RESUMO
Background: Erectile dysfunction (ED) is a multifaceted yet prevalent male-related sexual dysfunction that manifests as a change in any of the erectile response components, including relational, psychological, and biological. We aimed to use bibliometric analyses to determine how ED research has progressed and define the future trends necessary to contribute to scholarly literature. Methods: Two tools, VOSviewer and MS Excel, were used, and the study was conducted in May 2022. A total of 16,114 records were selected for in-depth analyses. We examined the most eminent authors, highly cited papers within journals, and the institutions that have provided the greatest number of articles regarding ED, and demonstrated that ED research has increased over the last two decades. Results: The total number of research documents published between 1971 and 2021 was 16,114, with a growth rate of 5%. Montorsi, Maggi, and Mulhall shared the top spot in the number of publications (n = 164). The Journal of Sexual Medicine has the most papers (N = 1839), followed by the International Journal of Impotence Research (N = 780), the Journal of Urology (N = 557), and Urology (N = 489). Conclusion: The study revealed increased ED research in the past two decades, with notable authors and sources identified. The top three countries contributing to ED are the UK, Italy, and the USA. Recommendations include interdisciplinary collaboration, novel therapeutic approaches, addressing psychological and relational factors, conducting longitudinal studies, and publishing in reputable journals. Implementing these can advance understanding, improve treatment options, and enhance ED management.
RESUMO
Diabetes Mellitus (DM) causes global exhaustion, consumes economic resources, and has several risk factors. The bibliometric studies re-evaluate the research efforts on this illness using mathematical and statistical tools to indicate current research and future trends. This study examines KSA's DM research during 2010-2021. Data were acquired from Scopus and analyzed using VOSviewer and MS Excel. Several characteristics were examined to measure the quantity and quality of KSA-related DM articles. In total, 1,919 journal and conference papers were published. DM research included researchers from multidisciplinary sectors. Thirty-seven percent of them have ten or more scientific publications. Al-Daghri, N.M. (King Saud University) leads the pack. In total, 757 (39.44%) research projects got funding from 159 sources within and outside KSA. Memish, Z.A. is the most cited author. The Saudi Medical Journal has the most citations (1214). Al-Daghri, N.M. (KSU) collaborates the most. One hundred forty-one nations aided KSA's diabetes research. Egypt's High Institute of Public Health has the most scientific collaboration with KSA. Authors' and all Keywords analyses indicated a rich knowledge structure. Diabetes Care Journal has the most cocitations with 2,220 and a total link strength of 19,283, followed by The New England Journal of Medicine. The study results will be helpful to stakeholders to understand better the trends and performance of diabetes-related regional research, which will be beneficial.
RESUMO
The current study was designed to validate the Arabic version of the Diabetes Self-Management Scale (DSMS) using Rasch and confirmatory factor analyses. This included person and item fit, separation, and reliability; rating scale functionality to evidence substantive validity; unidimensional structure to evidence structural validity; and item technical quality to evidence content validity. The study was conducted between September 2021 and March 2022. Utilizing AMOS-based confirmatory factor analysis (CFA), the study also assured the dimensionality of the DSMS. The participants were 103 diabetic patients in Saudi Arabia with a mean age of 44.72 years (standard deviation = 17.35). The analysis was performed using a trichotomous rating scale, and only one item exhibited a misfit (DSMS14). The item difficulty range was -1.0 to +1.0 logits, while the person's ability range was -3.0 to +3.0 logits. The first construct proved one Rasch dimension, which was explained and further analyzed using AMOS-CFA for the one-factor model. The DSMS was shown to be beneficial as a screening instrument for patient-reported diabetes self-management, despite several flaws that need to be addressed to improve the scale further.