Objective. To perform a bibliometric analysis of the national scholarly output of all dental schools in Peru in Scopus through a retrospective study after the promulgation of the Peruvian University Law 30220 in 2014. Methods. This was a descriptive, comparative, retrospective, and cross-sectional study. A search of the Scopus database was performed to identify scholarly output in dentistry between 2014 and 2019. A total of 287 scientific articles with affiliation with the dental faculties of Peruvian public and private universities were evaluated. The data was extracted from Scopus using a complex formula developed from the words of the thesaurus MeSh (Medline) and Emtree (base) with words related to dentistry combined with the AF-IDs of the Peruvian universities. Results. The Top 10 in the scholarly output of all the Peruvian public and private dental schools were as follows: firstly, the Universidad Peruana Cayetano Heredia (UPCH), with 79 scholarly outputs publications and 5.2 citations per article, followed by the Universidad Nacional Mayor de San Marcos (UNMSM) with 53 scholarly outputs publications and 2.6 citations per article, and in third place, the Universidad Cientifica del Sur (UCSUR) with 49 scholarly outputs publications. In general, it was found that, of the 30 Faculties of Dentistry in Peru, only 10 in the public and private universities have a scholarly output greater than 5 to belong to the top 10. In addition, it was found that, according to the share of publications per journal quartile by the CiteScore Percentile of all the public and private Peruvian Faculties of Dentistry, in 2019, it presented the highest number of scientific publications in all quartiles with 20,33,14 and 43 articles in the quartiles Q1, Q2, Q3, and Q4, respectively. The highest number of scientific publications was produced in 2019 with 20, 33, 14, and 43 articles in quartiles Q1, Q2, Q3, and Q4, respectively. Conclusion. The UPCH, UNMSM, and UCSUR dental schools were the most productive. Both public and private universities presented an evident increase in their scientific publications in Scopus after the promulgation of the University Law 30220 in 2014.
Objective. To perform a bibliometric analysis of scientific production related to gut microbiota and Parkinson’s disease between 2011 and 2020. Methods. A descriptive, retrospective, cross-sectional, and bibliometric study was carried out. The Scopus database was used as a source to evaluate the worldwide scientific production on intestinal microbiota and its relationship with Parkinson’s disease. Data were extracted from Scopus using a formula developed with thesaurus terms MeSH (Medline) and Emtree (Embase). Results. A total of 591 documents were found. The retrieved manuscripts received an average of 41.9 citations per document. Four of the 10 most productive authors were Italian. The University of Helsinki (Finland) was the institution with the highest scientific production (19 papers) and the highest impact (5921 citations). In terms of productivity and impact, Movement Disorders ranked first with 38 papers and 2782 citations, and those papers published in Q1 quartile journals exceeded the sum of the remaining quartiles. Papers with international collaboration were the most cited. Keyword analysis showed that the terms Parkinson Disease, Disease, and Intestine Flora were the most frequent. Conclusion. The number of papers on Parkinson’s disease and gut microbiota has been increasing; however, high-quality journals maintain the same high publication rate. International collaboration from high-income countries played an important role in the impact generated by the publications.
A BSTRACT Objective: The aim of this study was to describe artificial intelligence, machine learning, and “Dentronics” applications and perspectives in dentistry. Materials and Methods: A literature review was carried out to identify the applications of artificial intelligence in the field of dentistry. A specialized search for information was carried out in three databases such as Scopus, PubMed, and Web of Science. Manuscripts published from January 1988 to November 2021 were analyzed. Articles were included without any restriction by language or country. Results: Scopus, PubMed, and Web of Science were found to have 215, 1023, and 98 registered manuscripts, respectively. Duplicates (191 manuscripts) were eliminated. Finally, 4 letters, 12 editorials, 5 books, 1 erratum, 54 conference papers, 3 conference reviews, and 222 reviews were excluded. Conclusions: Artificial intelligence has revolutionized prediction, diagnosis, and therapeutic management in modern dentistry. Finally, artificial intelligence is a potential complement to managing future data in this area.
Background The new coronavirus called COVID-19 originated in the city of Wuhan, China and has currently spread to different continents, leading the World Health Organization (WHO) to declare a “pandemic”. Therefore, the aim of this review was to present a new proposal for a care protocol in Peruvian Dentistry: Provisional review of the diagnosis, treatment, epidemiological characteristics, routes of transmission and recommendations of COVID-19. Material and Methods A search of digital scientific literature was made in the databases: Science Direct, Pubmed and Google Scholar. The Boolean operators AND, OR and NOT: “Covid-19” “Dental” “Routes of transmission. They were included Scientific articles published in English between December 2019 - March 2020. Results Different studies were found mainly of epidemiological, observational and experimental design. On March 6, 2020, the President of the Republic of Peru confirmed and declared in Peru the beginning of the first case of coronavirus. According to reports from the Ministry of Health (MINSA) as of July 30, there are: PCR (+) 108, 299; Rapid test (+) 292, 384 positive cases and 18, 816 deceased with a lethality of 4.7%. Conclusions Within the limitations of this literature review, the presence of the virus is inevitable in dental practice. The dentist must understand the evolution of this microorganism like all vulnerable professionals in the health sciences. Key words: COVID-19, dentistry, Peru, protocol, routes of transmission.
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