ArticleBMC surgery2024
Development and validation of a nomogram for predicting clinically relevant delayed gastric emptying in patients undergoing total pancreatectomy.
Article in BMC surgery, 2024. 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
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
1 citing paper in PubMed.
- LOXL1, THY1, and TYMS define an annotation-derived hemoglobin-associated immunotranscriptomic signature in osteoarthritis cartilage.Frontiers in immunology · 2026Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent research on delayed gastric emptying (DGE) after pancreatic surgery is predominantly focused on pancreaticoduodenectomy (PD), with little exploration into DGE following total pancreatectomy (TP). This study aims to investigate the risk factors for DGE after TP and develop a predictive model.
methodsThis retrospective cohort study included 106 consecutive cases of TP performed between January 2013 and December 2023 at Peking Union Medical College Hospital (PUMCH). After applying the inclusion criteria, 96 cases were selected for analysis. These patients were randomly divided into a training set (n = 67) and a validation set (n = 29) in a 7:3 ratio. LASSO regression and multivariate logistic regression analyses were used to identify factors associated with clinically relevant DGE (grades B/C) and to construct a predictive nomogram. The ROC curve, calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were employed to evaluate the model's prediction accuracy.
resultsThe predictive model identified end-to-side gastrointestinal anastomosis, intraoperative blood transfusion, and venous reconstruction as risk factors for clinically relevant DGE after TP. The ROC was 0.853 (95%CI 0.681-0.900) in the training set and 0.789 (95%CI 0.727-0.857) in the validation set. The calibration curve, DCA, and CIC confirmed the accuracy and practicality of the nomogram.
conclusionWe developed a novel predictive model that accurately identifies potential risk factors associated with clinically relevant DGE in patients undergoing TP.
Indexed as
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.