Comorbidities in the COVID-19 Pandemic: Scopus-Based Bibliometric Analysis

Systemic sclerosis associated respiratory involvement: Scopus-based analysis of articles in 2013-2022

BACKGROUND

Systemic sclerosis (SSc), a complex autoimmune disorder, manifests as a convergence of rheumatologic, dermatologic, and pulmonary challenges. Among the severe complications contributing to morbidity and mortality are SSc Associated Interstitial Lung Disease (SSc-ILD) and pulmonary hypertension. Over the past decade, research on pulmonary involvement in SSc has intensified, leading to a heightened understanding of its pathogenesis, diagnostic methods, and therapeutic strategies.

AIM

This study aims to provide a data-driven overview of the current state of systemic sclerosis research, identifying emerging trends and fostering informed decisions regarding resource allocation and research priorities.

METHODS

A literature search was conducted in the Scopus database, using MESH keywords such as "systemic sclerosis" AND "lungs" OR "pulmonary hypertension" OR "interstitial lung disease". After applying exclusion criteria, a thorough analysis was performed, considering factors such as document category, authorship, journal source, citation frequency, country of publication, language, and keywords. The bibliometric analysis utilized Scopus as the preferred database, leveraging its extensive coverage, user-friendly interface, and commitment to data accuracy. Visual networks were constructed using VOSviewer software to map the relationships between keywords, countries, and authors. Altmetric Attention Scores (AAS) were employed to assess the social impact of articles.

RESULTS

The analysis revealed a total of 2538 scholarly items, with 55.7% identified as open access. The USA (n = 532), Italy (n = 458), France (n = 304), Japan (n = 271), and the UK (n = 236) emerged as primary contributors, with English being the predominant language. A notable upward tendency in annual publication and citation scores indicated sustained interest and relevance in SSc-ILD research. The top journals, including Rheumatology United Kingdom, Clinical and Experimental Rheumatology, Clinical Rheumatology, Arthritis and Rheumatology, and Journal of Rheumatology, played a pivotal role in scholarly output. Original Articles (n = 1795; 70.7%) constituted the majority of publications, followed by Reviews, Letters, Notes, and Editorials. The analysis of publication impact within different scholarly formats revealed varying citation patterns, with Original Articles and Reviews leading in influence. The identification of influential research hubs and key contributors provided insights into collaborative efforts and geographic distribution. A strong correlation (rho = 0.612, p < 0.001) was observed between the quantity of Mendeley readers and the citations received by scholarly articles.

CONCLUSION

This bibliometric analysis offers a comprehensive overview of SSc-ILD research, highlighting its dynamic and interdisciplinary nature. The surge in publications, citation scores, and the identification of key contributors underscore the continued relevance and impact of this field. The nuanced relationships between social attention and scientific recognition, as revealed by Mendeley readership and AAS, contribute to a deeper understanding of the multifaceted nature of scholarly impact.

The Effect of Sodium-Glucose Cotransporter-2 Inhibitors on COVID-19 Patients with Type 2 Diabetes Mellitus: A Retrospective Cohort Study Using the Common Data Model

BACKGROUND

There is no clinical evidence about the effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors on diabetic patients who have been diagnosed with coronavirus disease 19 (COVID-19).

METHODS

The dataset is based on insurance benefit claims sent to the Health Insurance Review and Assessment Service of Korea from January, 2018 to April, 2022. Among 9,822,577 patients who were involved in the claims, diabetic patients were divided into two groups based on whether they had a prescription for an SGLT2 inhibitor. The primary outcome was major adverse cardiac and cerebrovascular events (MACCEs), which were a composite of all-cause mortality, myocardial infarction, stroke, and revascularization over 90 days.

RESULTS

A total of 172,682 patients was analyzed. In the propensity score-matched analysis, the rate of MACCE was lower in the SGLT2 inhibitor group compared to the non-SGLT2 inhibitor group (0.89% vs. 1.31%; hazard ratio, 0.71; 95% confidence interval, 0.53-0.94; p =0.020). Each of the MACCEs showed no differences between the two groups. The rate of pneumonia was similar between the two groups (4.45% vs. 4.39%; hazard ratio, 1.06; 95% confidence interval, 0.91-1.16; p = 0.620).

CONCLUSIONS

In the diabetic patients who were diagnosed with COVID-19, SGLT2 inhibitors were associated with improved clinical outcomes in terms of MACCEs. SGLT2 inhibitors might be considered for prescription to diabetic patients in the current context of long COVID-19.