Evidence map›Paper›PMID 42727539›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Development and internal validation of a nomogram for predicting grade B/C hemorrhage after pancreaticoduodenectomy.

Siqing Yi, Jisheng Zhu, Ziyi Ye, Zhichao Li, Zulong Wang, Jiang Wei, Weidong Xiao

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Siqing YiDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
Jisheng ZhuDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China; Institute of Digestive Surgery, Nanchang University, Nanchang, Jiangxi, 330019, China.
Ziyi YeDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
Zhichao LiDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
Zulong WangDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
Jiang WeiDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
Weidong XiaoDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China; Institute of Digestive Surgery, Nanchang University, Nanchang, Jiangxi, 330019, China. Electronic address: ndyfy02045@ncu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePostpancreatectomy Hemorrhage (PPH) is a severe complication after Pancreaticoduodenectomy (PD). This study aims to investigate the predictors and develop a nomogram to predict grade B/C PPH.

methodsData were collected from patients who underwent PD at the Department of General Surgery of the First Affiliated Hospital of Nanchang University from January 2016 to December 2023. These patients were then randomly divided into a training set and a validation set. Logistic regression analysis was performed to investigate the predictors and develop a nomogram. The model's discriminative ability was evaluated using the Area Under Curve (AUC) of the receiver operating characteristic, calibration was evaluated using calibration curves, clinical utility was evaluated using decision curve analysis, and generalizability was evaluated by examining model's performance in the validation set. SHapley Additive exPlanations (SHAP) were used to interpret feature contributions and visualize the model's decision logic.

resultsPreoperative Prothrombin Time (PT), preoperative Total Bilirubin (TB) (≥171 μmol/L), Postoperative Pancreatic Fistula (POPF), and Postoperative Biliary Fistula (POBF) were independent predictors of grade B/C PPH. The AUC values were 0.848 and 0.721 in the training set and the validation set, respectively. The model demonstrated satisfactory discriminative ability, calibration, clinical utility, and generalizability. SHAP indicated that POPF was the most influential predictor.

conclusionsPreoperative PT, preoperative TB (≥ 171 μmol/L), POPF, and POBF were identified as independent predictors of grade B/C PPH, and SHAP indicated the importance of POPF. The nomogram based on these predictors can help clinicians predict grade B/C PPH.

Indexed as

NomogramPancreaticoduodenectomyPostpancreatectomy HemorrhageRisk factorSHapley additive exPlanations

Identifiers

PMID42727539
PMCPMC13586585

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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.