La importancia que ha adquirido el ChatGPT en el mundo académico universitario en la actualidad es muy trascendente. El estudio propone validar algunas de las variables predictoras, como la eficiencia en la adquisición de información, creatividad, competencia en la escritura, competencia lingüística, rendimiento académico y satisfacción con el propósito de generar instrumentos para la investigación con atributos de fiabilidad y validez. El estudio se realizó en Perú, con una muestra de 400 estudiantes universitarios de ambos sexos. Se utilizaron pruebas de análisis factorial exploratorio y confirmatorio. Para este estudio, se utilizaron análisis factoriales exploratorios y confirmatorios. De este modo, futuras investigaciones permitirán explorar y comprender plenamente la utilidad del ChatGPT en diversos contextos y su impacto en la educación superior.

Background: To compare the clinical effectiveness of ion-releasing restorations (IRR) vs. composite resin (CR) in dental restorations. Methods: A systematic search was carried out from articles published until January 2024, in the biomedical databases: PubMed, Cochrane Library, Scielo, Scopus, Web of Science and Google Scholar. Randomized clinical trials were included, with a follow-up time greater than or equal to 1 year, without time and language limits and which reported the clinical effect of IRR compared to CR in dental restorations. The RoB 2.0 tool was used to assess the risk of bias of the included studies and the GRADEPro GDT tool was used to assess the quality of evidence and the strength of recommendation of the results. Results: The search yielded a total of 1109 articles. After excluding those that did not meet the selection criteria, 29 articles remained for the quantitative synthesis. The analysis found no statistically significant difference when comparing the dental restorations with IRRs or CRs. Conclusion: The literature reviewed suggests that there are no differences between the IRRs and CRs in dental restorations.

Background: The aim of this review was to evaluate the effects of periodontal disease (PD) treatment in pregnant women to reduce the risk of preterm birth (PB) and low birth weight (LBW) by conducting an umbrella review. Methods: A comprehensive search for the literature up to April 2024 was conducted across multiple databases including PubMed, Cochrane Library, Scopus, EMBASE, Scielo, Web of Science, Google Scholar, Proquest Dissertations and Theses, and OpenGrey. We specifically targeted systematic reviews (SRs) with or without meta-analyses, irrespective of language or time constraints, focusing on primary studies examining the effect of PD treatment in pregnant women to reduce the risk of PB and LBW. Various types of non-systematic reviews, intervention studies, observational studies, preclinical and basic research, summaries, comments, case reports, protocols, personal opinions, letters, and posters were excluded from consideration. The quality and overall confidence of the included studies were assessed using the AMSTAR–2 tool. Results: After the initial search, 232 articles were identified, of which only 24 met the selection criteria after exclusion. The majority of these studies indicated that periodontal treatment reduces the risk of PB and LBW. Conclusions: According to the findings and conclusions drawn from the SRs with a high overall confidence level, PD treatment in pregnant women reduces the risk of PB and LBW.

Objective: Determine the association between periodontal disease (PD) and obesity through an umbrella review. Materials and Methods: A search for information until March 2024 was carried out in the following electronic databases: PubMed, Cochrane library, Scopus, SciELO, Web of Science, Google Scholar, Proquest Dissertations and Theses, and OpenGrey. We included studies that were systematic reviews (SR) with or without meta-analysis, without time or language restrictions, that evaluated primary studies that associated PD with obesity. Literary or narrative reviews, rapid reviews, intervention studies, observational studies, preclinical and basic research, summaries, comments, case reports, protocols, personal opinions, letters, and posters were excluded. The AMSTAR-2 tool was used to determine the quality and overall confidence of the included studies. Results: The preliminary search yielded a total of 419 articles, discarding those that did not meet the selection criteria, leaving only 14 articles. All studies reported that PD was associated with obesity, with an OR and RR ranging from 1.1 to 1.46 and 1.64 to 2.21, respectively. Conclusions: Based on the results and conclusions of the SR with a high overall confidence level, PD is associated with obesity.

La generación del conocimiento debe validarse mediante su poder de reproducibilidad y replicabilidad, siendo pilares importantes en esa construcción la ética de la investigación y la integridad científica; sin embargo, un nuevo reto se presenta tanto para los comités de ética de investigación como para los comités de integridad científica y es la aparición de la inteligencia artificial generativa, que supone un riesgo si no se utiliza de manera ética, eficiente y precisa. El objetivo del estudio fue identificar los problemas reportados con mayor frecuencia con respecto a la integridad científica y el uso de inteligencia artificial (IA). En cuanto a los métodos estudiados, se trata de un estudio bibliométrico que analizó 1100 artículos de los cuales 162 fueron seleccionados tras aplicar los criterios de inclusión y exclusión. Entre los principales hallazgos se identificó que el uso de IA en algunos casos ha sido relacionado al plagio y la deshonestidad académica, lo que requiere que las herramientas de detección sean más avanzadas y tengan regulaciones adecuadas para dar soporte a los comités de ética en investigación en esta labor. Los estudios muestran una alta colaboración entre autores, lo que refleja la complejidad de la situación y la necesidad de enfoques conjuntos para abordar los retos éticos. Es crucial contar con un liderazgo ético y regulaciones más claras para asegurar el uso responsable de ChatGPT u otra IA en la producción científica.

The importance that ChatGPT has acquired in the academic world of universities today is critical. The study proposes to validate some predictor variables, such as efficiency in acquiring information, creativity, writing competence, linguistic competence, academic performance, and satisfaction, to generate reliable and valid research instruments. The study was carried out in Peru with a sample of 400 university students of both sexes. Exploratory and confirmatory factor analysis tests were used. For this study, exploratory and confirmatory factor analyses were used. Thus, future research will be able to explore and fully comprehend ChatGPT's utility in various contexts and its impact on higher education.