The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature
BackgroundHyperuricemia (HUA) is a significant public health issue, ranking second only to diabetes in prevalence. While existing research demonstrates a robust correlation between these two conditions, the precise etiological mechanisms remain inadequately elucidated. This study utilized scientomet...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1441503/full |
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| author | Lili Ma Jing Wang Li Ma Xian Min Wang |
| author_facet | Lili Ma Jing Wang Li Ma Xian Min Wang |
| author_sort | Lili Ma |
| collection | DOAJ |
| description | BackgroundHyperuricemia (HUA) is a significant public health issue, ranking second only to diabetes in prevalence. While existing research demonstrates a robust correlation between these two conditions, the precise etiological mechanisms remain inadequately elucidated. This study utilized scientometric analysis to investigate the global association between HUA and diabetes.MethodsData on HUA and diabetes were retrieved from the Web of Science Core Collection database, encompassing the period from its inception until September 30, 2024. Collaboration networks were examined using VOSviewer, cluster analysis was executed with CiteSpace, and systematic mapping was conducted using Bibliometrix.ResultsBy September 30, 2024, 1,464 studies indicated a consistent yearly increase in publications connecting HUA and diabetes despite some fluctuations. The lead authors were Richard J. Johnson, Miguel A. Lanaspa, and Masanari Kuwabara, with most contributors from China, the United States, and Japan. Key institutions include China Medical University, Shanghai Jiao Tong University, and Capital Medical University. The most published journal was Nutrition, Metabolism and Cardiovascular Diseases (CVDs), whereas the most cited journal was Diabetes Care. The reference network from 1987 to September 30, 2024, identified 19 clusters highlighting key research areas in HUA and diabetes, such as metabolic syndrome, uropathology, chronic kidney disease (CKD), and CVD. Exploring pathological mechanisms and pharmacological interventions linked to diabetes concomitant with HUA has emerged as a focal point of research and a burgeoning trend within the field.ConclusionThis study is the first scientometric analysis to synthesize research trends on HUA and diabetes, revealing molecular mechanisms and treatment strategies and providing theoretical insights for future clinical use. |
| format | Article |
| id | doaj-art-cced3e6132444f9c803a575d1cb7892b |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj-art-cced3e6132444f9c803a575d1cb7892b2025-02-07T05:10:29ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-02-011510.3389/fendo.2024.14415031441503The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literatureLili Ma0Jing Wang1Li Ma2Xian Min Wang3Department of Internal Medicine, Shengzhou Hospital of Traditional Chinese Medicine, Shaoxing, ChinaXinjiang Laboratory of Respiratory Disease Research, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Urumqi, ChinaDepartment of Endocrinology, Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, ChinaDepartment of Scientific Research Management, Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, ChinaBackgroundHyperuricemia (HUA) is a significant public health issue, ranking second only to diabetes in prevalence. While existing research demonstrates a robust correlation between these two conditions, the precise etiological mechanisms remain inadequately elucidated. This study utilized scientometric analysis to investigate the global association between HUA and diabetes.MethodsData on HUA and diabetes were retrieved from the Web of Science Core Collection database, encompassing the period from its inception until September 30, 2024. Collaboration networks were examined using VOSviewer, cluster analysis was executed with CiteSpace, and systematic mapping was conducted using Bibliometrix.ResultsBy September 30, 2024, 1,464 studies indicated a consistent yearly increase in publications connecting HUA and diabetes despite some fluctuations. The lead authors were Richard J. Johnson, Miguel A. Lanaspa, and Masanari Kuwabara, with most contributors from China, the United States, and Japan. Key institutions include China Medical University, Shanghai Jiao Tong University, and Capital Medical University. The most published journal was Nutrition, Metabolism and Cardiovascular Diseases (CVDs), whereas the most cited journal was Diabetes Care. The reference network from 1987 to September 30, 2024, identified 19 clusters highlighting key research areas in HUA and diabetes, such as metabolic syndrome, uropathology, chronic kidney disease (CKD), and CVD. Exploring pathological mechanisms and pharmacological interventions linked to diabetes concomitant with HUA has emerged as a focal point of research and a burgeoning trend within the field.ConclusionThis study is the first scientometric analysis to synthesize research trends on HUA and diabetes, revealing molecular mechanisms and treatment strategies and providing theoretical insights for future clinical use.https://www.frontiersin.org/articles/10.3389/fendo.2024.1441503/fullhyperuricemiadiabetesscientometricsVOSviewersCiteSpace |
| spellingShingle | Lili Ma Jing Wang Li Ma Xian Min Wang The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature Frontiers in Endocrinology hyperuricemia diabetes scientometrics VOSviewers CiteSpace |
| title | The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature |
| title_full | The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature |
| title_fullStr | The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature |
| title_full_unstemmed | The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature |
| title_short | The link between hyperuricemia and diabetes: insights from a quantitative analysis of scientific literature |
| title_sort | link between hyperuricemia and diabetes insights from a quantitative analysis of scientific literature |
| topic | hyperuricemia diabetes scientometrics VOSviewers CiteSpace |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1441503/full |
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