Bibliometric Study of the Comorbidity of Pain and Depression Research

Neural Plast. 2019 Oct 23:2019:1657498. doi: 10.1155/2019/1657498. eCollection 2019.

Abstract

Background: Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018.

Methods: The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified.

Results: A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P < 0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research.

Conclusions: The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bibliometrics
  • Depression*
  • Depressive Disorder*
  • Humans
  • Pain*
  • Research*