ArticleDigestive diseases and sciences2023
Predictive Factors for the Outcome of Unsupervised Endoscopic Submucosal Dissection During the Initial Learning Curve with Prevalence-Based Indication.
Article in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Outcome and predictive factors for perforation in orthodontic rubber band-assisted endoscopic submucosal dissection of fibrotic colorectal lesions.Scientific reports · 2024Article
- Learning curve for endoscopic submucosal dissection (ESD) in the United States: Large, untutored, single-operator experience.Endoscopy international open · 2024Article
- Retrospective Analysis of Rectal Endoscopic Submucosal Dissection at Ordensklinikum Linz and Kepler Universitätsklinikum Linz.Journal of clinical medicine · 2024Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor an adequate educational strategy of ESD in non-Asian settings with prevalence-based indication it is essential to define adequate lesions, suitable for the beginner without on-site expert-supervision.
aimsWe analyzed possible predictors for outcome parameters of effectiveness and safety during the initial learning curve.
methodsThe first 120 ESDs of four operators (n = 480), performed between 2007 and 2020 in four tertiary hospitals, were enrolled. Uni-/multivariable regression analysis was done with sex, age, pretreated lesion, lesion size, organ, and organ-based localization as possible independent predictors for en bloc resection (EBR), complication, and resection speed.
resultsRates of EBR, complication, and resection speed were 84.5%, 14.2%, and 6.20 (± 4.45) cm
conclusionDuring the initial learning curve of an unsupervised ESD program with prevalence-based indication, pretreated lesions and colonic ESDs should be avoided. In contrast, lesion size and organ-based localizations have less predictive value for the outcome.
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