ArticleThe patient2014
Quality of life in organ transplant recipients participating in an online transplant community.
Article in The patient, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.British journal of clinical pharmacology · 2015Pooled it
- Health Social Media and Patient-Centered Care: Buzz or Evidence? Findings from the Section "Education and Consumer Health Informatics" of the 2015 Edition of the IMIA Yearbook.Yearbook of medical informatics · 2015Pooled it
- Tissue Injury Protection: The Other Face of Anticoagulant Treatments in the Context of Ischemia and Reperfusion Injury with a Focus on Transplantation.International journal of molecular sciences · 2023Review
- Article
- Article
- A Digital Library for Increasing Awareness About Living Donor Kidney Transplants: Formative Study.JMIR formative research · 2020Article
- User Perspectives of a Web-Based Data-Sharing Platform (Open Humans) on Ethical Oversight in Participant-Led Research: Protocol for a Quantitative Study.JMIR research protocols · 2018Article
- Experiences of supportive care when waiting for a lung re-transplantation.SAGE open medicine · 2017Article
- An Innovative Approach to Informing Research: Gathering Perspectives on Diabetes Care Challenges From an Online Patient Community.Interactive journal of medical research · 2015Article
- Video Q&A: Patients leading the direction of clinical research--an interview with Paul Wicks.BMC medicine · 2014Article
- Adaptation and validation of the Treatment Burden Questionnaire (TBQ) in English using an internet platform.BMC medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe PatientsLikeMe Organ Transplants online community allows patients to share detailed health information for research.
objectivesThe objectives of our study were to describe and contrast data collected through an online community with the broader organ transplant population.
methodsQuantitative data were examined with respect to basic demographic characteristics and quantitative data including treatment, symptoms, side effects, and the PatientsLikeMe Quality of Life (PLMQOL) scale. Qualitative data including forum discussion posts and treatment evaluations were examined to support future development of standardized questions that could be added to the platform. Online data were compared with US national registry data from the United Network for Organ Sharing (UNOS).
resultsWithin 30 days of account creation, 1,924 single-organ transplant patients provided spontaneous, patient-reported data in the form of 915 reported symptoms, 938 treatment episodes, and 1,215 PLMQOL assessments. Relative to patients in the UNOS registry, online participants were more likely to be female, younger, and white. Lung transplant patients had worse quality-of-life scores than other organs. Average organ transplant quality-of-life scores were most similar to those of HIV patients, faring better than patients with epilepsy, fibromyalgia, mood disorders, Parkinson's disease, multiple sclerosis, or ALS. Site users generated 2,169 posts to 346 unique topic threads in the transplants forum.
conclusionsOrgan transplant patients are willing to report detailed health data through online communities across key domains-symptoms, treatment effects, and generic quality of life-that constitute the essential core of patient-reported outcomes. Patient-reported outcomes captured online have the potential to accelerate learning about patient experiences but suffer methodological challenges that must be overcome to maximize their utility.
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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.