10 research outputs found

    Training with a computer-based simulator achieves basic manual skills required for upper endoscopy: A randomized controlled trial

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    Background Changes in medical practice have constrained the time available for education and the availability of patients for training. Computer-based simulators have been devised that can be used to achieve manual skills without patient contact. This study prospectively compared, in a clinical setting, the efficacy of a computer-based simulator for training in upper endoscopy. Methods Twenty-two fellows with no experience in endoscopy were randomly assigned to two groups: one group underwent 10 hours of preclinical training with a computer-based simulator, and the other did not. Each trainee performed upper endoscopy in 19 or 20 patients. Performance parameters evaluated included the following: esophageal intubation, procedure duration and completeness, and request for assistance. The performance of the trainees also was evaluated by the endoscopy instructor. Results A total of 420 upper endoscopies were performed; the computer pretrained group performed 212 and the non-pretrained group, 208. The pretrained group performed more complete procedures (87.8% vs. 70.0%; p < 0.0001), required less assistance (41.3% vs. 97.9%; p < 0.0001), and the instructor assessed performance as "positive" more often for this group (86.8% vs. 56.7%; p < 0.0001). The length of procedures was comparable for the two groups. Conclusions The computer-based simulator is effective in providing novice trainees with the skills needed for identification of anatomical landmarks and basic endoscopic maneuvers, and in reducing the need for assistance by instructors

    Cyclic Antibiotic Therapy for Diverticular Disease: a Critical Reappraisal

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    Abstract Different symptoms have been attributed to uncomplicated diverticular disease (DD). Poor absorbable antibiotics are largely used for uncomplicated DD, mainly for symptom treatment and prevention of diverticulitis onset. Controlled trials on cyclic administration of rifaximin in DD patients were evaluated. Four controlled, including 1 double-blind and 3 open-label, randomized studies were available. Following a long-term cyclic therapy, a significant difference emerged in the global symptoms score (range: 0-18) between rifaximin plus fibers (from 6-6.5 to 1-2) and fibers alone (from 6.7 to 2-3.8), although the actual clinically relevance of such a very small difference remains to be ascertained. Moreover, a similar global symptom score reduction (from 6 to 2.4) can be achieved by simply recommending an inexpensive high-fiber diet. Current data suggest that cyclic rifaximin plus fibers significantly reduce the incidence of the first episode of acute diverticulitis as compared to fibers alone (1.03% vs 2.75%), but a cost-efficacy analysis is needed before this treatment can be routinely recommended. The available studies have been hampered by some limitations, and definite conclusions could not be drawn. The cost of a long-life, cyclic rifaximin therapy administered to all symptomatic DD patients would appear prohibitive. Key words Diverticular disease -therapy -symptoms -rifaximin -diverticulitis -haemorrhage. Diverticular disease symptoms: a puzzling interpretation Diverticular disease (DD) is a very common condition in western countries, and its incidence has greately increased in the last decades. It is well known that DD prevalence rises with age, being relatively infrequent (5-10%) in subjects younger than 40 years and present in as many as 50-66% of people older than age 80 year

    Appropriateness guidelines and predictive rules to select patients for upper endoscopy: a nationwide multicenter study

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    Selecting patients appropriately for upper endoscopy (EGD) is crucial for efficient use of endoscopy. The objective of this study was to compare different clinical strategies and statistical methods to select patients for EGD, namely appropriateness guidelines, age and/or alarm features, and multivariate and artificial neural network (ANN) models
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