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绘制胰岛素抵抗研究图谱:随机临床试验的可视化分析。

Mapping the landscape of research on insulin resistance: a visualization analysis of randomized clinical trials.

机构信息

Department of Clinical and Community Pharmacy, College of Medicine and Health Sciences, An-Najah National University, Nablus, 44839, Palestine.

Clinical Research Centre, An-Najah National University Hospital, Nablus, 44839, Palestine.

出版信息

J Health Popul Nutr. 2024 Jan 9;43(1):6. doi: 10.1186/s41043-024-00497-4.


DOI:10.1186/s41043-024-00497-4
PMID:38195616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10777523/
Abstract

BACKGROUND: Insulin resistance, a condition in which cells do not respond adequately to insulin, plays a crucial role in diabetes and related metabolic disorders. Randomized clinical trials (RCTs) explore interventions to manage insulin resistance, contributing to evidence-based medical progress. The current study aimed to analyze the global research landscape and trends in RCTs targeting insulin resistance. METHODS: This study used bibliometric analysis and data visualization to examine RCT publications on insulin resistance from 2003 to 2022. The Scopus database was used due to its comprehensive coverage. The search strategy involved combining terms related to insulin resistance with RCT-related terms. The search query was validated, and core bibliometric indicators were used to analyze publication growth, origin, productivity, quality, and citations. RESULTS: Between 2003 and 2022, 1077 RCT-focused publications on insulin resistance were identified from a pool of 24,932 related articles. The growth followed two phases, with a significant increase after 2008. The USA (n = 308; 28.60%), Iran (n = 165; 15.32%), China (n = 110; 10.21%), and the UK (n = 92; 8.54%) were the main contributors. The active institutions included Tehran University of Medical Sciences (n = 38; 3.53%) and Harvard Medical School (n = 31; 2.88%). Prominent funding agencies include the National Institutes of Health (n = 88; 8.17%) and the National Institute of Diabetes and Digestive and Kidney Diseases (n = 86; 7.99%). The top journals included the American Journal of Clinical Nutrition (n = 44; 4.09%) and Diabetes Care (n = 35; 3.25%). Co-occurrence analysis revealed three clusters addressing "utilizing lipid panels as indicators of insulin resistance," "analyzing the impact of diet composition and physical activity on insulin sensitivity among obese individuals," and "exploring insulin resistance in cases of polycystic ovary syndrome." CONCLUSIONS: This comprehensive bibliometric analysis highlights the global research landscape and trends in RCTs targeting insulin resistance. Research on lipid panels, diet impact, and insulin resistance in patients with polycystic ovary syndrome will continue to be a hotspot. The findings offer valuable information on research priorities, international collaborations, and impactful publications. This study provides a foundation for future directorial investigations in this critical area of metabolic health.

摘要

背景:胰岛素抵抗是一种细胞对胰岛素反应不足的情况,在糖尿病和相关代谢紊乱中起着关键作用。随机临床试验 (RCT) 探索了管理胰岛素抵抗的干预措施,为循证医学的进步做出了贡献。本研究旨在分析针对胰岛素抵抗的 RCT 全球研究格局和趋势。

方法:本研究采用文献计量分析和数据可视化方法,对 2003 年至 2022 年关于胰岛素抵抗的 RCT 出版物进行了研究。由于 Scopus 数据库具有全面的覆盖范围,因此使用了该数据库。搜索策略涉及将与胰岛素抵抗相关的术语与 RCT 相关术语相结合。对搜索查询进行了验证,并使用核心文献计量指标分析了出版物的增长、来源、生产力、质量和引用情况。

结果:在 2003 年至 2022 年期间,从 24932 篇相关文章中确定了 1077 篇以胰岛素抵抗为重点的 RCT 出版物。该研究的增长分为两个阶段,2008 年后显著增加。美国(n=308;28.60%)、伊朗(n=165;15.32%)、中国(n=110;10.21%)和英国(n=92;8.54%)是主要贡献者。主要参与机构包括德黑兰医科大学(n=38;3.53%)和哈佛医学院(n=31;2.88%)。著名的资助机构包括美国国立卫生研究院(n=88;8.17%)和美国国立糖尿病、消化和肾脏疾病研究所(n=86;7.99%)。顶尖期刊包括《美国临床营养学杂志》(n=44;4.09%)和《糖尿病护理》(n=35;3.25%)。共现分析揭示了三个聚类,分别涉及“利用脂质谱作为胰岛素抵抗的指标”、“分析饮食成分和体力活动对肥胖人群胰岛素敏感性的影响”以及“探索多囊卵巢综合征患者的胰岛素抵抗”。

结论:本全面的文献计量分析突出了针对胰岛素抵抗的 RCT 的全球研究格局和趋势。关于脂质谱、饮食影响和多囊卵巢综合征患者胰岛素抵抗的研究将继续成为热点。这些发现为研究重点、国际合作和有影响力的出版物提供了有价值的信息。本研究为代谢健康这一关键领域的未来定向研究提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/9dd545095a25/41043_2024_497_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/bef932a2de89/41043_2024_497_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/5f872fcc5a33/41043_2024_497_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/b4b1d10fba45/41043_2024_497_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/78363384a763/41043_2024_497_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/9dd545095a25/41043_2024_497_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/bef932a2de89/41043_2024_497_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/5f872fcc5a33/41043_2024_497_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/b4b1d10fba45/41043_2024_497_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/78363384a763/41043_2024_497_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/10777523/9dd545095a25/41043_2024_497_Fig5_HTML.jpg

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引用本文的文献

[1]
Unraveling the Mystery of Insulin Resistance: From Principle Mechanistic Insights and Consequences to Therapeutic Interventions.

Int J Mol Sci. 2025-3-19

[2]
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本文引用的文献

[1]
Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review.

Healthcare (Basel). 2023-12-1

[2]
Discrepancies among Scopus and Web of Science, coverage of funding information in medical journal articles: a follow-up study.

J Med Libr Assoc. 2023-7-10

[3]
A comprehensive perspective on the interaction between gut microbiota and COVID-19 vaccines.

Gut Microbes. 2023

[4]
Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study.

EClinicalMedicine. 2023-4-4

[5]
Bibliometric mapping of the landscape and structure of nutrition and depression research: visualization analysis.

J Health Popul Nutr. 2023-4-15

[6]
Effects of statin therapy on glycemic control and insulin resistance: A systematic review and meta-analysis.

Eur J Pharmacol. 2023-5-15

[7]
Study on insulin resistance and ischemic cerebrovascular disease: A bibliometric analysis CiteSpace.

Front Public Health. 2023

[8]
Clinical Evidence of Low-Carbohydrate Diets against Obesity and Diabetes Mellitus.

Metabolites. 2023-2-6

[9]
Polycystic Ovary Syndrome: Etiology, Current Management, and Future Therapeutics.

J Clin Med. 2023-2-11

[10]
The next generation of evidence-based medicine.

Nat Med. 2023-1

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