Visual analysis of research hotspots in SCI papers on critical care medicine in 2023

doi:10.3877/cma.j.issn.2096-1537.2024.03.003

Abstract

Abstract:

Objective

To analyze the SCI papers in the field of critical care medicine published in 2023, and explore the current research status and hotspots in critical care medicine over the year.

Methods

Employing bibliometric methodology, this study conducted a detailed analysis of SCI papers in the field of critical care medicine in 2023 utilizing CiteSpace and VOSviewer software. The analysis was based on the Web of Science database, covering 3, 861 international papers, focusing on the distribution of research institutions, co-authorship network, keyword co-occurrence, and highly cited papers.

Results

The study found that in the field of critical care medicine, the number of SCI papers published in the United States in 2023 ranked first in the world, and the TOP ten institutions were primarily from the United States and France. There was significant academic collaboration between researchers from the United States and Canada, while international cooperation involving China was relatively limited. High-frequency keywords included "mortality", "outcomes", and "management". The citation range for the TOP 5 internationally highly cited papers was between 46 and 127 times, with the highest-cited paper published in Critical Care. For China, the citation range for the TOP 5 highly cited papers was between 11 and 53 times, with the highest-cited paper published in Intensive Care Medicine.

Conclusion

The United States maitains a dominant position in the number of research papers published, exerting significant competitive pressure on China. Scholars from Western countries frequently engage in transnational cooperation, while Chinese scholars focus more on building domestic academic collaboration networks.

Key words: Critical care medicine, Bibliometrics, Visual analysis

Yan Wang, Xuezhu Li, Liwei Huang, Hui Chen, Yi Yang, Haibo Qiu. Visual analysis of research hotspots in SCI papers on critical care medicine in 2023[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2024, 10(03): 218-226.

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URL: https://icu.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2096-1537.2024.03.003

https://icu.cma-cmc.com.cn/EN/Y2024/V10/I03/218

Figures/Tables 9

References 25

1	Shankar-Hari M, Wunsch H, Rowan K, et al. Reflections on critical care's past, present, and future [J]. Crit Care Med, 2021, 49(11): 1855-1865.
2	Chaomei C. CiteSpace Ⅱ: detecting and visualizing emerging trends and transient patterns in scientific literature [J]. J Am Soc Inf Sci Technol, 2005, 57(3): 359-377.
3	Centre for Science and Technology Studies. VOSviewer [EB/OL]. (2024-02-05) [2024-02-28]. URL
4	程晔, 应佳云, 刘彦婷, 等. 《2020拯救脓毒症运动国际指南：儿童脓毒性休克和脓毒症相关器官功能障碍管理》解读 [J]. 中国小儿急救医学, 2020, 27(4): 241-248.
5	Schlapbach LJ, Watson RS, Sorce LR, et al. International consensus criteria for pediatric sepsis and septic shock [J]. JAMA, 2024, 331(8): 665-674.
6	Pediatric Acute Lung Injury Consensus Conference Group. Pediatric acute respiratory distress syndrome: consensus recommendations from the Pediatric Acute Lung Injury Consensus Conference [J]. Pediatr Crit Care Med, 2015, 16(5): 428-439.
7	NEJM AI. What we want to publish at NEJM AI [EB/OL]. (2024-02-07) [2024-02-28]. URL
8	Nhat PTH, Van Hao N, Tho PV, et al. Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit [J]. Crit Care, 2023, 27(1): 257.
9	Suganuma N, Yoshida S, Takeuchi Y, et al. Artificial intelligence in quantitative chest imaging analysis for occupational lung disease [J]. Semin Respir Crit Care Med, 2023, 44(3): 362-369.
10	Thatcher JE, Yi F, Nussbaum AE, et al. Clinical investigation of a rapid non-invasive multispectral imaging device utilizing an artificial intelligence algorithm for improved burn assessment [J]. J Burn Care Res, 2023, 44(4): 969-981.
11	El Moheb M, Gebran A, Maurer LR, et al. Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery [J]. J Trauma Acute Care Surg, 2023, 95(4): 565-572.
12	Stallings JD, Laxminarayan S, Yu C, et al. APPRAISE-HRI: an artificial intelligence algorithm for triage of hemorrhage casualties [J]. Shock(Augusta, Ga.), 2023, 60(2): 199-205.
13	Rubinger L, Gazendam A, Ekhtiari S, et al. Machine learning and artificial intelligence in research and healthcar [J]. Injury, 2022, 54(S3): S69-S73.
14	Smit JM, Krijthe JH, van Bommel J; Causal Inference for ICU Collaborators. The future of artificial intelligence in intensive care: moving from predictive to actionable AI [J]. Intensive Care Med, 2023, 49(9): 1114-1116.
15	Trøseid M, Holter JC, Holm K, et al. Gut microbiota composition during hospitalization is associated with 60-day mortality after severe COVID-19 [J]. Crit Care, 2023, 27(1): 69.
16	Patton MJ, Orihuela CJ, Harrod KS, et al. COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation [J]. Crit Care, 2023, 27(1): 34.
17	Okin D, Huang CY, Alba GA, et al. Prolonged prone position ventilation is associated with reduced mortality in intubated COVID-19 patients [J]. Chest, 2022, 163(3): 533-542.
18	van Diepen S, McAlister FA, Chu LM, et al. Association between vaccination status and outcomes in patients admitted to the ICU with COVID-19 [J]. Crit Care Med, 2023, 51(9): 1201-1209.
19	Wynia MK, Beaty LE, Bennett TD, et al. Real-world evidence of neutralizing monoclonal antibodies for preventing hospitalization and mortality in COVID-19 outpatients [J]. Chest, 2023, 163(5): 1061-1070.
20	Chiumello D, Tavelli A, Serio L, et al. Differences in clinical characteristics and quantitative lung CT features between vaccinated and not vaccinated hospitalized COVID-19 patients in Italy [J]. Ann Intensive Care, 2023, 13(1): 24.
21	Alessandri F, Di Nardo M, Ramanathan K, et al. Extracorporeal membrane oxygenation for COVID-19-related acute respiratory distress syndrome: a narrative review [J]. J Intensive Care, 2023, 11(1): 5.
22	Rabie AA, Elhazmi A, Azzam MH, et al. Expert consensus statement on venovenous extracorporeal membrane oxygenation ECMO for COVID-19 severe ARDS: an international Delphi study [J]. Ann Intensive Care, 2023, 13(1): 36.
23	Jacquet-Lagrèze M, Riad Z, Portran P, et al. Hemodynamic effects of awake prone positioning with COVID-19 acute respiratory failure [J]. Respir Care, 2023, 68(6): 713-720.
24	Nay MA, Hindre R, Perrin C, et al. Prone position versus usual care in hypoxemic COVID-19 patients in medical wards: a randomised controlled trial [J]. Crit Care, 2023, 27(1): 240.
25	黄力维, 邱海波. 中国重症医学的科学研究:创新与突破 [J]. 中华内科杂志, 2016, 55(9): 665-667.

