ArticleiGIE : innovation, investigation and insights2024
Artificial intelligence-based skeletal muscle estimates and outcomes of EUS-guided treatment of pancreatic fluid collections.
Article in iGIE : innovation, investigation and insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Immediate Endoscopic Necrosectomy for Walled-Off Pancreatic Necrosis: A First-Choice Option?Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Skeletal muscle status may affect clinical outcomes of a variety of pancreatic diseases. Skeletal muscle quality and quantity have not been fully examined in relation to the outcomes of EUS-guided treatment of pancreatic fluid collections (PFCs). Methods: Using a multi-institutional cohort of 372 patients receiving EUS-guided treatment of PFCs in 2010 to 2020, we examined the association of skeletal muscle status with adverse outcomes, including clinical treatment failure and in-hospital mortality. We used an in-house deep learning-based platform for preprocedural CT images, and skeletal muscle density (SMD) and skeletal muscle index (SMI; height-adjusted muscle area) were calculated as surrogates for muscular quality and quantity, respectively. Multivariable logistic regression analysis was conducted to calculate odds ratios (ORs) for adverse outcomes. Results: Lower-level SMD was associated with higher risks of clinical failure and in-hospital mortality ( Conclusions: In patients with endoscopically managed PFCs, SMD (but not SMI) was associated with the risks of clinical failure and in-hospital mortality, supporting the prognostic role of skeletal muscle quality.
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.