ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020
Predictors of readmission and reoperation in patients with colorectal cancer.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02488161 (Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Risk Factors of Adverse Outcomes at Short and Medium Term, and Development of Predictive Models, in Patients With Colorectal Cancer. IRYSS-coordinated Multicenter Study
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Risk factors for unplanned 31-day readmission after surgery for colorectal cancer patients: a meta-analysis.BMC gastroenterology · 2025Pooled it
- Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection.JCO clinical cancer informatics · 2024Article
- Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review.JCO clinical cancer informatics · 2024Article
- Updated systematic review and meta‑analysis for risk predictors of 30‑day unplanned readmission following gastric cancer surgery.Oncology letters · 2024Article
- Maximizing Readmission Reduction in Colon Cancer Patients.The Journal of surgical research · 2024Article
- Global elective breast- and colorectal cancer surgery performance backlogs, attributable mortality and implemented health system responses during the COVID-19 pandemic: A scoping review.PLOS global public health · 2023Article
- Assessment of the Clinical Usefulness of Preoperative Computed Tomography in Colorectal Cancer Patients Who Received Unplanned Reoperation.Gastroenterology research and practice · 2020Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo assess the impact of readmission and reoperation on colon or rectal cancer patients in clinical and patient-reported outcome measures (PROMs) and to identify predictors of these events up to 1 year after surgery.
methodsProspective cohort study of patients diagnosed with colon or rectal cancer who underwent surgery at 1 of 22 hospitals. Medical history, clinical parameters, and PROMs were evaluated as possible predictors. Multivariable multilevel logistic regression and survival models were used in the analyses to create the clinical prediction rules. Models were developed in a derivation sample and validated in a different sample.
resultsReadmission and reoperation were related to clinical outcomes and changes in some PROMs. Predictors of readmission in colon cancer were ASA class (odds ratio (OR) 4.5), TNM (OR for TNM III 3.24, TNM IV 4.55), evidence of residual tumor (R2) (OR 3.96), and medical (OR 1.96) and infectious (OR 2.01) complications within 30 days after surgery, while for rectal cancer, the predictors identified were age (OR 1.03), R2 (OR 6.48), infectious complications within 30 days (OR 2.29), hemoglobin (OR 3.26), lymph node ratio (OR 2.35), and surgical complications within 1 month (OR 3.04). Predictors of reoperation were TNM IV (OR 5.06), surgical complications within 30 days (OR 1.98), and type and site of tumor (OR 1.72) in colon cancer and being male (OR 1.52), age (OR 1.80), stoma (OR 1.87), and surgical complications within 1 month (OR 1.95) in rectal cancer.
conclusionsOur clinical prediction rule models are easy to use and could help to develop and implement interventions to reduce preventable readmissions and reoperations.
trial registrationhttps://clinicaltrials.gov/ct2/show/NCT02488161 Identifier: NCT02488161.
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