Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The implementation of FIT programs reduces incidence and mortality from CRC in the screened subjects. The ultimate efficacy for CRC morbidity and mortality prevention in a FIT program depends on the colonoscopy in FIT+ subjects that has the task of detecting and removing these advanced lesions. Recently, there has been growing evidence on factors that influence the quality of colonoscopy specifically withing organized FIT programs, prompting to dedicated interventions in order to maximize the benefit/harm ratio of post-FIT colonoscopy. This document focuses on the diagnostic phase of colonoscopy, providing indications on how to standardise colonoscopy in FIT+ subjects, regarding timing of examination, management of antithrombotic therapy, bowel preparation, competence and sedation.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.dld.2023.11.028DOI Listing

Publication Analysis

Top Keywords

fit programs
8
colonoscopy fit+
8
fit+ subjects
8
colonoscopy
6
sied-giscor recommendations
4
recommendations colonoscopy
4
colonoscopy screening
4
screening programs
4
programs diagnostic
4
diagnostic implementation
4

Similar Publications

Validation of a video-based tool to assess risk perception both objectively and subjectively in pedestrians.

J Safety Res

September 2025

Universidad Europea del Atlántico, Santander, Spain; Universidad Internacional Iberoamericana, Campeche, México.

Introduction: Road crashes involving pedestrians are still a relevant cause of death and injury in Spain. Risk perception in pedestrians has been proposed as one of the main predictors of risky behaviors and crash-related events. The current research aimed to validate a video-based tool to assess risk perception in pedestrians, considering both the subjective way (self-report) and the objective way (skin conductance level and response).

View Article and Find Full Text PDF

Objective: People with cystic fibrosis (pwCF) are at significantly increased risk of colorectal cancer (CRC), prompting international recommendations for earlier screening with colonoscopy. The utility of faecal immunochemical testing (FIT) as a screening adjunct in pwCF remains unclear. This study evaluates FIT's diagnostic performance and uptake within a CRC screening programme in a UK CF centre.

View Article and Find Full Text PDF

Background And Objectives: As they age, many people experience memory changes that can impact their everyday functioning. The Memory Impact Questionnaire (MIQ) is a 51-item measure that assesses the negative impact of memory changes on one's lifestyle activities, negative appraisals of the self due to memory changes, perceived negative appraisals from others due to memory changes, and coping approaches intended to compensate for memory changes. To improve the utility of this tool, we developed a short form version of the MIQ and investigated its psychometric properties.

View Article and Find Full Text PDF

Determinants of access to insecticide-treated nets in Sub-Saharan Africa: A multilevel cross-country analysis using 29 DHS data.

PLoS One

September 2025

Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Background: Having access to Insecticide-Treated Nets (ITNs) is crucial for avoiding malaria in Sub-Saharan Africa (SSA), where the disease burden is disproportionately high. Despite their efficacy, socioeconomic, demographic, and geographic factors continue to cause notable differences in ITN access within and between nations. By employing a multilevel analysis of data from 29 Demographic and Health Surveys (DHS) throughout SSA, this study seeks to fill knowledge gaps about the factors that influence access at the individual and community levels.

View Article and Find Full Text PDF

Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.

View Article and Find Full Text PDF