ArticleJCO clinical cancer informatics2019
Examining Public Communication About Kidney Cancer on Twitter.
Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis.JMIR cancer · 2024Article
- Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.JMIR cancer · 2023Article
- Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data.JMIR cancer · 2023Article
- Overview and characterization of penile cancer content across social media platforms.Frontiers in oncology · 2023Article
- Oncofertility and Fertility Preservation in Cancer Patients Across the Twitterverse.Frontiers in endocrinology · 2022Observational
- Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study.JMIR formative research · 2021Article
- How patients experience endocrine therapy for breast cancer: an online survey of side effects, adherence, and medical team support.Journal of cancer survivorship : research and practice · 2021Article
- Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts.JMIR diabetes · 2021Article
- Twitter as a Tool to Spread Communication Regarding Genitourinary Cancers During the COVID-19 Pandemic.Kidney cancer (Clifton, Va.) · 2021Article
- Coronavirus, Ageism, and Twitter: An Evaluation of Tweets about Older Adults and COVID-19.Journal of the American Geriatrics Society · 2020Article
- From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care.Yearbook of medical informatics · 2020Review
- A History of #BCSM and Insights for Patient-Centered Online Interaction and Engagement.Journal of patient-centered research and reviews · 2020Article
- Drug-Induced Liver Injury in a Patient with Nonsmall Cell Lung Cancer after the Self-Administration of Fenbendazole Based on Social Media Information.Case reports in oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
purposeSeveral studies have described the content of Twitter conversations about lung, breast, and prostate cancer, but little is known about how the public uses Twitter to discuss kidney cancer. We sought to characterize the content of conversations on Twitter about kidney cancer and the participants engaged in these dialogues.
methodsThis qualitative study analyzed the content of 2,097 tweets that contained the key words kidney cancer from August 1 to 22, 2017. Tweets were categorized by content domain of conversations related to kidney cancer on Twitter and user types of participants in these dialogues.
resultsAmong the 2,097 kidney cancer-related tweets analyzed, 858 (41.4%) were authored by individuals, 865 (41.2%) by organizations, and 364 (17.4%) by media sites. The most common content discussed was support (29.3%) and treatment (26.5%). Among the 2,097 tweets, 825 were unique tweets, and 1,272 were retweets. The most common unique tweets were about clinical trials (23.9%), most often authored by media sites. The most common retweets were about treatment (38.5%), most often authored by organizations.
conclusionTwitter dialogues about kidney cancer are most commonly related to support and treatment. Our findings provide insights that may inform the design of new interventions that use social media as a tool to improve communication of kidney cancer information. Additional efforts are needed to improve our understanding of the value and direct utility of social media in improving kidney cancer care.
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.