序号	国际研究机构	国家	发文数量	中国研究机构	发文数量
1	法国国家健康与医学研究院（Institut National de la Santé et de la Recherche Médicale，INSERM）	法国	235	四川大学	26
2	哈佛大学（Harvard University）	美国	227	上海交通大学	24
3	巴黎公立医院集团（Assistance Publique Hôpitaux de Paris，APHP）	法国	225	首都医科大学	22
4	加利福尼亚大学系统（University of California System）	美国	192	华中科技大学	22
5	巴黎城市大学（Université Paris Cité）	法国	174	中南大学	18
6	多伦多大学（University of Toronto）	加拿大	157	浙江大学	18
7	宾夕法尼亚高等教育联邦（Pennsylvania Commonwealth System of Higher Education，PCSHE）	美国	149	中国医学科学院，北京协和医学院	17
8	莫纳什大学（Monash University）	澳大利亚	142	南京医科大学	16
9	宾夕法尼亚大学（University of Pennsylvania）	美国	130	东南大学	15
10	伦敦大学（University of London）	英国	127	复旦大学	15

序号	国际研究机构	国家	发文数量	中国研究机构	发文数量
1	法国国家健康与医学研究院（Institut National de la Santé et de la Recherche Médicale，INSERM）	法国	235	四川大学	26
2	哈佛大学（Harvard University）	美国	227	上海交通大学	24
3	巴黎公立医院集团（Assistance Publique Hôpitaux de Paris，APHP）	法国	225	首都医科大学	22
4	加利福尼亚大学系统（University of California System）	美国	192	华中科技大学	22
5	巴黎城市大学（Université Paris Cité）	法国	174	中南大学	18
6	多伦多大学（University of Toronto）	加拿大	157	浙江大学	18
7	宾夕法尼亚高等教育联邦（Pennsylvania Commonwealth System of Higher Education，PCSHE）	美国	149	中国医学科学院，北京协和医学院	17
8	莫纳什大学（Monash University）	澳大利亚	142	南京医科大学	16
9	宾夕法尼亚大学（University of Pennsylvania）	美国	130	东南大学	15
10	伦敦大学（University of London）	英国	127	复旦大学	15

序号	关键词	总链接强度	中国论文出现次数	国际论文出现频次
1	病死率（Mortality）	155	58	579
2	脓毒症（Sepsis）	147	66	323
3	急性肾损伤（Acute kidney injury）	64	26	97
4	脓毒症休克（Septic shock）	64	23	150
5	诊疗（Management）	54	37	372
6	结局（Outcomes）	54	22	419
7	预后（Prognosis）	48	19	74
8	重症医学科（Intensive care unit）	46	21	64
9	荟萃分析（Meta-analysis）	44	22	97
10	炎症（Inflammation）	43	23	102

序号	关键词	总链接强度	中国论文出现次数	国际论文出现频次
1	病死率（Mortality）	155	58	579
2	脓毒症（Sepsis）	147	66	323
3	急性肾损伤（Acute kidney injury）	64	26	97
4	脓毒症休克（Septic shock）	64	23	150
5	诊疗（Management）	54	37	372
6	结局（Outcomes）	54	22	419
7	预后（Prognosis）	48	19	74
8	重症医学科（Intensive care unit）	46	21	64
9	荟萃分析（Meta-analysis）	44	22	97
10	炎症（Inflammation）	43	23	102

序号	论文名称	期刊	期刊影响因子（2022年）	被引次数	发表时间	通讯作者	通讯作者国家
1	Can artificial intelligence help for scientific writing?	Crit Care	15.1	127	2023年2月	Michele Salvagno	比利时
2	Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD Executive Summary	Eur Respir J	24.9	112	2023年4月	Àlvar Agustí	西班牙
3	ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies	Intensive Care Med	38.9	53	2023年7月	Giacomo Grasselli	意大利
4	Rituximab versus intravenous cyclophosphamide in patients with connective tissue disease-associated interstitial lung disease in the UK (RECITAL): a double-blind, double-dummy, randomised, controlled, phase 2b trial	Lancet Respir Med	76.2	52	2023年1月	Toby M. Maher	美国
5	The European guideline on management of major bleeding and coagulopathy following trauma: sixth edition	Crit Care	15.1	46	2023年1月	Rolf Rossaint	德国

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