An observational study in Gastric Cancers, sponsored by Jichao Qin. Active, not recruiting at 1 site in China. Open to participants aged 18 Years to 85 Years. Per ClinicalTrials.gov, last updated 2026-03-10.
Sponsored by Jichao Qin · Observational
This study aims to validate a machine learning model for predicting duodenal stump leakage after laparoscopic radical gastrectomy for gastric cancer.
Gastrectomy is an essential procedure in radical surgery for gastric cancer. Duodenal stump leakage (DSL) is one of the critical short-term complications after distal and total gastrectomy in gastric cancer patients. Identifying patients with high-risk of DSL will assist the surgeons' decision making to give efficient previous intervention, such as a more rigorous operation, placing dual-lumen flushable drainage catheter and decompression tube in afferent loop. Investigators have developed a high-performance machine learning model based on 4070 gastric cancer patients, which showed good discrimination of DSL. Hence, this multi-center prospective study will validate the reliability of this model for predicting DSL in gastric cancer patients who receive laparoscopic distal or total gastrectomy.
2,851 studies on the registry are indexed under Stomach Neoplasms; 864 are open to participants now.
This study's planned enrollment of 1,200 is above the median of 274 across 670 observational studies indexed under Stomach Neoplasms.
Browse Stomach Neoplasms studies →Jichao Qin is the lead sponsor of 9 studies on the registry; 6 are open to participants now.
Counted across the registry records on this site, refreshed daily.
This study involves the population of the First Affiliated Hospital of School of Medicine, Zhejiang University, the Second Affiliated Hospital of School of Medicine, Zhejiang University and Jinhua Central Hospital.
Exclusion Criteria:
Incidence of duodenal stump leakage
Time frame: Within 30 days after operation
Plan to share: Undecided
No publications or documents are linked to this record.
This study is active, not recruiting, as verified in Mar 2026. You cannot join it, but the record below documents what was studied.
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Jichao Qin