ArticleACR open rheumatology2020
Patient Perspectives on Gout and Gout Treatments: A Patient Panel Discussion That Informed the 2020 American College of Rheumatology Treatment Guideline.
Article in ACR open rheumatology, 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, 11 citations in OpenAlex.
- Community engagement in health guidelines and other normative products: a methodological review.Bulletin of the World Health Organization · 2025Review
- Determinants of Self-Management Behavior in Gout: A Scoping Review.Arthritis care & research · 2025Article
- Data Insights on the Risks of Local Heat and Massage in Gouty Arthritis Treatment.Journal of orthopaedic case reports · 2025Article
- The efficacy of a low-dose combination of febuxostat and benzbromarone versus each drug used alone for the treatment of gout.Frontiers in medicine · 2025Article
- Patient Perspectives and Preferences Regarding Gout and Gout Management: Impact on Adherence.Journal of Korean medical science · 2021Article
- Contentious Issues in Gout Management: The Story so Far.Open access rheumatology : research and reviews · 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
3 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe objective of this study was to understand patient perspectives to inform the voting process for the 2020 American College of Rheumatology (ACR) gout treatment guideline.
methodsWe conducted a panel meeting of eight patients with gout in Birmingham, Alabama. Patients were referred to the project by private and academic rheumatologists in the Birmingham area. All participants received orientation related to the guideline development process and evidence rating at the beginning of the meeting. With the help of a physician moderator, the patient panel reviewed nine key clinical scenarios and the supporting evidence and discussed their views and perspectives related to each. They also provided their preference for one of the two treatment options for each clinical scenario.
resultsThe patient panel included eight men with gout. Of these eight participants, seven received their gout care from a rheumatologist and one from a primary care physician. Patients favored more active urate-lowering therapy (ULT) management and interventional management of gout flares to achieve desired clinical outcomes, resulting in unanimous consensus on choices related to six clinical scenarios: ULT initiation in gout, treat-to-target management strategy, use of pegloticase for refractory gout, starting ULT during a gout flare, using injectable treatments (over oral) for acute gout flares, and use of febuxostat in people with cardiovascular disease.
conclusionKnowledge of patient preferences and values is valuable and was influential for the development of the 2020 ACR gout treatment guideline.
Identifiers
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.