ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021
Risk factors and the utility of three different kinds of prediction models for postoperative fatigue after gastrointestinal tumor surgery.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic predictive models for cancer-related fatigue: current evidence and future directions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- Effect of intravenous lidocaine on postoperative fatigue syndrome in patients undergoing laparoscopic radical colorectal cancer surgery: a randomized clinical trial.Scientific reports · 2025Trial
- Impact of pecto-intercostal fascial block on postoperative fatigue in elderly patients undergoing off-pump coronary artery bypass grafting: a randomized clinical trial.International journal of surgery (London, England) · 2025Trial
- Effects of esketamine on postoperative fatigue syndrome in patients after laparoscopic resection of gastric carcinoma: a randomized controlled trial.BMC anesthesiology · 2024Trial
- A randomized controlled trial of propofol-remifentanil total intravenous anesthesia and sevoflurane-fentanyl anesthesia on early postoperative fatigue in patients undergoing laparoscopic colorectal surgery.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Trial
- Knowledge, attitudes, and practices toward postoperative fatigue syndrome among postoperative patients.Scientific reports · 2026Article
- Mapping of Preoperative Screening Tools Reveals Urgent Need for Standardization in Gastrointestinal Cancer Surgery: A Scoping Review.World journal of surgery · 2026Article
- Risk stratification using a nomogram model for postoperative cancer-related fatigue in elderly survivors following early-stage non-small cell lung cancer resection.BMC pulmonary medicine · 2025Article
- Self-efficacy-kinesiophobia correlation in postoperative patients with primary liver cancer: the chain-mediating effect of postoperative fatigue and negative emotions.Frontiers in psychology · 2025Article
- New intervention strategy for postoperative fatigue syndrome in elderly patients with colorectal cancer: a clinical hypothesis study based on vagus nerve stimulation.Frontiers in medicine · 2025Article
- Using real-world electronic health record data to predict the development of 12 cancer-related symptoms in the context of multimorbidity.JAMIA open · 2024Article
- Fatigue, fear of being mobilized and residual limb pain limit independent basic mobility and physiotherapy for patients early after major dysvascular lower extremity amputation: A prospective cohort study.Geriatrics & gerontology international · 2024Article
- Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review.JMIR cancer · 2024Review
- Development and external validation of a machine learning-based prediction model for the cancer-related fatigue diagnostic screening in adult cancer patients: a cross-sectional study in China.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Prediction of SMILE surgical cutting formula based on back propagation neural network.International journal of ophthalmology · 2023Article
- Survival Prediction Model for Patients with Esophageal Squamous Cell Carcinoma Based on the Parameter-Optimized Deep Belief Network Using the Improved Archimedes Optimization Algorithm.Computational and mathematical methods in medicine · 2022Article
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6 authors.
Funding
Abstract
backgroundPostoperative fatigue (POF) is a common complication after gastrointestinal tumor surgery, and it also brings negative effect on prognosis and life quality. However, there are no prediction models for POF, and studies of risk factors are not comprehensive. Therefore, the aim of this study is to investigate the risk factors and pick out the best prediction model for POF and to validate it.
methodsA prospective study was conducted for patients undergoing elective gastrointestinal tumor surgery. Physiological, psychological, and socioeconomic factors were collected. Logistic regression, back-propagation artificial neural networks (BP-ANNs), and classification and regression tree (CART) were constructed and compared.
resultsA total of 598 patients consisting of 463 derivation sample and 135 validation sample were included. The incidence of POF in derivation sample, validation sample, and total were 58.3%, 57.0%, and 58.7%, respectively. Logistic regression results showed age, higher degree of education, lower personal monthly income, advanced cancer, hypoproteinemia, preoperative anxiety or depression, and limited social support were risk factors for POF. Receiver operating characteristic curve (ROC) and performance indices were used to test three models. BP-ANN was the best by the comparison of models, and its strong predictive performance was also validated.
conclusionsMore attention should be paid on specific patients after gastrointestinal tumor surgery. BP-ANN is a powerful mathematical tool that could predict POF exactly. It may be used as a noninvasive screening tool to guide clinicians for early identification of high-risk patients and grading interventions.
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