ArticleBMC surgery2023
Risk stratification of clinically relevant delayed gastric emptying after pancreaticoduodenectomy.
Article in BMC surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Risk prediction models for delayed gastric emptying in patients after pancreaticoduodenectomy: a systematic review and meta-analysis.BMJ open · 2025Pooled it
- Usefulness of an S-1 dosage formula for predicting adverse events in adjuvant chemotherapy for curatively resected pancreatic cancer: an exploratory analysis of the randomized clinical trial (JASPAC-01).Journal of gastroenterology · 2026Trial
- Single-loop versus double-loop reconstruction after pancreatoduodenectomy: Does it impact on the risk of postoperative pancreatic fistula?Annals of hepato-biliary-pancreatic surgery · 2026Article
- Delayed gastric emptying risk stratification in patients with pancreatic ductal adenocarcinoma after pancreatoduodenectomy: An international validation cohort study.United European gastroenterology journal · 2025Article
- Evaluating the surgical and oncological outcomes of hepatic artery variations in minimally invasive pancreaticoduodenectomy: insights from 2023 data at a high-volume pancreatic center.World journal of surgical oncology · 2025Article
- Risk stratification of postoperative pancreatic fistula and other complications following pancreatoduodenectomy. How far are we? A scoping review.Langenbeck's archives of surgery · 2025Article
- Biliary-intestinal anastomosis leads to alterations in intestinal flora and its flora metabolites and increases the risk of long-term postoperative complications: a case-control study.Frontiers in microbiology · 2025Article
- Enhanced Recovery After Surgery (ERAS) in Pancreatic Surgery: The Surgeon's Point of View.Journal of clinical medicine · 2024Review
- Development and validation of a nomogram for predicting clinically relevant delayed gastric emptying in patients undergoing total pancreatectomy.BMC surgery · 2024Article
- From the simulation lab to the operating room: simulation performance predicts intraoperative performance in robotic gastrojejunostomy.Surgical endoscopy · 2024Article
- Impact of preoperative chemotherapy on surgical results in 139 patients with locally advanced pancreatic cancer.Hepatobiliary surgery and nutrition · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDelayed gastric emptying (DGE) remains one of the major complications after pancreaticoduodenectomy (PD), with discrepant reports of its contributing factors. This study aimed to develop a nomogram to identify potential predictors and predict the probability of DGE after PD.
methodsThis retrospective study enrolled 422 consecutive patients who underwent PD from January 2019 to December 2021 at our institution. The LASSO algorithm and multivariate logistic regression were performed to identify independent risk and protective factors associated with clinically relevant delayed gastric emptying (CR-DGE). A nomogram was established based on the selected variables. Then, the calibration curve, ROC curve, decision curve analysis (DCA), and clinical impact curve (CIC) were applied to evaluate the predictive performance of our model. Finally, an independent cohort of 45 consecutive patients from January 2022 to March 2022 was enrolled to further validate the nomogram.
resultsAmong 422 patients, CR-DGE occurred in 94 patients (22.2%). A previous history of chronic gastropathy, intraoperative plasma transfusion ≥ 400 ml, end-to-side gastrointestinal anastomosis, intra-abdominal infection, incisional infection, and clinically relevant postoperative pancreatic fistula (CR-POPF) were identified as risk predictors. Minimally invasive pancreaticoduodenectomy (MIPD) was demonstrated to be a protective predictor of CR-DGE. The areas under the curve (AUCs) were 0.768 (95% CI, 0.706-0.830) in the development cohort, 0.766 (95% CI, 0.671-0.861) in the validation cohort, and 0.787 (95% CI, 0.633-0.940) in the independent cohort. Then, we built a simplified scale based on our nomogram for risk stratification.
conclusionsOur study identified seven predictors and constructed a validated nomogram that effectively predicted CR-DGE for patients who underwent PD.
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