ArticleBMC cancer2025
A nomogram model to predict postoperative delirium in esophageal cancer patients undergoing esophagectomy.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and internal validation of an interpretable machine learning prognostic prediction model for postoperative delirium after esophagectomy.Journal of thoracic disease · 2026Article
- Prediction Models for Postoperative Delirium Among Cancer Patients: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Prognostic nutritional index is associated with severe postoperative complications after neoadjuvant immunochemotherapy for esophageal squamous cell carcinoma: a retrospective cohort study with threshold effect analysis.Journal of cardiothoracic surgery · 2026Article
- Development and validation of a nomogram for predicting the probability of medication adherence to adjuvant endocrine therapy in breast cancer patients: a predictive modeling study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Association of preoperative prognostic nutritional index with postoperative delirium after gastric cancer surgery.Frontiers in nutrition · 2026Article
- Preoperative prognostic nutritional index as a predictive factor for postoperative pneumonia in esophageal cancer patients undergoing esophagectomy.Frontiers in nutrition · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundPostoperative delirium (POD) after esophagectomy is one of the most serious complications for cases with esophageal cancer (EC). This study determined to obtain predictive factors for POD and develop a nomogram model to predict the occurrence of POD among EC patients.
methodsLASSO and multivariate logistic regression analyses were utilized to identify potential predictive factors. A nomogram model was developed based on the results of multivariate logistic regression analysis.
resultsTotally, 924 EC patients undergoing esophagectomy were included, and 157 (16.99%) patients developed POD. Results of LASSO and multivariate logistic analyses showed that age > 70 years, use of penehyclidine hydrochloride, open surgery, preoperative lymphocyte ≤ 1.45*10
conclusionThis nomogram model helps clinicians to predict the occurrence of POD in patients with EC.
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