ArticleBMC gastroenterology2025
A novel model of dual-network composite hydrogels for application in endoscopic submucosal dissection.
Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Endoscopic Delivery of Hydrogels: A Novel Strategy for Treating Early-Stage Gastrointestinal Tumors.Bioengineering (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
BACKGROUND AND
aimsEndoscopic submucosal dissection (ESD) is a critical technique for treating early-stage gastrointestinal tumors, requiring precise operational skills. Traditional training methods, however, face challenges such as high costs, ethical concerns, and sustainability issues. This study aims to design a novel training model based on dual-network composite hydrogel (DNH) (Jing, et al, Polymers 11:952,2019) to simulate the multilayered structure of gastric tissue, providing a more realistic and effective training environment.
methodsA new DNH model was developed to simulate gastric tissue's structure and biomechanics. The effectiveness of the model in ESD training was evaluated through structured assessments with participants of different experience levels. Physicians trained with the DNH model were evaluated for technical precision, efficiency, and complication risk.
resultsThe DNH model demonstrated superior performance, with physicians using the model showing significantly higher technical precision and efficiency in ESD procedures. Additionally, the model resulted in a substantially reduced risk of complications compared to traditional methods. Participants rated the model highly for reusability and lower cost, confirming its effectiveness as a training tool.
conclusionsThe dual-network composite hydrogel model offers great potential for ESD training, providing an efficient, safe, and cost-effective alternative to traditional training methods. Its integration into medical education could enhance the development of surgical skills and improve clinical practice outcomes.
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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.