ArticleKidney medicine2022
Dialysis Organization Online Information on Kidney Failure Treatments: A Content Analysis Using Corpus Linguistics.
Article in Kidney medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Temporal Trends in Decisions to Forgo KRT.Kidney360 · 2026Article
- Kidney-therapy decision-making among older adults and caregivers: treatment beliefs, prognostic information, and health priorities.BMC nephrology · 2025Article
- Supporting Shared Decision-Making in Life-Altering Kidney Therapy Decisions for Older Adults: A Review.JAMA internal medicine · 2025Review
- The Role of Dialysis Organizations in Promoting and Facilitating Access to Nondialytic Treatment Options.Kidney medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rationale & Objective: Dialysis organizations' websites may influence patient decision making, but the websites have received almost no consideration. We investigated how/whether these websites present all kidney replacement therapy options and how the quality of life of these options is portrayed. Study Design: Content analysis using corpus linguistics (computer-assisted language analysis). Setting: Website content aimed at patients from the 2 major dialysis organizations' websites, totaling 226,968 words. The analysis took place from November 12, 2020, to March 30, 2021. Analytical Approach: We used linguistic software (AntConc) to document the frequencies of words needed to present treatment options and quality of life information. Results: Over both sites, dialysis mentions outstripped transplantation mentions. Organization A did not appear to reference conservative kidney management. Organization B mentioned dialysis more often than conservative management, at a ratio of 34:1. Organization A did not attribute symptoms to dialysis, whereas organization B had 12 mentions of dialysis-induced symptoms out of 87 total symptom references. Both organizations framed life on dialysis optimistically, suggesting that patients can continue to engage in "work," "sex," or "travel"; organization A referenced sex, work, and/or travel 123 times and organization B referenced these 262 times. Limitations: We used quantitative analysis and linked ideas with certain keywords. We did not conduct a detailed qualitative inquiry. Conclusions: The websites emphasized dialysis as a treatment for kidney failure, and the quality of life on dialysis was framed very optimistically. Qualitative studies of treatment modalities and the quality of life on dialysis in the patient-targeted material of dialysis organizations are needed.
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Registered trials
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