ArticleKidney3602020
Impact of Social Media on Self-Referral Patterns for Living Kidney Donation.
Article in Kidney360, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Patients' Attitudes on the Use of Expanded Outreach to Find a Kidney Donor: A Mixed-Methods Study.Kidney medicine · 2026Article
- Article
- KEeP ACTIVe Club Study: Kidney Transplant Recipients' Experiences of a Physical Activity and Social Interaction Virtual Group.Canadian journal of kidney health and disease · 2024Article
- Utilizing Social Media to Identify Potential Living Donors: Learning from US Living Donor Programs.Current transplantation reports · 2022Review
- Self-Referral Patterns of Living Kidney DonorsKidney360 · 2020Article
- Social Media and Organ Donation: Pros and Cons.Indian journal of nephrologyReview
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Background: As the organ-shortage crisis continues to worsen, many patients in need of a kidney transplant have turned to social media to find a living donor. The effect of social media on living kidney donation is not known. The goal of this study is to investigate the influence of social media on those interested in donating a kidney. Methods: Self-referrals for living kidney donation from December 2016 to March 2019 were retrospectively reviewed. Age, sex, race, and relationship of individuals petitioned through social media (SM) were compared with those petitioned through verbal communication (VC). Data were analyzed using chi-squared tests, with z tests of column proportions, and multivariable logistic regression. Results: A total of 7817 individuals (53% SM, 36% VC, and 10% other) were self-referred for living kidney donation. The analysis sample included 6737 adults petitioned through SM ( Conclusions: The use of SM to petition living kidney donors is prevalent and accounts for a greater proportion of respondents compared with VC. SM respondents tend to be younger, female, and altruistic compared with VC. Directed altruistic interest in kidney donation is almost exclusively generated through SM.
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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.