RESUMO
Dental caries is one of the major diseases of the oral cavity affecting humans worldwide. Different alternatives have been used for its control, but its incidence and prevalence are still high. On the other hand, silver has been used for centuries due to its antimicrobial properties. With advances in nanotechnology, the use and research in nanomaterials has increased, recently, and silver nanoparticles have become an essential part of the dental practice, giving materials physical and chemical improvements in their properties, used for their antibacterial capacity preventing and arresting dental caries. The objective of this review was to examine the use of silver nanoparticles, in the treatment of dental caries in the remineralization of teeth hard tissues, as well as the antimicrobial potential, cytotoxicity, and long-term effectiveness.
RESUMO
En el transcurso de los ensayos clínicos usualmente se designa a una comisión, la cual se encarga de evaluar la causalidad de los eventos adversos que se reportan y transcriben en los cuadernos de recogida de datos. Para llegar a contestar la pregunta de: ¿si una vacuna que se está estudiando ha causado un evento adverso?, los decisores pueden tomar diferentes caminos, por lo que obviamente la conclusión final podría variar mucho y la evaluación deficiente puede generar conclusiones erróneas, lo que confirma la necesidad de disponer de un procedimiento para definir lascategorías que se utilizarán para analizar y clasificar la relación de causalidad. Una forma de contestar a la pregunta es mediante la construcción de un algoritmo. En relación con los ensayos clínicos no encontramos en la literatura un algoritmo que sea el patrón clave para establecer o descartar la causalidad, sin embargo es factible diseñarlo partiendo de la metodología internacional utilizada poscomercialización, lo cual fue el propósito de este trabajo. Se diseñó una primera propuesta que fue analizada individual y colectivamente por el grupo multidisciplinario de la Gerencia Médica del Instituto Finlay. Finalmente se aprobó por consenso el algoritmo que puede ser útil para aplicar en los ensayos clínicos dentro y fuera de la institución(AU)
During clinical trials it is common to appoint a commission which is in charged of assessing the causality of adverse events which are reported and transcribed to the collection data logbooks. To be able to answer the question: Does the vaccine understudy cause an adverse event.? different pathways could be taken by decision makers, so it is obvious that the final conclusion could vary too much and a poorly assessment can generate mistaken conclusions. That confirms the need of having a procedure to define which categories must be used to analyze and to classify the relation of causality. To create an algorithm isone answer to the question. We reviewed the literature and did not find any algorithm which could be considered a master key to set or to reject causality, so this paper aims at designing an algorithm beginning with the international methodology used in post commercialization. A first proposal was designed which was individually and collectively analyzed by the multidisciplinary group of the Medical Management from Finlay Institute. Finally, the proposed algorithm was approved by consensus, which could be useful to apply in clinical trials inside and outside of the institution(AU)
