ReviewNeuro-oncology practice2020
Social media partnerships with patient organizations for neuro-oncology patient recruitment.
Review in Neuro-oncology practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Engagement Methods in Brain Tumor Genomic Research: Multimethod Comparative Study.Journal of participatory medicine · 2025Article
- Digital Transformation in Patient Organizations: Interview and Focus Group Study.Journal of medical Internet research · 2025Article
- Social media "SoMe" in neuro-oncology: a review of the literature.Journal of neuro-oncology · 2025Review
- Instagram as an Educational Opportunity for Neurology and Neuroscience.Neurology. Education · 2024Article
- The Use of Social Media to Express and Manage Medical Uncertainty in Dyskeratosis Congenita: Content Analysis.JMIR infodemiology · 2024Article
- Article
- The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach.JMIR formative research · 2022Article
- Recruitment and Retention of Women Living With HIV for Clinical Research: A Review.AIDS and behavior · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundIn neuro-oncology, traditional methods of enrolling the large numbers of participants required for studies of disease etiology and treatment response are costly, labor intensive, and may not include patients in regions without tumor registries.
methodsIn the Yale Acoustic Neuroma (AN) Study and International Low-Grade Glioma (LGG) Registry, we partnered with several brain tumor patient organizations to develop social media enrollment campaigns and use web-based data collection resources at the Yale University School of Public Health to test alternative methods to enroll neuro-oncology patients for epidemiologic study.
resultsIn the AN study, we enrolled 1024 patients over 2 years. Of these, 865 patients completed the online questionnaire, 697 returned written consent, 583 sent a pathology report, and 569 returned a saliva specimen. The completed 569 participants did not differ by age or treatment from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) data but were more likely to be female (67% vs 52%) and white (94.8% vs 84%). Patients learned of the study through the Acoustic Neuroma Association (ANA) website (61.3%), ANA support group members (18%), and social media (primarily Facebook). Costs per patient enrolled were approximately 10% to 20% that of traditional registry-based enrollment methods. Results for the LGG study were similar.
conclusionsAlthough additional effort will be required to ensure a diverse participant population, partnership with established patient organizations along with use of web-based technology and social media allowed for the successful enrollment of neuro-oncology patients at a fraction of the cost relative to traditional methods.
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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.