A nomogram prediction model for the risk of intra-abdominal infection after endoscopic full-thickness resection of gastric submucosal tumors
Age, preoperative CAR level, and surgical time were independent influences on the occurrence of IAI in GSMT patients undergoing EFR surgery. A nomogram model based on these factors had a high predictive efficacy and may provide a guiding intervention for the prevention of postoperative IAI in GSMT patients.
Authors
- Jing Zhao (ORCID: https://orcid.org/0000-0002-9583-9284)
- Liang Wang (ORCID: https://orcid.org/0000-0002-7897-8581)
- W.‐Y. HUANG
Institutions
- Jinshan Hospital of Fudan University (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1186/s12938-025-01455-9
- Primary Topic
- Gastrointestinal Tumor Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00