ArticleRheumatology and immunology research2026
Trends in research on fatigue in rheumatology: Bibliometric analysis.
Article in Rheumatology and immunology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: The aim of this study is to analyze the studies on fatigue symptoms in rheumatology using bibliometric methods and to determine current trends and focal points. Methods: The dataset for this study was created from articles published between 1983 and 2024 accessed Results: A total of 624 articles were included in the study. The highest publication productivity was seen in the United States with 186 publications. The journals "Journal of Rheumatology" and "Rheumatology" both ranked first in publication productivity with 68 articles each. The most commonly used keyword was "rheumatoid arthritis". The journal with the highest total citation amount and cumulative publication production was "Journal of Rheumatology". Trending topics were seen tofacitinib, patient-reported outcome measures, and psoritic arthritis. Authors with one publication on fatigue in rheumatic diseases constituted 79% of all authors, authors with two publications constituted 12%, and authors with three or more publications constituted 4%. The most globally cited study was Wolfe, F. Conclusion: The literature on fatigue in the field of rheumatology contains deficiencies in better understanding the pathophysiology of fatigue, its management and treatment. At the same time, in recent years, fatigue has moved away from parameters such as muscle strength, pain and disease activity and towards patient reported outcomes. The increase in studies determining the validity and reliability of fatigue questionnaires in rheumatic diseases is also striking.
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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.