Observational studyRheumatology international2020
Back pain, ankylosing spondylitis and social media usage; a descriptive analysis of current activity.
Observational study in Rheumatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Identifying novel biomarkers for ankylosing spondylitis through proteomic profiling of serum-derived extracellular vesicles.Clinical and experimental medicine · 2025Article
- Using Natural Language Processing and Social Media Data to Understand the Lived Experience of People with Fibromyalgia.Healthcare (Basel, Switzerland) · 2024Article
- Using Twitter Data Analysis to Understand the Perceptions, Beliefs, and Attitudes about Pharmacotherapy Used in Rheumatology: An Observational Study.Healthcare (Basel, Switzerland) · 2023Article
- Social Media Use Among Members of the Assessment of Spondyloarthritis International Society: Results of a Web-Based Survey.Journal of medical Internet research · 2023Article
- Quality and readability of online information on plantar fasciitis and calcaneal spur.Rheumatology international · 2022Review
- Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study.JMIR formative research · 2021Article
- Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter.International journal of environmental research and public health · 2021Article
- Real-world experiences of the diagnosis process in Korean patients with ankylosing spondylitis based on a self-report questionnaire.The Journal of international medical research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media usage by back pain patients is a new and developing area. Analysing patterns of this online activity offers a new way to understand our patients' concerns and behaviour around disease. Large volume data can be evaluated on a scale not feasible through alternative methods. A cross sectional review of specific terms relating to 'back pain' (BP) and 'ankylosing spondylitis' (AS) were tracked internationally on popular websites, blogs and boards over two 3 month periods, in 2016 and 2019. Relevant co-terms were also tracked in these discussions, such as 'exercise', 'medication' and 'doctor'. The size of the current online BP conversation is significant; there were over 100,000 mentions/month across each study period, particularly 'low-' BP. Discussions about AS increased threefold between 2016 and 2019. More discussions took place online at the start of the week, and in the afternoons. Pregnancy, baby and mens' health resources were the most popular sites for BP chats. People posting about AS were mainly female (80%) and predominantly had an established diagnosis, with health forums hosting more of these discussions than for BP. Exercise was more commonly mentioned in the context of BP, whereas medications were more common in the AS conversations. Analysing online discussions about BP and AS helps to identify themes amongst patients. Some are seeking a diagnosis, support, or treatment information. Understanding the massive scale of online conversations could help clinicians adopt targeted approaches to increase patient identification, meet patient concerns better, and optimise engagement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.