ArticleClinical rheumatology2017
Public health awareness of autoimmune diseases after the death of a celebrity.
Article in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 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
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.RMD open · 2019Pooled it
- Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Peaceful Death in Japanese YouTube Videos: Content and Network Analysis.JMIR formative research · 2026Article
- Celebrities influence on rheumatic diseases interest: a Google Trends analysis.Rheumatology international · 2024Article
- "Qui la voce sua soave": "Maria Callas' dermatomyositis"-art beyond disease and its stigma.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study.Tropical medicine and infectious disease · 2023Article
- Assessing the Capability of Government Information Intervention and Socioeconomic Factors of Information Sharing during the COVID-19 Pandemic: A Cross-Country Study Using Big Data Analytics.Behavioral sciences (Basel, Switzerland) · 2022Article
- Did the COVID-19 pandemic impact help-seeking behavior for seizure management? A Google Trends™ study.Epilepsy & behavior : E&B · 2022Article
- Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study.Journal of medical Internet research · 2021Article
- Natural Formulations: Novel Viewpoint for Scleroderma Adjunct Treatment.Journal of immunology research · 2021Review
- Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data.JMIR public health and surveillance · 2020Article
- Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.Journal of medical Internet research · 2020Article
- A review of ocular adverse events of biological anti-TNF drugs.Journal of ophthalmic inflammation and infection · 2020Review
- Weak Agonistic LPS Restores Intestinal Immune Homeostasis.Molecular therapy : the journal of the American Society of Gene Therapy · 2019Article
- THE MICHAEL JACKSON AND WINNIE HARLOW EFFECT: IMPACT ON VITILIGO AWARENESS ON THE INTERNET.The Journal of clinical and aesthetic dermatology · 2019Article
- Influence of Climate on Google Internet Searches for Pruritus Across 16 German Cities: Retrospective Analysis.Journal of medical Internet research · 2019Article
- From Rheumatology 1.0 to Rheumatology 4.0 and beyond: the contributions of Big Data to the field of rheumatology.Mediterranean journal of rheumatology · 2019Article
- What do people search online concerning the "elusive" fibromyalgia? Insights from a qualitative and quantitative analysis of Google Trends.Clinical rheumatology · 2017Article
- Readability of Wikipedia Pages on Autoimmune Disorders: Systematic Quantitative Assessment.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autoimmune disorders impose a high burden, in terms of morbidity and mortality worldwide. Vasculitis is an autoimmune disorder that causes inflammation and destruction of blood vessels. Harold Allen Ramis, a famous American actor, director, writer, and comedian, died on the February 24, 2014, of complications of an autoimmune inflammatory vasculitis. To investigate the relation between interests and awareness of an autoimmune disease after a relevant event such as the death of a celebrity, we systematically mined Google Trends, Wikitrends, Google News, YouTube, and Twitter, in any language, from their inception until October 31, 2016. Twenty-eight thousand eight hundred fifty-two tweets; 4,133,615 accesses to Wikipedia; 6780 news; and 11,400 YouTube videos were retrieved, processed, and analyzed. The Harold Ramis death of vasculitis resulted into an increase in vasculitis-related Google searches, Wikipedia page accesses, and tweet production, documenting a peak in February 2014. No trend could be detected concerning uploading YouTube videos. The usage of Big Data is promising in the fields of immunology and rheumatology. Clinical practitioners should be aware of this emerging phenomenon.
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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.