A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Toward a valid definition of gout flare: results of consensus exercises using Delphi methodology and cognitive mapping. | LitMetric

AI Article Synopsis

  • The study aims to define key components of a gout flare for better clinical research.
  • The research utilized Delphi methodology with rheumatologists to gather consensus on essential elements, resulting in 21 items identified through expert discussions.
  • The final features for consideration include joint swelling, tenderness, warmth, pain severity, and functional impact, which need validation against existing definitions of gout flares.

Article Abstract

Objective: To identify, in people known to have gout, the testable, key components of a standard definition of gout flare for use in clinical research.

Methods: Consensus methodology was used to identify key elements of a gout flare. Two Delphi exercises were conducted among different groups of rheumatologists. A cognitive mapping technique among 9 gout experts with hierarchical cluster analysis provided a framework to guide the panel discussion, which identified the final set of items that should be tested empirically.

Results: From the Delphi exercises, 21 items were presented to the expert panel. Cluster analysis and multidimensional scaling showed that these items clustered into 5 concepts (joint inflammation, severity of symptoms, stereotypical nature, pain, and gout archetype) distributed along 2 dimensions (objective to subjective features and general features to specific features of gout). Using this analysis, expert panel discussion generated a short list of potential features: joint swelling, joint tenderness, joint warmth, severity of pain, patient global assessment, time to maximum pain, time to complete resolution of pain, an acute-phase marker, and functional impact of the episode.

Conclusion: A short list of features has been identified and now requires validation against a patient- and physician-defined gout flare in order to determine the best combination of features.

Download full-text PDF

Source
http://dx.doi.org/10.1002/art.24166DOI Listing

Publication Analysis

Top Keywords

gout flare
16
gout
8
definition gout
8
cognitive mapping
8
delphi exercises
8
cluster analysis
8
panel discussion
8
expert panel
8
short list
8
features
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!