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

Abstract

BackgroundSpasmolytic polypeptide expression metaplasia (SPEM) occurs in the corpus of the stomach and is closely related to inflammations caused by H. pylori infection. Recently, SPEM was suggested as one of the dubious precancerous lesions of gastric cancer (GC). Thus, further research on SPEM cell transdifferentiation and its underlying mechanisms could facilitate the development of new molecular targets improving the therapeutics of GC. Using bibliometrics, we analyzed publications, summarized the research hotspots and provided references for scientific researchers engaged in related research fields.MethodsWe searched the Web of Science Core Collection (WoSCC) for publications related to SPEM-GC from 2002 to 2022. The VOSviewer, SCImago, CiteSpace and R software were used to visualize and analyze the data. Gene targets identified in the keyword list were analyzed for functional enrichment using the KEGG and GO databases.ResultsOf the 292 articles identified in the initial search, we observed a stable trend in SPEM-GC research but rapid growth in the number of citations. The United States was the leader in terms of quality publications and international cooperation among them. The total number of articles published by Chinese scholars was second to the United States. Additionally, despite its low centrality and average citation frequency, China has become one of the world’s most dynamic countries in academics. In terms of productivity, Vanderbilt University was identified as the most productive institution. Further, we also observed that Gastroenterology was the highest co-cited journal, and Goldenring Jr. was the most prolific author with the largest centrality.ConclusionSPEM could serve as an initial step in diagnosing gastric precancerous lesions. Current hotspots and frontiers of research include SPEM cell lineage differentiation, interaction with H. pylori, disturbances of the mucosal microenvironment, biomarkers, clinical diagnosis and outcomes of SPEM, as well as the development of proliferative SPEM animal models. However, further research and collaboration are still required. The findings presented in this study can be used as reference for the research status of SPEM-GC and determine new directions for future studies.

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

“…The number of publications analyzed reflected the academic output of a country, institution, journal, or author in the H pylori -related PLGC research field. [ 21 ] The number of citations analyzed could indirectly confirm the academic influence of publications or authors in this field. [ 22 ] The impact factor (IF) and journal citation report were crucial indicators for evaluating the scientific quality and academic status of a journal.…”

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

“…In bibliometrics, network charts are frequently used to report the collaborations and cooccurrences involving the most active international entities across countries, research institutes, departments, authors, and keywords. [3,28,[46][47][48][49][50] However, these charts often suffer from unclear labeling and relationships between members. To address these limitations, this study will demonstrate the use of 5 CNCs in AI for critical care.…”

“…The figure illustrates 3 types of network charts used in bibliometric analyses: clusters [3,28,[46][47][48][49][50]52] (clusters are randomly scattered); circles [53][54][55][56][57][58] (members are grouped by cluster and bubble size), and chords [43][44][45]59] (similar to the circle chart with significant relationships between members). Readers will find that the CNC with a dashboard-type representation has a meaningful and clear interface.…”