There are about 189 clinical studies being (or have been) conducted in Ecuador. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
The aim of this study is to assess whether the use of a therapy combining olfactory training, corticoids, and phototherapy improves the PROMS compared to the use of olfactory training and corticosteroids only. To accomplish this goal the study will consist of 40 participants. The participants must present olfactory dysfunction for at least 4 weeks after a coronavirus-19 infection. Furthermore, to be eligible each participant will need a polymerase chain reaction test with positive results for coronavirus-19.
Our study aims to determine the frequency of individuals at high risk of obstructive sleep apnea, and excessive daytime sleepiness, as well as any potential association between these conditions and traffic accidents among a sample of Ecuadorian bus drivers.
Therefore, a high number of procedures is necessary to achieve EUS competency, but interobserver agreement still varies widely. Artificial intelligence (AI) aided recognition of anatomical structures may improve the training process and inter-observer agreement. Robles-Medranda et al. developed an AI model that recognizes normal anatomical structures during linear and radial EUS evaluations. We pursue to design an external validation of our developed AI model, considering an endoscopist expert as the gold standard.
Digital single-operator cholangioscopy (DSOC) findings achieve high diagnostic accuracy for neoplastic bile duct lesions. To date, there is not a universally accepted DSOC classification. Endoscopists' Intra and interobserver agreements vary widely. Cholangiocarcinoma (CCA) assessment through artificial intelligence (AI) tools is almost exclusively for intrahepatic CCA (iCCA). Therefore, more AI tools are necessary for assessing extrahepatic neoplastic bile duct lesions. In Ecuador, the investigators have recently proposed an AI model to classify bile duct lesions during real-time DSOC, which accurately detected malignancy patterns. This research pursues a clinical validation of our AI model for distinguishing between neoplastic and non-neoplastic bile duct lesions, compared with high DSOC experienced endoscopists.
The purpose of the current protocol is to describe a cluster randomized feasibility trial examining the integration of a scalable stress management intervention into Entre Nosotras ('among/between us'), a community-based psychosocial intervention for migrant and host community women in Ecuador and Panamá. Specifically the study aims to: 1. Explore the relevance, acceptability, and feasibility of integrating a stress management intervention into community-based participatory women's group 2. Examine the feasibility of conducting a fully-powered cluster randomized controlled trial evaluating the effectiveness and implementation of integrating a stress management intervention into a community-based participatory women's group as compared to community-based participatory women's groups alone.
Limited large-scale studies have been conducted to investigate the adverse effects of COVID-19 vaccine in Latin America, particularly among the healthcare worker (HCW) population in Ecuador. The objective of this study was to assess a cohort of Ecuadorian healthcare workers for adverse reactions following vaccination with the Pfizer-BioNTech vaccine.
High-definition white light endoscopy (HD-WLE) does not usually allow the visualization of duodenal villous patterns and may be inaccurate for assessing coeliac disease (CD). To the best of the knowledge of the authorship, there is no prospective study that has evaluated the accuracy of combining high-definition optical magnification (HD-OM) with i-Scan optical enhancement (OE) virtual chromoendoscopy for evaluation of duodenal villous patterns in the context of CD suspicion. Combining both techniques can also guide better duodenal biopsies. This study pursues to compare diagnostic accuracy between HD-WLE and HD-OM with OE using histology as the gold standard in detecting villous abnormalities in CD.
The diagnosis of pancreas diseases is based on a combination of clinical signs, symptoms, and laboratory tests, but mainly on imaging techniques such as computed tomography (CT) and magnetic resonance (MR). However, CT/MR have variable sensitivity and specificity, with certain disadvantages. Endoscopic ultrasound with elastography is an important resource with higher diagnostic accuracy in assessing solid pancreas lesions. Shear wave velocities of healthy parenchyma, acute, chronic and autoimmune pancreatitis, neoplastic lesions of the pancreas must be evaluated and compared.
the World Health Organization (WHO) has recently committed to promote the control of strongyloidiasis within 2030 targets for STH control programmes. A specific target is to establish by 2030 an efficient strongyloidiasis control programme in school aged children (SAC), envisaging ivermectin preventive chemotherapy (PC) of SAC at risk of morbidity due to strongyloidiasis. The monitoring of such ambitious PC activity strictly requires appropriate diagnostic tools, but fundamental gaps exist in this field. Indeed, until now at the moment no consensus method for the diagnosis of S. stercoralis infection is recommended and the absence of a gold standard test limits capacity for effective diagnosis, surveillance and disease control. The aim of this project is to provide fundamental information on the performance and applicability of diagnostic methods for the assessment of S. stercoralis infection to inform the forthcoming WHO global strongyloidiasis control program to be implemented as a part of the WHO 2030 disease control targets. ESTRELLA is a cross-sectional study in an area of high prevalence of strongyloidiasis (San Lorenzo, Esmeraldas, Ecuador). The study will have a school-based approach, and each enrolled SAC will be asked to supply fecal and blood samples for testing with different methods for the diagnosis of S. stercoralis infection.
Evaluation of the colonic mucosa with a high definition colonoscope (EPKi7010 video processor). The endoscopy images will be seen on a 27inch, flat-panel, high-definition LCD monitor (Radiance™ ultraSC-WU27-G1520 model) only by one expert endoscopist, randomly assigned. The number, location, and polyps' features (Paris classification) will be recorded by the operator. If a polyp is detected, the endoscopist will remove the polyp endoscopically with a cold snare. The same patient will be submitted to a second, the same session, computed aided real-time colonoscopy using the DISCOVERY, AI-assisted polyp detector. Colonoscopy will be performed by a same-level-of-expertise operator in comparison to the initial procedure. Any polyp or lesion detected with the AI system will be recorded and endoscopically removed and considered as a missed lesion from standard colonoscopy.