ArticleNPJ digital medicine2018
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: An analysis of Twitter posts.
Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 2 of them syntheses that pooled it.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Light therapy for sleep disturbance comorbid depression in relation to neural circuits and interactive hormones-A systematic review.PloS one · 2023Pooled it
- A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.International journal of medical informatics · 2019Pooled it
- Sleep and Headache Disorders: What a Clinician Needs to Know.Current neurology and neuroscience reports · 2026Review
- Pharmacovigilance in the digital age: gaining insight from social media data.Experimental biology and medicine (Maywood, N.J.) · 2025Review
- Outdoor Artificial Light at Night and Insomnia-Related Social Media Posts.JAMA network open · 2024Article
- The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review.JMIR public health and surveillance · 2024Article
- Patient safety discourse in a pandemic: a Twitter hashtag analysis study on #PatientSafety.Frontiers in public health · 2023Article
- Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.Journal of personalized medicine · 2022Article
- Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.Journal of medical Internet research · 2021Article
- Perceptions of opioid use and impact on quality of life in patients with musculoskeletal conditions within online health community forums.Rheumatology advances in practice · 2021Article
- Impacts of different methylprednisolone administration routes in patients with sudden hearing loss or Meniere's disease.Journal of otology · 2020Article
- Mining Social Media Data for Biomedical Signals and Health-Related Behavior.Annual review of biomedical data science · 2020Article
- Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR.Drug safety · 2020Article
- How Do Glucocorticoids Used in Rheumatic Disease Affect Body Weight? A Narrative Review of the Evidence.Arthritis care & research · 2020Review
- What does digitalization hold for the creation of real-world evidence?Rheumatology (Oxford, England) · 2020Review
- Predicting Infectious Disease Using Deep Learning and Big Data.International journal of environmental research and public health · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
In recent years, social media websites have been suggested as a novel, vast source of data which may be useful for deriving drug safety information. Despite this, there are few published reports of drug safety profiles derived in this way. The aims of this study were to detect and quantify glucocorticoid-related adverse events using a computerised system for automated detection of suspected adverse drug reactions (ADR) from narrative text in Twitter, and to compare the frequency of specific ADR mentions within Twitter to the frequency and patterns of spontaneous ADR reporting to a national drug regulatory body. Of 159,297 tweets mentioning either prednisolone or prednisone between 1
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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.