advances natural language processing deep learning models, we propose use novel architectures (i.e., transformers) to detect mentions notes tertiary hospital, whom those occupations belongs. We also aimed evaluate demographic characteristics that influence collection this SDOH; association between patients’ diagnosis. Bivariate multivariate logistic regression analysis were conducted purpose. A Spanish pre-trained model, RoBERTa, fine-tuned with biomedical texts was used occupations. The best model achieved F1-score 0.725 identifying mentions. Moreover, highly disabling mechanical pathology diagnoses back pain, muscle disorders) associated higher probability collection. Ultimately, determined professions most closely more than ten categories muscu-loskeletal disorders. Highlights Deep models hold significant potential structuring leveraging Diagnoses related Cleaners, helpers, social workers are linked pathologies as pain

Language: Английский