ArticleCancers2021
A Prediction Model for Severe Complications after Elective Colorectal Cancer Surgery in Patients of 70 Years and Older.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Prevalence and incidence of falls in older adults with cancer: a systematic review with meta-analysis.Journal of cancer survivorship : research and practice · 2026Pooled it
- Association of polypharmacy and perioperative outcomes: Systematic review and meta-analysis.Journal of perioperative practicePooled it
- Development and validation of a deep vein thrombosis risk assessment tool for surgical patients aged 75 years and older.BMC geriatrics · 2026Article
- Nutritional risk score drives postoperative morbidity in colorectal cancer: findings from a LASSO-selected multivariable model in 1013 consecutive patients.Frontiers in nutrition · 2026Article
- Machine learning-based prediction model for postoperative complications in gastric and colorectal cancer: A prospective nationwide multi-center study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025Article
- Predictive model for early postoperative stomal complications in colorectal cancer: A systematic review.World journal of gastrointestinal oncology · 2025Article
- Risk factors for postoperative complications in laparoscopic and robot-assisted surgery for octogenarians with colorectal cancer: A multicenter retrospective study.Annals of gastroenterological surgery · 2025Article
- The impact of dietary fiber on colorectal cancer patients based on machine learning.Frontiers in nutrition · 2025Article
- A nomogram of inflammatory indexes for preoperatively predicting the risk of lymph node metastasis in colorectal cancer.Techniques in coloproctology · 2024Article
- A retrospective study examining the association between polypharmacy and complications after laparoscopic surgery for colorectal cancer.Journal of pharmaceutical health care and sciences · 2024Article
- Association of cancer diagnosis with disability status among older survivors of colorectal cancer: a population-based retrospective cohort study.Frontiers in oncology · 2024Article
- CT-derived measures of muscle quantity and quality predict poorer outcomes from elective colorectal surgery: a UK multicentre retrospective cohort study.Techniques in coloproctology · 2023Article
- Nomogram for prediction of prolonged postoperative ileus after colorectal resection.BMC cancer · 2022Article
- External Validation of the American College of Surgeons Surgical Risk Calculator in Elderly Patients Undergoing General Surgery Operations.Journal of clinical medicine · 2022Article
- Classification of severe obstructive sleep apnea with cognitive impairment using degree centrality: A machine learning analysis.Frontiers in neurology · 2022Article
- Geriatric Oncology: From Research to Clinical Practice.Cancers · 2021Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Older patients have an increased risk of morbidity and mortality after colorectal cancer (CRC) surgery. Existing CRC surgical prediction models have not incorporated geriatric predictors, limiting applicability for preoperative decision-making. The objective was to develop and internally validate a predictive model based on preoperative predictors, including geriatric characteristics, for severe postoperative complications after elective surgery for stage I-III CRC in patients ≥70 years. PATIENTS AND
methodsA prospectively collected database contained 1088 consecutive patients from five Dutch hospitals (2014-2017) with 171 severe complications (16%). The least absolute shrinkage and selection operator (LASSO) method was used for predictor selection and prediction model building. Internal validation was done using bootstrapping.
resultsA geriatric model that included gender, previous DVT or pulmonary embolism, COPD/asthma/emphysema, rectal cancer, the use of a mobility aid, ADL assistance, previous delirium and polypharmacy showed satisfactory discrimination with an AUC of 0.69 (95% CI 0.73-0.64); the AUC for the optimism corrected model was 0.65. Based on these predictors, the eight-item colorectal geriatric model (GerCRC) was developed.
conclusionThe GerCRC is the first prediction model specifically developed for older patients expected to undergo CRC surgery. Combining tumour- and patient-specific predictors, including geriatric predictors, improves outcome prediction in the heterogeneous older population.
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