Trend In the Publication of Study on Systemic Lupus Erythematosus (SLE) In 2012-2020 Period: A Bibliometric Analysis

Abstract

In the last 9 years, there have been four articles on the bibliometric analysis of Systemic Lupus Erythematosus (SLE), using the data from Pubmed, Scopus or Web of Science. This is considered small in number. This bibliometric analysis aims to pinpoint SLE research trends published in journals with Pubmed indexes between 2012 and 2021. The bibliometric data were taken from Pubmed in the period 2012-2021. The search was conducted using the Medical Subject Headings (MeSH) keyword “Lupus Erythematosus, Systemic”. The data taken were original articles in the form of experiments, observations, and review results (meta-analysis, systematic study, and narrative study). Inclusion criteria are original articles (observational, experimental) and review results, exclusion criteria are associated data (secondary data sources). There were 17,230 items collected in all. After adjusting them for inclusion and exclusion criteria, there remained 3,811 articles to be analyzed which were published in 804 different journals with a total number of 11,133 authors. There were 76 countries involved in this study, with China as the most productive country followed by the United States and Italy. The number of keywords that emerged from all articles amounted to 8,236, with the most dominant terms being Human and Lupus Erythematosus, and systemic. The most prolific author of SLE research publications was Pan. HF, producing 61 published articles in the last 9 years. With the use of this bibliometric study, a complete picture of the growth of SLE research may be obtained. Current trends in SLE research relate to studies of systemic lupus erythematosus, lupus nephritis, lupus, hydrochloroquine, treatment, autoimmune disease, autoantibodies, and autoimmunity. So far, there has been no publication of SLE articles from Indonesia, so it is still highly possible for the execution of research and publication of the obtained data.