ReviewComputers in biology and medicine2015
Survey on computer aided decision support for diagnosis of celiac disease.
Review in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review.Frontiers in pharmacology · 2020Pooled it
- Celiac disease: From genetics to epigenetics.World journal of gastroenterology · 2022Review
- Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease.Scientific reports · 2021Article
- Quantitative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease.Intestinal research · 2019Article
- Fisher encoding of convolutional neural network features for endoscopic image classification.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Coeliac disease and the videocapsule: what have we learned till now.Annals of translational medicine · 2017Review
- Recommendations to quantify villous atrophy in video capsule endoscopy images of celiac disease patients.World journal of gastrointestinal endoscopy · 2016Article
- Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis.World journal of gastroenterology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Celiac disease (CD) is a complex autoimmune disorder in genetically predisposed individuals of all age groups triggered by the ingestion of food containing gluten. A reliable diagnosis is of high interest in view of embarking on a strict gluten-free diet, which is the CD treatment modality of first choice. The gold standard for diagnosis of CD is currently based on a histological confirmation of serology, using biopsies performed during upper endoscopy. Computer aided decision support is an emerging option in medicine and endoscopy in particular. Such systems could potentially save costs and manpower while simultaneously increasing the safety of the procedure. Research focused on computer-assisted systems in the context of automated diagnosis of CD has started in 2008. Since then, over 40 publications on the topic have appeared. In this context, data from classical flexible endoscopy as well as wireless capsule endoscopy (WCE) and confocal laser endomicrosopy (CLE) has been used. In this survey paper, we try to give a comprehensive overview of the research focused on computer-assisted diagnosis of CD.
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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.