ArticleWorld journal of surgical oncology2021
Nomogram to predict postoperative infectious complications after surgery for colorectal cancer: a retrospective cohort study in China.
Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Nutritional risk score drives postoperative morbidity in colorectal cancer: findings from a LASSO-selected multivariable model in 1013 consecutive patients.Frontiers in nutrition · 2026Article
- Deep learning and body composition model for predicting postoperative complications in colorectal cancer.Frontiers in medical technology · 2026Article
- Article
- Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma.BMC gastroenterology · 2024Article
- Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.BMC medical informatics and decision making · 2024Article
- Impact of visceral obesity on infectious complications after resection for colorectal cancer: a retrospective cohort study.Lipids in health and disease · 2023Article
- Development and validation of a nomogram for predicting metachronous peritoneal metastasis in colorectal cancer: A retrospective study.World journal of gastrointestinal oncology · 2023Article
- Preoperative Immunocite-Derived Ratios Predict Surgical Complications Better when Artificial Neural Networks Are Used for Analysis-A Pilot Comparative Study.Journal of personalized medicine · 2023Article
- Effect of the systemic immune-inflammation index on postoperative complications and the long-term prognosis of patients with colorectal cancer: a retrospective cohort study.Journal of gastrointestinal oncology · 2022Article
- Nomogram to predict permanent stoma in rectal cancer patients after sphincter-saving surgery.World journal of gastrointestinal surgery · 2022Article
- The Effect of Complications on Oncological Outcomes of Colorectal Cancer Patients After Primary Surgery: A Propensity Score Matching Analysis.Frontiers in oncology · 2022Article
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5 authors.
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Abstract
backgroundPostoperative infectious complications (ICs) after surgery for colorectal cancer (CRC) increase in-hospital deaths and decrease long-term survival. However, the methodology for IC preoperative and intraoperative risk assessment has not yet been established. We aimed to construct a risk model for IC after surgery for CRC.
methodsBetween January 2016 and June 2020, a total of 593 patients who underwent curative surgery for CRC in Chengdu Second People's Hospital were enrolled. Preoperative and intraoperative factors were obtained retrospectively. The least absolute shrinkage and selection operator (LASSO) method was used to screen out risk factors for IC. Then, based on the results of LASSO regression analysis, multivariable logistic regression analysis was performed to establish the prediction model. Bootstraps with 300 resamples were performed for internal validation. The performance of the model was evaluated with its calibration and discrimination. The clinical usefulness was assessed by decision curve analysis (DCA).
resultsA total of 95 (16.0%) patients developed ICs after surgery for CRC. Chronic pulmonary diseases, diabetes mellitus, preoperative and/or intraoperative blood transfusion, and longer operation time were independent risk factors for IC. A prediction model was constructed based on these factors. The concordance index (C-index) of the model was 0.761. The calibration curve of the model suggested great agreement. DCA showed that the model was clinically useful.
conclusionSeveral risk factors for IC after surgery for CRC were identified. A prediction model generated by these risk factors may help in identifying patients who may benefit from perioperative optimization.
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