ReviewAnnals of translational medicine2016
Capsule endoscopy of the small bowel.
Review in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis.Surgical endoscopy · 2022Pooled it
- Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding.World journal of gastroenterology · 2025Article
- Influence of training and expertise on deep neural network attention and human attention during a medical image classification task.Journal of vision · 2024Article
- Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.Journal of digital imaging · 2023Review
- Enteroscopy versus Video Capsule Endoscopy for Automatic Diagnosis of Small Bowel Disorders-A Comparative Analysis of Artificial Intelligence Applications.Biomedicines · 2023Review
- Octa-nonagenarians can perform video capsule endoscopy safely and with a higher diagnostic yield than 65-79-year-old patients.Journal of the American Geriatrics Society · 2022Article
- Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy.World journal of gastrointestinal oncology · 2022Review
- Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.Journal of personalized medicine · 2022Review
- Video Capsule Endoscopy in Gastroenterology.Gastroenterology research · 2022Review
- A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology.Diagnostics (Basel, Switzerland) · 2021Review
- Video capsule endoscopy: pushing the boundaries with software technology.Translational gastroenterology and hepatology · 2021Review
- The Future of Capsule Endoscopy: The Role of Artificial Intelligence and Other Technical Advancements.Clinical endoscopy · 2020Article
- A New Active Locomotion Capsule Endoscopy under Magnetic Control and Automated Reading Program.Clinical endoscopy · 2020Article
- CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy.Endoscopy international open · 2020Article
- Miniature gastrointestinal endoscopy: Now and the future.World journal of gastroenterology · 2019Review
- Ingestible Electronics for Diagnostics and Therapy.Nature reviews. Materials · 2019Article
- Optimising the performance and interpretation of small bowel capsule endoscopy.Frontline gastroenterology · 2018Review
- What defines quality in small bowel capsule endoscopy.Annals of translational medicine · 2018Review
- Current Status of Interpretation of Small Bowel Capsule Endoscopy.Clinical endoscopy · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Capsule endoscopy (CE) is a first line small bowel investigative modality which provides more sensitive mucosal imaging than comparators. It is a non-invasive, non-irradiating tool well tolerated by patients. The risk of retention of the capsule can be minimised by ensuring luminal patency using the Agile patency device. Research continues into how to minimise missed pathology and variability in the identification of pathology or interpretation of images. The consensus is that bowel preparation using laxatives improves visibility and diagnostic yield. Research includes the development of image recognition software, both to eliminate sequentially identical images to improve viewing speed and to select or enhance images likely to represent pathology. However, careful reading by experienced capsule endoscopists remains the benchmark. This should be performed at a speed comfortable to the viewer, probably at a maximum of 15 frames per second. Some prior experience of endoscopy appears to be helpful for novice capsule endoscopists and formal training on a hands-on training course seems to improve pathology recognition, for novices and for those with CE experience.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.