Global knowledge mapping and emerging trends in research between spasmolytic polypeptide-expressing metaplasia and gastric carcinogenesis: A bibliometric analysis from 2002 to 2022

Revolutionizing Gastric Cancer Prevention: Novel Insights on Gastric Mucosal Inflammation-Cancer Transformation and Chinese Medicine

The progression from gastric mucosal inflammation to cancer signifies a pivotal event in the trajectory of gastric cancer (GC) development. Chinese medicine (CM) exhibits unique advantages and holds significant promise in inhibiting carcinogenesis of the gastric mucosa. This review intricately examines the critical pathological events during the transition from gastric mucosal inflammation-cancer transformation (GMICT), with a particular focus on pathological evolution mechanisms of spasmolytic polypeptide-expressing metaplasia (SPEM). Moreover, it investigates the pioneering applications and advancements of CM in intervening within the medical research domain of precancerous transformations leading to GC. Furthermore, the analysis extends to major shortcomings and challenges confronted by current research in gastric precancerous lesions, and innovative studies related to CM are presented. We offer a highly succinct yet optimistic outlook on future developmental trends. This paper endeavors to foster a profound understanding of forefront dynamics in GMICT research and scientific implications of modernizing CM. It also introduces a novel perspective for establishing a collaborative secondary prevention system for GC that integrates both Western and Chinese medicines.

Global knowledge mapping and emerging trends in Helicobacter pylori-related precancerous lesions of gastric cancer research: A bibliometric analysis from 2013 to 2023

Helicobacter pylori (H pylori) infection is a crucial element in chronic gastritis progression towards precancerous lesions of gastric cancer (PLGC) formation and, potentially, gastric cancer; however, screening for and eliminating H pylori has several challenges. This study aimed to assess the present research status, prominent themes, and frontiers of H pylori-related PLGC and to provide impartial evaluations of the developmental trends in this domain. This study extracted articles and review papers concerning H pylori-related PLGC published from 2013 to 2023 from the Web of Science Core Collection. The data was analyzed and visualized using VOSviewer and CiteSpace. The study encompassed 1426 papers, with a discernible upward trend in publications between 2013 and 2023. China emerged as the most productive country, whereas the United States exerted the greatest influence. Baylor College of Medicine was the most prolific institution. World Journal of Gastroenterology featured the highest number of published papers, whereas Gastroenterology was the most frequently cited journal. Kim N. from South Korea was the most prolific author. Co-cited literature pertained to various aspects such as gastritis classification, H pylori infection management, gastric cancer prevention, and managing patients with PLGC. Future research will focus on the Kyoto classification, cancer incidence, and gastric intestinal metaplasia. The results of this study indicate a persistent increase in attention directed toward H pylori-associated PLGC. The research emphasis has transitioned from molecular mechanisms, epidemiology, monitoring, and diagnosis to clinical prevention and treatment methodologies. The forthcoming research direction in this area will concentrate on controlling and preventing malignant PLGC transformation.

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis

BACKGROUND

The field of critical care-related artificial intelligence (AI) research is rapidly gaining interest. However, there is still a lack of comprehensive bibliometric studies that measure and analyze scientific publications on a global scale. Network charts have traditionally been used to highlight author collaborations and coword phenomena (ACCP). It is necessary to determine whether chord network charts (CNCs) can provide a better understanding of ACCP, thus requiring clarification. This study aimed to achieve 2 objectives: evaluate global research trends in AI in intensive care medicine on publication outputs, coauthorships between nations, citations, and co-occurrences of keywords; and demonstrate the use of CNCs for ACCP in bibliometric analysis.

METHODS

The web of science database was searched for a total of 1992 documents published between 2013 and 2022. The document type was limited to articles and article reviews, and titles and abstracts were screened for eligibility. The characteristics of the publications, including preferred journals, leading research countries, international collaborations, top institutions, and major keywords, were analyzed using the category-journal rank-authorship-L-index score and trend analysis. The 100 most highly cited articles are also listed in detail.

RESULTS

Between 2018 and 2022, there was a sharp increase in publications, which accounted for 92.8% (1849/1992) of all papers included in the study. The United States and China were responsible for nearly 50% (936/1992) of the total publications. The leading countries, institutes, departments, authors, and journals in terms of publications were the US, Massachusetts Gen Hosp (US), Medical School, Zhongheng Zhang (China), and Science Reports. The top 3 primary keywords denoting research hotspots for AI in critically ill patients were mortality, model, and intensive care unit, with mortality having the highest burst strength (4.49). The keywords risk and system showed the highest growth trend (0.98) in counts over the past 4 years.

CONCLUSIONS

This study provides valuable insights into the potential for ACCP and future research opportunities. For AI-based clinical research to become widely accepted in critical care practice, collaborative research efforts are necessary to strengthen the maturity and robustness of AI-driven models using CNCs for display.