Liuyin Jin, Linman Wu, Jing Zhang, Wenxin Jia, Han Zhou, Shulan Jiang, Pengju Jiang, Yingfang Li, Yang Li
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Bibliometric tools, including CiteSpace, VOSviewer, and R package Bibliometrix, were utilized to perform data extraction, quantitative analysis, and visualization.</p><p><strong>Results: </strong>The search focused on SCZ and biomarkers, and a total of 2935 articles were included in the analysis. The analysis revealed a gradual increase in the number of publications related to SCZ and biomarkers over the years, indicating a growing research focus in this area. Collaboration and research activity were found to be concentrated in the United States and Western European countries. Among the top ten most active journals, \"Schizophrenia Research\" emerged as the journal with the highest number of publications and citations related to SCZ and biomarkers. Recent studies published in this journal have highlighted the potential use of facial expressions as a diagnostic biomarker for SCZ, suggesting that facial expression analysis using big data may hold promise for future diagnosis and interventions. Furthermore, the analysis of key research keywords identified inflammatory factors, DNA methylation changes, and glutamate alterations as potential biomarkers for SCZ diagnosis.</p><p><strong>Conclusion: </strong>This Bibliometric analysis provides valuable insights into the current state of research on SCZ and biomarkers. The identification of reliable biomarkers for SCZ could have significant implications for early diagnosis and interventions, potentially leading to improved outcomes for individuals affected by this challenging mental disorder. Further research and collaborations in this field are encouraged to advance our understanding of SCZ and enhance diagnostic and therapeutic approaches.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"186"},"PeriodicalIF":4.6000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11872302/pdf/","citationCount":"0","resultStr":"{\"title\":\"Quantitative analysis of literature on diagnostic biomarkers of Schizophrenia: revealing research hotspots and future prospects.\",\"authors\":\"Liuyin Jin, Linman Wu, Jing Zhang, Wenxin Jia, Han Zhou, Shulan Jiang, Pengju Jiang, Yingfang Li, Yang Li\",\"doi\":\"10.1186/s12888-025-06644-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Schizophrenia (SCZ) is a complex mental disorder characterized by a wide range of symptoms and cognitive impairments. The search for reliable biomarkers for SCZ has gained increasing attention in recent years, as they hold the potential to improve early diagnosis and intervention strategies. To understand the research trends and collaborations in this field, a comprehensive Bibliometric analysis of SCZ and biomarkers research was conducted.</p><p><strong>Methods: </strong>A systematic search of the Web of Science Core Collection was performed to retrieve relevant articles published from January 2000 to July 2023. The search focused on SCZ and biomarkers. Bibliometric tools, including CiteSpace, VOSviewer, and R package Bibliometrix, were utilized to perform data extraction, quantitative analysis, and visualization.</p><p><strong>Results: </strong>The search focused on SCZ and biomarkers, and a total of 2935 articles were included in the analysis. 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引用次数: 0
摘要
背景:精神分裂症(SCZ)是一种以广泛的症状和认知障碍为特征的复杂精神障碍。近年来,寻找可靠的SCZ生物标志物获得了越来越多的关注,因为它们有可能改善早期诊断和干预策略。为了了解该领域的研究趋势和合作情况,我们对SCZ和生物标志物研究进行了全面的文献计量学分析。方法:系统检索Web of Science Core Collection,检索2000年1月至2023年7月发表的相关文章。搜索的重点是SCZ和生物标志物。文献计量工具包括CiteSpace、VOSviewer和R软件包Bibliometrix,用于数据提取、定量分析和可视化。结果:检索重点为SCZ和biomarkers,共纳入2935篇文献。分析显示,近年来与SCZ和生物标志物相关的出版物数量逐渐增加,表明该领域的研究越来越受到关注。合作和研究活动集中在美国和西欧国家。在最活跃的十大期刊中,《精神分裂症研究》是与SCZ和生物标志物相关的出版物和引用数量最多的期刊。最近发表在该杂志上的研究强调了面部表情作为SCZ诊断生物标志物的潜在用途,表明使用大数据进行面部表情分析可能为未来的诊断和干预带来希望。此外,对关键研究关键词的分析发现,炎症因子、DNA甲基化变化和谷氨酸改变是SCZ诊断的潜在生物标志物。结论:本文的文献计量学分析为了解SCZ和生物标志物的研究现状提供了有价值的见解。确定可靠的SCZ生物标志物可能对早期诊断和干预具有重要意义,可能会改善受这种具有挑战性的精神障碍影响的个体的预后。我们鼓励在这一领域进行进一步的研究和合作,以提高我们对SCZ的理解,并加强诊断和治疗方法。
Quantitative analysis of literature on diagnostic biomarkers of Schizophrenia: revealing research hotspots and future prospects.
Background: Schizophrenia (SCZ) is a complex mental disorder characterized by a wide range of symptoms and cognitive impairments. The search for reliable biomarkers for SCZ has gained increasing attention in recent years, as they hold the potential to improve early diagnosis and intervention strategies. To understand the research trends and collaborations in this field, a comprehensive Bibliometric analysis of SCZ and biomarkers research was conducted.
Methods: A systematic search of the Web of Science Core Collection was performed to retrieve relevant articles published from January 2000 to July 2023. The search focused on SCZ and biomarkers. Bibliometric tools, including CiteSpace, VOSviewer, and R package Bibliometrix, were utilized to perform data extraction, quantitative analysis, and visualization.
Results: The search focused on SCZ and biomarkers, and a total of 2935 articles were included in the analysis. The analysis revealed a gradual increase in the number of publications related to SCZ and biomarkers over the years, indicating a growing research focus in this area. Collaboration and research activity were found to be concentrated in the United States and Western European countries. Among the top ten most active journals, "Schizophrenia Research" emerged as the journal with the highest number of publications and citations related to SCZ and biomarkers. Recent studies published in this journal have highlighted the potential use of facial expressions as a diagnostic biomarker for SCZ, suggesting that facial expression analysis using big data may hold promise for future diagnosis and interventions. Furthermore, the analysis of key research keywords identified inflammatory factors, DNA methylation changes, and glutamate alterations as potential biomarkers for SCZ diagnosis.
Conclusion: This Bibliometric analysis provides valuable insights into the current state of research on SCZ and biomarkers. The identification of reliable biomarkers for SCZ could have significant implications for early diagnosis and interventions, potentially leading to improved outcomes for individuals affected by this challenging mental disorder. Further research and collaborations in this field are encouraged to advance our understanding of SCZ and enhance diagnostic and therapeutic approaches.
期刊介绍:
BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.