Observational studyBMC cancer2022
Understanding the lived experience of lung cancer: a European social media listening study.
Observational study in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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Who cites it
16 citing papers in PubMed, 22 citations in OpenAlex.
- Using Social Media Listening to Understand the Pressure Injury Experience: A Qualitative Descriptive Study.JMIR nursing · 2026Article
- Lung cancer education on social media: use patterns and content preferences from a cross-sectional study.Journal of thoracic disease · 2026Article
- Extracting Quality of Life Information of Patients Diagnosed With Breast Cancer From Health Care Online Forum Posts: Data Feasibility Study.JMIR cancer · 2026Article
- Social listening for the identification of information voids on early childhood caries based on Google search data.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- Exploring the Experiences and Perspectives of Patients With Early Breast Cancer, Caregivers, and Health Care Professionals: Italian Social Media Listening Study.JMIR cancer · 2026Article
- Bridging evidence worlds: policy and practice pathways for integrating clinical trials and real-world data in drug development and HTA.Frontiers in pharmacology · 2026Article
- Development of clinical recommendations to improve the care of people living with chronic pain as a long term or late effect of cancer and its treatment.British journal of pain · 2025Article
- Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic.Journal of medical Internet research · 2025Article
- Democratizing social media for health research: LLM-powered data analytics platform for NCDs.PloS one · 2025Article
- Understanding stakeholders' experience with sickle cell disease by social media listening across Europe.Frontiers in genetics · 2025Article
- Best practices for the collection and analysis of patient experience data from social media for patient-focused drug development.Frontiers in medicine · 2025Review
- Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators.Frontiers in medicine · 2024Article
- Patient Perception and Self-Reported Outcomes with Presbyopia-Correcting Intraocular Lenses (PCIOLs): A Social Media Listening Study.Ophthalmology and therapy · 2024Article
- Understanding the Needs and Lived Experiences of Patients With Graft-Versus-Host Disease: Real-World European Public Social Media Listening Study.JMIR cancer · 2023Article
- Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.JMIR cancer · 2023Article
- Neoadjuvant PD-1 Blockade in Non-Small Cell Lung Cancer: Current perspectives and Moving Forward.OncoTargets and therapy · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media platforms are increasingly being used by stakeholders to generate, access, and share health-related information and experiences. Lung cancer is the most common cancer, impacting > 2 million patients globally. This observational study utilized a social listening approach to analyze social media trends and gain insights into stakeholder perceptions of lung cancer.
methodsThis social media study retrospectively collated data from open access blogs, forums, and social networking sites. Social media posts were collected between June 2019-May 2020 from 14 European countries. Using social media aggregator tools, posts comprising lung cancer and non-small cell lung cancer-specific terms were extracted. Manual and automated relevancy algorithms filtered the extracted information to provide the relevant dataset. This contextualized dataset was further mined to generate the final data for analysis.
resultsOf 1360 conversations analyzed, 42% were generated by patients/caregivers and 14% by healthcare professionals (HCPs). A majority of patients were 51-70 years old (approximately 50%) and 91% (n = 500/550) had late-stage cancer. Treatment (35%) and disease awareness (30%) were among the most discussed topic of the patient journey. Although the overall treatment sentiment was neutral, chemotherapy was the treatment type with the highest associated negative sentiment (28%); fewer negative sentiments were associated with immunotherapy (9%) and targeted therapy (2%), due to perceptions of longer survival outcomes and fewer side effects. In conversations that discussed clinical endpoints, "survivability" and "overall survival" (47 and 30%, respectively; n = 539) were most frequently mentioned by stakeholders. HCPs mostly used technical terms, whereas patients and caregivers used colloquial terms such as "getting rid of cancer". Emotional wellness was identified to have a huge impact on quality of life in lung cancer. Delay or treatment cancellations due to COVID-19, lack of effective treatments and funding, and lack of empathy by physicians emerged as the key unmet needs among patients/caregivers.
conclusionsSocial listening proved to be an effective tool to explore stakeholders' perceptions and their key unmet needs, typically not available in published literature or databases, and provides HCPs with valuable insights into the distress, doubts, and needs of lung cancer patients and caregivers.
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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.