Evidence map›Paper›PMID 29516200›Full record

ReviewCurrent rheumatology reports2018

How Can We Improve Disease Education in People with Gout?

Theodore R Fields, Adena Batterman

Registry-linked trialAbstract readReview
In one paragraph

Review in Current rheumatology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07004231 (Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07004231 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Using Gout Buddy to Enhance Dietary Literacy and Gout Management-A Mixed Method Clinical Trial

TypeinterventionalSponsorSingHealth PolyclinicsRan2025 to 2026Enrolled110ConditionsGoutArmsGOUT Buddy, an AI chatbot
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Theodore R FieldsDivision of Rheumatology, Hospital for Special Surgery, 535 East 70th St., Suite 848-West, New York, NY, 10021, USA. fieldst@hss.edu.
Adena BattermanDepartment of Social Work Programs, Hospital for Special Surgery, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewGout management is currently suboptimal despite excellent available therapy. Gout patient education has been shown to enhance medication adherence and self-management, but needs improvement. We explored the literature on gout patient education including gaps in gout patient knowledge; use of written materials; in-person individual and group sessions; education via nurses, pharmacists, or multi-disciplinary groups; and use of phone, web-based, mobile health app, and text messaging educational efforts. RECENT

findingsNurse-led interventions have shown significant improvement in reaching urate goals. Pharmacist-led programs have likewise succeeded, but to a lesser degree. A multi-disciplinary approach has shown feasibility. Needs-assessments, patient questionnaires, and psychosocial evaluations can enhance targeted education. An interactive and patient-centered approach can enhance gout educational interventions. Optimal programs will assess for and address educational needs related to knowledge gaps, health literacy, race, gender, socio-economic status, and level of social support.

Indexed as

GoutGout SuppressantsHealth Knowledge, Attitudes, PracticeHumansMedication AdherenceNeeds AssessmentPatient Education as TopicGout SuppressantsAdherenceCrystal arthritisGoutMulti-disciplinary carePatient educationSelf-management

Identifiers

PMID29516200
PMCPMC5842278

What OpenQuestion holds

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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.