ArticleHealth communication2018
Sentiment Analysis of an Online Breast Cancer Support Group: Communicating about Tamoxifen.
Article in Health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Developing a standardized protocol for computational sentiment analysis research using health-related social media data.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- How Cancer Online Support Groups Work, for Whom, and in What Circumstances: Realist Review.Journal of medical Internet research · 2026Review
- Trauma narratives and healing of offspring caregivers of breast cancer patients: a mixed qualitative methods study.BMC psychology · 2025Article
- Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning-Based Sentiment Analysis.Journal of medical Internet research · 2025Article
- Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.JMIR cancer · 2025Article
- Differences in Fear and Negativity Levels Between Formal and Informal Health-Related Websites: Analysis of Sentiments and Emotions.Journal of medical Internet research · 2024Article
- Article
- Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis.Journal of medical Internet research · 2023Article
- Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis.JMIR formative research · 2023Article
- KIF20A is a Prognostic Marker for Female Patients with Estrogen Receptor-Positive Breast Cancer and Receiving Tamoxifen as Adjuvant Endocrine Therapy.International journal of general medicine · 2023Article
- Article
- Systematic adaptation of the adherence improving self-management strategy to support breast cancer survivors' adherence to adjuvant endocrine therapy: An intervention mapping approach.European journal of cancer care · 2022Review
- Sentiment analysis of social media posts on pharmacotherapy: A scoping review.Pharmacology research & perspectives · 2020Article
- Patients With Cancer and COVID-19: A WhatsApp Messenger-Based Survey of Patients' Queries, Needs, Fears, and Actions Taken.JCO global oncology · 2020Article
- Sentiment Analysis in Health and Well-Being: Systematic Review.JMIR medical informatics · 2020Review
- Codifying Online Social Support for Breast Cancer Patients: Retrospective Qualitative Assessment.Journal of medical Internet research · 2019Article
- Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life.Journal of diabetes science and technology · 2019Article
- Applying the theory of planned behavior to examine adjuvant endocrine therapy adherence intentions.Psycho-oncology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
A better understanding of the breast cancer online narrative is important for a clearer conceptualizing of the role of online platforms in mediating health-related support. Sentiment analysis was conducted on a breast cancer online support group regarding Tamoxifen to understand users' emotions and opinions. This analysis was then contextualized within online social support literature. Out of the 498 users, the most active users were 80% more positive than least active users, while least active users were 48% more negative than most active ones; both differences were statistically significant. The higher the stage of cancer a user had, the less likelihood that she would have posted, and if she were to post, the post would have focused on her side effects and the anxiety/sadness that tailgates those side effects. The lower the stage of cancer a user had, the more likelihood that she would have posted, additionally remained active on the forum, and encouraged more (online) social support. This finding suggests that the online support platform may provide a context that exacerbates support for like-minded users where stronger ties are created around a specific sentiment within the community with less connection from those with dissimilar sentiments to the dominant group.
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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.