| Literature DB >> 34321922 |
Qi Li1, Wanbing Dai1, Xuemei Chen1, Diansan Su1, Weifeng Yu1, Xiyao Gu1.
Abstract
PURPOSE: Aging populations and increasing quality of life requirements have attracted growing efforts to study chronic postsurgical pain (CPSP). However, a diverse range of factors are involved in CPSP development, which complicates efforts to predict and treat this disease. To advance research in this field, our study aimed to use bibliometric analysis to quantitatively and qualitatively evaluate CPSP research and predict research hot spots over the last 10 years.Entities:
Keywords: CiteSpace; bibliometric analysis; burst detection with keywords; chronic postsurgical pain; co-citation analysis
Year: 2021 PMID: 34321922 PMCID: PMC8313379 DOI: 10.2147/JPR.S300744
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 2.832
Figure 1Bibliometric analysis of publication output. A total of 2493 publications were included from 2011 to 2020. (A) The number of annual publications involving CPSP. (B) Article type distribution. (C) The distribution of publications by country/region.
Figure 2Collaborating countries, institutions and authors in CPSP research. The network map of collaborating countries/regions (A) and institutions (B) for CPSP research.
The Top 10 Countries/Regions for Centrality in CPSP Research
| Rank | Countries/Regions | Centrality |
|---|---|---|
| 1 | The United States | 0.46 |
| 2 | England | 0.30 |
| 3 | Australia | 0.28 |
| 4 | Canada | 0.27 |
| 5 | Italy | 0.26 |
| 6 | France | 0.25 |
| 7 | Germany | 0.25 |
| 8 | Sweden | 0.23 |
| 9 | Denmark | 0.22 |
| 10 | Belgium | 0.22 |
The Top 10 Institutions for Centrality in CPSP Research
| Rank | Institutions | Centrality |
|---|---|---|
| 1 | Johns Hopkins University | 0.31 |
| 2 | University of Washington | 0.23 |
| 3 | Harvard University | 0.20 |
| 4 | Karolinska Institutet | 0.20 |
| 5 | Mayo Clinic | 0.18 |
| 6 | University of Connecticut | 0.17 |
| 7 | University of Toronto | 0.17 |
| 8 | New York University | 0.17 |
| 9 | University of Pittsburgh | 0.16 |
| 10 | University of California, San Francisco | 0.16 |
Figure 3Co-cited authors and analysis of co-cited publications. The co-cited publication map (A) and clustered network map (B) of co-cited references of CPSP publications.
Figure 4The timeline view of keyword clusters.
Figure 5Keyword co-occurrence analysis of CPSP hot spots and burst detection with keywords. The network map of the co-occurrence keywords (A) and keywords with the strongest citation bursts (B) in original publications on CPSP research between 2011 and 2020.