Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Database
Language
Document Type
Year range
1.
Medicine (Baltimore) ; 101(48): e32118, 2022 Dec 02.
Article in English | MEDLINE | ID: covidwho-2161257

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) is a relatively new concept in the literature that emerged during the pandemic. Bibliometric analysis is a type of analysis that uses mathematical and statistical methods to study the formal properties of knowledge areas. This study aimed to reveal the main themes, conceptual structures, and trends of bibliometric studies on mucormycosis in 2 different periods, pre-and during the pandemic. METHODS: This study consisted of 2 periods: pre-COVID-19 and COVID-19. Articles were collected from the Web of Science (WOS) Core Collection database. We provided AND and OR connectors for the keyword query and selected studies based on relevant keywords. Collected data were classified based on their publication date and examined using the R programming language (Version 4.0.3) package Bibliometrix and SciMAT Software. RESULTS: A total of 1261 articles were investigated, and performance and information structure analyses were conducted. Based on Bradford's law, the Journal of Fungi was the top-ranked journal in both periods. Cureus and mycoses were placed 2nd and 3rd in the second period. India is the largest contributor. In performance analysis, conceptual structures such as Rhizopus oryzae, epidemiology, diagnosis, management, treatment, and outcomes were at the forefront of mucormycosis publications during the COVID-19 period. CONCLUSIONS: Research trends have shifted to the clinical treatment and management of COVID-19. Therefore, pathogenesis, diagnosis, follow-up, and treatment strategies for CAM should be developed in the future.


Subject(s)
COVID-19 , Mucormycosis , Humans , Pandemics , COVID-19/epidemiology , Mucormycosis/epidemiology , Bibliometrics , Data Collection
2.
J Med Virol ; 94(3): 1020-1026, 2022 03.
Article in English | MEDLINE | ID: covidwho-1718368

ABSTRACT

The pathogenesis of coronavirus disease 2019 (COVID-19) is still not fully understood. As severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has a similar pathogenetic pathway to Mycobacterium tuberculosis, it has been reported that there may be a relationship between Bacille Calmette-Guérin (BCG) vaccination rate and COVID-19 severity. This study investigated the relationship between tuberculin skin test (TST) induration diameter and the clinical course of COVID-19. Of 1963 adult patients who underwent TST, 76 patients with SARS-COV-2 infection confirmed by RT-PCR analysis of respiratory tract samples were included in the study. Relationships between COVID-19 clinical severity and TST positivity, induration size, and other clinical parameters were analyzed. Of the 76 patients, TST results were negative for 53 patients (69.7%) and positive for 23 patients (30.3%). COVID-19 severity was mild in 47 patients (61.8%), moderate in 22 patients (28.9%), and severe in seven patients (9.3%). All TST-positive patients had mild disease. Patients with mild disease had a significantly higher TST positivity rate (p < 0.001) and larger induration diameter (p < 0.001). The area under the receiver operating characteristic (ROC) curve of TST induration size for the differentiation of mild with moderate and severe disease was 0.768 (p < 0.001). The maximum Youden J index value was 0.522 at an induration diameter of 6.5 mm, which had a sensitivity of 66.0% and specificity of 86.2%. COVID-19 patients with positive TST showed a significantly higher rate of mild disease than those with negative TST. TST positivity is favorably associated with the course of COVID-19.


Subject(s)
COVID-19 , Mycobacterium tuberculosis , Adult , COVID-19/diagnosis , Humans , Retrospective Studies , SARS-CoV-2 , Tuberculin Test/methods
SELECTION OF CITATIONS
SEARCH DETAIL