ArticleBMJ (Clinical research ed.)2006
Accuracy and self correction of information received from an internet breast cancer list: content analysis.
Article in BMJ (Clinical research ed.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- When People With Chronic Conditions Turn to Peers on Social Media to Obtain and Share Information: Systematic Review of the Implications for Relationships With Health Care Professionals.Journal of medical Internet research · 2023Pooled it
- Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review.Journal of medical Internet research · 2020Pooled it
- How Cancer Online Support Groups Work, for Whom, and in What Circumstances: Realist Review.Journal of medical Internet research · 2026Review
- From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients.Journal of participatory medicine · 2025Article
- A Double-Edged Sword: Quality and Credibility of Colon Cancer Screening Content on YouTube.Cureus · 2024Article
- Beyond the EHR: How Digital Health Tools Foster Participatory Health and Self-Care for Patients with Diabetes.American journal of medicine open · 2023Article
- Article
- A social media network analysis of trypophobia communication.Scientific reports · 2022Article
- Experiences, Motivations, and Perceived Impact of Participation in a Facebook-Based Support Group for Caregivers of Children and Youth With Complex Care Needs: Qualitative Descriptive Study.JMIR pediatrics and parenting · 2022Article
- Exploring the Use of a Facebook-Based Support Group for Caregivers of Children and Youth With Complex Care Needs: Qualitative Descriptive Study.JMIR pediatrics and parenting · 2022Article
- Longitudinal Changes of COVID-19 Symptoms in Social Media: Observational Study.Journal of medical Internet research · 2022Observational
- Exploring the actionability of healthcare performance indicators for quality of care: a qualitative analysis of the literature, expert opinion and user experience.BMJ quality & safety · 2021Review
- Adoption and Attitudes of eHealth Among People Living With HIV and Their Physicians: Online Multicenter Questionnaire Study.JMIR mHealth and uHealth · 2020Article
- Use and impact of an online community for hospital patients.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Dealing with internet-based information obtained by families of critically ill patients.Intensive care medicine · 2019Article
- Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum.JMIR medical informatics · 2018Article
- Sentiment Analysis of an Online Breast Cancer Support Group: Communicating about Tamoxifen.Health communication · 2018Article
- Are internet videos useful sources of information during global public health emergencies? A case study of YouTube videos during the 2015-16 Zika virus pandemic.Pathogens and global health · 2018Article
- How Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities.Journal of medical Internet research · 2018Article
- Review
1 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
3 authors.
Funding
Abstract
objectivesTo determine the prevalence of false or misleading statements in messages posted by internet cancer support groups and whether these statements were identified as false or misleading and corrected by other participants in subsequent postings.
designAnalysis of content of postings.
settingInternet cancer support group Breast Cancer Mailing List.
main outcome measuresNumber of false or misleading statements posted from 1 January to 23 April 2005 and whether these were identified and corrected by participants in subsequent postings.
results10 of 4600 postings (0.22%) were found to be false or misleading. Of these, seven were identified as false or misleading by other participants and corrected within an average of four hours and 33 minutes (maximum, nine hours and nine minutes).
conclusionsMost posted information on breast cancer was accurate. Most false or misleading statements were rapidly corrected by participants in subsequent postings.
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.