Hotspots and frontiers of the relationship between gastric cancer and depression: A bibliometric study

World J Gastroenterol. 2023 Dec 14;29(46):6076-6088. doi: 10.3748/wjg.v29.i46.6076.

Abstract

Background: A significant relationship between gastric cancer (GC) and depression has been found in the last 20 years. However, there is no comprehensive information that helps researchers find popular and potential research directions on GC and depression.

Aim: To determine the research status and hotspots by bibliometric analysis of relevant publications on the relationship between GC and depression.

Methods: We used the Web of Science Core Collection to search and collate the literature on GC and depression from 2000 to 2022 on 31 May, 2023. Then, visualization analysis was performed using VOSviewer software (version 1.6.19) and the Bibliometrix package in R software.

Results: We retrieved 153 pertinent publications from 2000 to 2022. The annual publication count showed an overall upward trend. China had the most prominent publications and significant contributions to this field (n = 64, 41.83%). Before 2020, most studies focused on "the effect of GC on the development and progression of depression in patients." The latest research trends indicate that "the effect of depression on the occurrence and development of GC and its mechanism" will receive more attention in the future.

Conclusion: The study of "the effect of depression on the occurrence and development of GC and its mechanism" has emerged as a novel research theme over the past two years, which may become a research hotspot in this field. This study provides new insights into the hotpots and frontiers of the relationship between GC and depression, potentially guiding researchers toward hot research topics in the future.

Keywords: Bibliometric analysis; Depression; Gastric cancer; Visualization; Web of Science.

MeSH terms

  • Bibliometrics
  • China / epidemiology
  • Depression / epidemiology
  • Humans
  • Software
  • Stomach Neoplasms* / epidemiology